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  • MPI Ethno. Forsch.  (176)
  • Ethn. Museum Berlin
  • Cham : Springer International Publishing  (176)
  • Boston, Mass. :Safari Books Online,
  • Engineering—Data processing.  (176)
Datasource
  • MPI Ethno. Forsch.  (176)
  • Ethn. Museum Berlin
  • BSZ  (176)
Material
Language
Years
  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031256516
    Language: English
    Pages: 1 Online-Ressource(XIII, 208 p. 40 illus., 12 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Morphogenesis
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Dynamics. ; Nonlinear theories. ; Engineering mathematics. ; Psycholinguistics. ; Arts. ; Religion. ; Engineering
    Abstract: Introduction -- From sensorial capacities to symbolic forms (with particular reference to odor and color) -- The morphogenesis of symbolic forms in music -- The morphogenesis of visual symbolic forms (art, architecture, and urban structures) -- The morphogenesis and self-organization of myth and religion -- The morphogenesis of language and morphodynamic grammar -- Peirce’s semiotics, Cassirer’s philosophy of culture, and the epistemology of semiotics -- Final reflections.
    Abstract: In the present book, the starting line is defined by a morphogenetic perspective on human communication and culture. The focus is on visual communication, music, religion (myth), and language, i.e., on the “symbolic forms” at the heart of human cultures (Ernst Cassirer). The term “morphogenesis” has more precisely the meaning given by René Thom (1923-2002) in his book “Morphogenesis and Structural Stability” (1972) and the notions of “self-organization” and cooperation of subsystems in the “Synergetics” of Hermann Haken (1927- ). The naturalization of communication and cultural phenomena is the favored strategy, but the major results of the involved disciplines (art history, music theory, religious science, and linguistics) are respected. Visual art from the Paleolithic to modernity stands for visual communication. The present book focuses on studies of classical painting and sculpture (e.g., Leonardo da Vinci, William Turner, and Henry Moore) and modern art (e.g., Jackson Pollock and Joseph Beuys). Musical morphogenesis embraces classical music (from J. S. Bach to Arnold Schönberg) and political songwriting (Bob Dylan, Leonhard Cohen). The myths of pre-literary societies show the effects of self-organization in the re-assembly (bricolage) of traditions. Classical polytheistic and monotheistic religions demonstrate the unfolding of basic germs (religious attractors) and their reduction in periods of crisis, the self-organization of complex religious networks, and rationalized macro-structures (in theologies). Significant tendencies are analyzed in the case of Buddhism and Christianism. Eventually, a holistic view of symbolic communication and human culture emerges based on state-of-the-art in evolutionary biology, cognitive science, linguistics, and semiotics (philosophy of symbolic forms).
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  • 2
    ISBN: 9783031155093
    Language: English
    Pages: 1 Online-Ressource(XIII, 408 p. 83 illus., 55 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1433
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science. This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
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  • 3
    ISBN: 9783031194993
    Language: English
    Pages: 1 Online-Ressource(XII, 294 p. 213 illus., 169 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 564
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering mathematics. ; Engineering
    Abstract: The book is a collection of high-quality peer-reviewed research papers presented at the 18th International Symposium of Organizational Sciences (SymOrg 2022) held in Belgrade, Serbia, from June 11 to June 14, 2022. The aim of the book is providing stimulative framework for readers to explore viable alternatives and indicate implications for the post-pandemic world. Researchers from academia and industry present their original work focusing on different aspects of sustainable management and digital transformation including blockchain technology, business analytics, e-business, innovation, digital operations and logistics management, financial industry, public administration, lean business systems, digital transformation projects, human resources, marketing and communication, and quality and standardization. The chapters are useful for industry experts, research institutions, universities, and all others who share a common interest in contemporary organizational sciences.
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  • 4
    ISBN: 9783031147715
    Language: English
    Pages: 1 Online-Ressource(XXII, 416 p. 101 illus., 91 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1060
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Engineering
    Abstract: Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge -- Customized Training of Pretrained Language Models to Detect Post Intents in Online Health Support Groups -- EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text.
    Abstract: This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.
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  • 5
    ISBN: 9783031196942
    Language: English
    Pages: 1 Online-Ressource(XII, 671 p. 437 illus., 363 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 567
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Energy policy. ; Energy and state. ; Engineering
    Abstract: This book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme “Green technology and sustainable development in Industrial Revolution 4.0” not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Through thorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The collected research results could be useful alternatives and implications for industry experts, research institutions, universities, and all others who share a common interest in the future global sustainable development.
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  • 6
    ISBN: 9783031262548
    Language: English
    Pages: 1 Online-Ressource(XXIII, 925 p. 514 illus., 402 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 635
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence.
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  • 7
    ISBN: 9783031290978
    Language: English
    Pages: 1 Online-Ressource(XXIII, 1024 p. 341 illus., 230 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 170
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: TOPSIS Model Establishment in the Context of Internet Finance -- An Analysis of Internet Financial Risk Prevention Strategies from the Perspective of Network Security -- Prediction of Transaction Risk in Financial Market Based on Neural Network Model -- Intelligent Business Model Data Analysis Based on Particle Swarm Optimization -- Multi-dimensional Data Perception and Intelligent Analysis Framework Design of Management Information System -- Resource Transaction Management System Based on PageRank Algorithm -- Research on Intelligent Student Management Evaluation Information System Based on Data Mining Algorithm -- Purchasing Management System Based on Genetic Algorithm -- Credit Risk Prediction Model of Digital Rural Finance Based on PSO-SVM -- Cache High Availability Intelligent Stall Management System Based on Redis Sentinel Mechanism Architecture -- The Application of BIM Technology in the Construction of Project Construction Management Platform -- Innovation of Financing Mode for Small and Micro Enterprises on Digital Finance Technology Algorithm -- Coal Energy Management Estimation System Based on Artificial Intelligence Algorithm -- Establishment of Enterprise Management Information System Based on Big Data Information Technology -- Application Analysis of Intelligent Information Technology in Transaction Management System -- Design of Management Cloud Information System for Residential Buildings Based on High-Performance Computing and Face Recognition Technology -- Development of Student Management System Based on WeChat Public Platform -- Application of Artificial Intelligence Technology in Human Resource Delicacy Management System -- Application of Data Mining Technology (DMT) in Human Resources Assessment Management System.
    Abstract: This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.
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  • 8
    ISBN: 9783031283871
    Language: English
    Pages: 1 Online-Ressource(X, 599 p. 279 illus., 224 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 625
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.
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  • 9
    ISBN: 9783031282478
    Language: English
    Pages: 1 Online-Ressource(XIV, 442 p. 89 illus., 50 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 122
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Business logistics. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Supply Chain Management -- Performance Evaluation of Supply Chain Management -- Main models and approaches in supply chain evaluation -- Supplier Performance Evaluation Models -- Examining supply chain crises and disruptions -- Data Envelopment Analysis -- Supplier selection.
    Abstract: The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field. This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model. .
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  • 10
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031115936
    Language: English
    Pages: 1 Online-Ressource(XXII, 281 p. 107 illus., 83 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 230
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Living beyond data with Feature Concepts -- Innovation for the Real-World through Knowing Why -- Why Abductive Cognition Goes Beyond Just Learning from Data. .
    Abstract: This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful. The reader will be released from these dilemmas and enabled to act beyond patterns in past events by creating a process to interact with the data market and the dynamic real-world rich in new events. We present new approaches from the aspects of computation, communication, and their integration, to readers including analysts in sciences and businesses, systems managers, and learners desiring to design knowledge to learn. We show clues to explaining causalities in the target world of a black-box AI of which users may seek a predictive performance. For obtaining interpretable knowledge, we show the integration of model- and data-driven approaches, the analysis and perception of signals from data acquired in the cyber or the real word, and creative communication which connects demands to data by visualizing the data market as a place for innovations.
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  • 11
    ISBN: 9783031299377
    Language: English
    Pages: 1 Online-Ressource(XII, 190 p. 51 illus., 43 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 125
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Translating science into actionable policy information – a perspective on the IPCC process -- Data in Observational Astronomy -- On Becoming a Data-Scientist , Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices -- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statistician’s, community partner’s and students’ perspectives on a successful partnership.
    Abstract: The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.
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  • 12
    ISBN: 9783031319525
    Language: English
    Pages: 1 Online-Ressource(XI, 392 p. 102 illus., 42 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 6
    Series Statement: Engineering cyber-physical systems and critical infrastructures
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: From Smart Devices to Smarter Systems: The Evolution of Artificial Intelligence of Things (AIoT) with Characteristics, Architecture, Use cases and Challenges -- AI enabled human and machine activity monitoring in Industrial IoT systems -- AI Model for Block-chain Based Industrial IoT and Big Data Analytics -- SIMDPS: Smart Industry Monitoring And Disaster Prediction System -- An Artificial Intelligence Based Sustainable Approaches - IoT Systems for Smart Cities -- Empowering Artificial Intelligence of Things (AIoT) toward Smart Healthcare Systems -- AI Enabled Internet of Medical Things In Smart Healthcare -- AI Model for Blockchain based Industrial Application in Healthcare IoT.
    Abstract: The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
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  • 13
    ISBN: 9783031204296
    Language: English
    Pages: 1 Online-Ressource(XVII, 693 p. 298 illus., 228 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 573
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: ECG Signal Classification Based on Neural Network -- A Review of Long Short-Term Memory Approach for Time Series Analysis and Forecasting -- Applying Modified LBP For 2D ECG Images Classification -- Integrating Ontology with Imaging and Artificial Vision for a High-Level Semantic: A Review -- Agent-Based Simulations for Aircraft Boarding: A Critical Review -- Adaptive Systems and Materials Technologies in Civil Engineering: A review -- A New Method for EEG signals Classification Based on RBF NN -- Intelligent Fault Detection of Rotating Machinery Using Long-Short-Term Memory (LSTM) Network -- What People Post During the Movement Control Order (MCO): A Content Analysis of Instagram’s Top Posts -- A Comparative Study on the Recognition of English and Arabic Handwritten Digits Based on the Combination of Transfer Learning and Classifier.
    Abstract: This book sheds light on the recent research directions in intelligent systems and their applications. It involves four main themes: artificial intelligence and data science, recent trends in software engineering, emerging technologies in education, and intelligent health informatics. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.
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  • 14
    ISBN: 9783031311536
    Language: English
    Pages: 1 Online-Ressource(XIII, 628 p. 335 illus., 278 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 671
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Management. ; Engineering
    Abstract: This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.
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  • 15
    ISBN: 9783031160387
    Language: English
    Pages: 1 Online-Ressource(IX, 366 p. 155 illus., 111 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 500
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years. NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.
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  • 16
    ISBN: 9783031177460
    Language: English
    Pages: 1 Online-Ressource(XVI, 749 p. 62 illus., 45 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 557
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Business information services. ; Engineering
    Abstract: This book shows latest research on the role Artificial inelegance in enabling IoT to evoke IoI, and how IoI flourish inside technologies like social media platforms, social networks: communities of practice/interest, to assure a globally sustainable unit where humans integrate with machines to collaboratively share ideas and solve complex problems. Such a book holds several benefits. It will reveal theoretical practical, and managerial implications through discussions that will embrace a wide array of technologies focused on the role of AI enabled IoT to evoke IoI. EAMMIS 2022 was organized by the Bridges Foundation in cooperation with Coventry University, UK on the 10th and 11th of June 2022. EAMMIS 2022 theme was From the Internet of Things to the Internet of Ideas: The role of Artificial Intelligence. The papers presented at the conference provide a holistic view of AI and its applications, IOT and the IOI which will help societies to better use and benefit from AI, IOT and IOI to develop future strategies and actions. .
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  • 17
    ISBN: 9783031253447
    Language: English
    Pages: 1 Online-Ressource(IX, 577 p. 271 illus., 210 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 624
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: The ICISAT’2022 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. The aim of the ICIS1T’2022 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences. ICISAT’2022 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. The book of ICISAT’2022 includes selected papers from the 12th International Conference on Information Systems and Advanced Technologies “ICISAT’2022”, organized online during August 26–27, 2022. In this book, researchers, professional software, and systems engineers from around the world addressed intelligent information, data science, and decision support system for the conference. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this research domain. The list of topics is in all the areas of modern intelligent information systems and technologies such as neural networks, evolutionary computing, adaptive systems, pervasive system, ubiquitous system, E-learning and teaching, knowledge-based paradigms, learning paradigms, intelligent data analysis, intelligent decision making and support system, intelligent network security, web intelligence, deep learning, natural language processing, image processing, general machine learning, and unsupervised learning.
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  • 18
    ISBN: 9783031288937
    Language: English
    Pages: 1 Online-Ressource(XXI, 761 p. 235 illus., 173 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 169
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: D_Modeling and Simulation of Intelligent Building Robot Based on Star Algorithm -- Industrial Economic Trade Volume Based on Multi-prediction Model Algorithm -- Multi-objective Optimization of FCC Separation System Based on Particle Swarm Optimization -- Design of Prefabricated Building Performance Detection System based on Optimized Ant Colony Algorithm -- Risk Detection System of Bridge Construction based on Fast ICA Algorithm -- Research on Optimization of Low-Carbon Logistics Distribution Route Based on Genetic Algorithm -- Optimization Analysis of Uneven Settlement in Pipe Gallery Based on Ant Colony Algorithm -- Multi Objective Optimization of Decoration Engineering Project on Account of Ant Colony Algorithm and BIM -- Design of Decoration Energy Saving Integrated System Based on Genetic Algorithm and BIM -- Electronic Logistics Distribution System with Improved Entity Recognition Algorithm -- Application Analysis of Electric Vehicle Intelligent Charging Based on Internet of Things Technology -- Urban Ecotourism Evaluation System Based on Ant Colony Algorithm -- License Plate Recognition System based on Neural Network -- Design of Mechanical Equipment Fault Detection Robot Based On Electronic Tracing Algorithm -- Application of Mobile Learning App in Smart English Classroom under the Background of Information Technology -- Technical Application and Design of Power Intelligent Platform Based on Winter Olympics -- Water Ecological Health Evaluation System Based on Data Fusion Technology -- Study on Intelligent Terrain Monitoring System and Key Rescue Technology of Construction Machinery.
    Abstract: This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.
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  • 19
    ISBN: 9783031319563
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 753 p. 386 illus., 293 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 7
    Series Statement: Engineering cyber-physical systems and critical infrastructures
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Sentiment Analysis in Turkish using Transformer-based Deep Learning Models -- Mathematical Modeling of an Antenna Device Based on a T-shaped Waveguide of the Microwave Range -- Higher-order and stable numerical scheme for nonlinear diffusion system via compact finite difference and adaptive step-size Runge-Kutta methods -- Explainable Artificial Intelligence (XAI) for Deep Learning Based Intrusion Detection Systems -- A Color Channel Based Analysis on Image Tessellation -- Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Network (ANN) -- Change of the Internet with Blockchain and Metaverse Technologies -- A Language-Free Hate Speech Identification on Code-Mixed Conversational Tweets -- Decision Trees in Causal Inference -- The Resilience of Unmanned Aerial Vehicles to Cyberattacks and Assessment of Potential Threats.
    Abstract: As general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22, 2022. Objective of the book content is to inform the international audience about the cutting-edge, effective developments and improvements in different engineering fields. As a collection of the ICAIAME 2022 event, the book gives consideration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.
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  • 20
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031181009
    Language: English
    Pages: 1 Online-Ressource(XIV, 242 p. 62 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 219
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Control engineering. ; Engineering
    Abstract: Understanding Risk -- Standard Risk Metrics -- Risk in Digital Assets -- Networks of Risk -- Analyzing Rare Risks -- Humans in the Network.
    Abstract: This book presents a foray into the fascinating process of risk management, beginning from classical methods and approaches to understanding risk all the way into cutting-age thinking. Risk management by necessity must lie at the heart of governing our ever more complex digital societies. New phenomena and activities necessitate a new look at how individuals, firms, and states manage the uncertainty they must operate in. Initial chapters provide an introduction to traditional methods and show how they can be built upon to better understand the workings of the modern economy. Later chapters review digital activities and assets like cryptocurrencies showing how such emergent risks can be conceptualized better. Network theory figures prominently and the book demonstrates how it can be used to gauge the risk in the digital sectors of the economy. Predicting the unpredictable black swan events is also discussed in view of a wider adoption of economic simulations. The journey concludes by looking at how individuals perceive risk and make decisions as they operate in a virtual social network. This book interests the academic audience, but it also features insights and novel research results that are relevant for practitioners and policymakers. .
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  • 21
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031283949
    Language: English
    Pages: 1 Online-Ressource(XVI, 310 p. 114 illus., 110 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Industrial Control
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Control engineering. ; Computational intelligence. ; Production engineering. ; Engineering mathematics. ; Industrial engineering. ; System theory. ; Engineering
    Abstract: 1. Background on Reinforcement Learning and Optimal Control -- 2. H-infinity Control Using Reinforcement Learning -- 3. Robust Tracking Control and Output Regulation -- 4. Interleaved Robust Reinforcement Learning -- 5. Optimal Networked Controller and Observer Design -- 6. Interleaved Q-Learning -- 7. Off-Policy Game Reinforcement Learning -- 8. Game Reinforcement Learning for Process Industries.
    Abstract: This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player systems. A concise description of classical reinforcement learning (RL), the basics of optimal control with dynamic programming and network control architectures, and a brief introduction to typical algorithms build the foundation for the remainder of the book. Extensive research on data-driven robust control for nonlinear systems with unknown dynamics and multi-player systems follows. Data-driven optimal control of networked single- and multi-player systems leads readers into the development of novel RL algorithms with increased learning efficiency. The book concludes with a treatment of how these RL algorithms can achieve optimal synchronization policies for multi-agent systems with unknown model parameters and how game RL can solve problems of optimal operation in various process industries. Illustrative numerical examples and complex process control applications emphasize the realistic usefulness of the algorithms discussed. The combination of practical algorithms, theoretical analysis and comprehensive examples presented in Reinforcement Learning will interest researchers and practitioners studying or using optimal and adaptive control, machine learning, artificial intelligence, and operations research, whether advancing the theory or applying it in mineral-process, chemical-process, power-supply or other industries.
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  • 22
    ISBN: 9783031228353
    Language: English
    Pages: 1 Online-Ressource(XXI, 317 p. 84 illus., 57 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 237
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Data protection. ; Engineering
    Abstract: An Introduction to Blockchain Technology: Recent Trends -- Bitcoin: Beginning of the Cryptocurrency Era -- HR Digital Transformation: Blockchain for Business -- Securing Electronic Health Record System in Cloud Environment Using Blockchain Technology -- Blockchain: The foundation of trust in Metaverse -- Survey on Blockchain Technology and Security Facilities in Online Education -- A Govern Chain – Integration of Government Function with Blockchain Technology -- Blockchain in Healthcare: A Review -- Blockchain: A Study of New Business Model -- Understanding the Blockchain Technology Adoption in Transportation Management: Application in Trucking Industry.
    Abstract: This book provides insights on blockchain technology and its applications in real-world business, supply chain, health care, education, HRM, retail, logistics and transport industries. This book grants a comprehensive understanding of how this technology is functioning within modern real-world applications and how it can influence the future of the real-world applications in industry. The chapters cover the case study, applications of blockchain, benefits and challenges, disruptive innovations in real-world applications, privacy and security concerns, and the recent trends of blockchain in real-world applications. It is ideally intended for marketers, advertisers, brand managers, executives, managers, IT specialists and consultants, researchers, businesses, practitioners, stakeholders, academicians, and students interested in blockchain technology and its role in supply chain, health care, education, HRM, retail, logistics and transport industries.
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  • 23
    ISBN: 9783031252747
    Language: English
    Pages: 1 Online-Ressource(XVI, 653 p. 175 illus., 106 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 584
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: Keys to Successful Product and Process Innovation through Soft TQM: An ANN Approach -- Big Data Techniques and internal control: An Evidence from Egypt -- What is stopping you from using mobile payment in Oman? -- Social Media Influencer Marketing: How Influencer Content help? -- Adoption Decision and Alleviation of Mobile Payment -- Blockchain Technology in Malaysian Estate Distribution: A Systematic Review -- An Overview of the Smart Grid attributes, Architecture and Components -- The Mobile Attacks under Internet of Things Networks -- An Overview of Blockchain-based IoT Architectures and Designs -- Modeling and Performance Evaluation of Solar Cells Using I-V curve Analysis.
    Abstract: This book sheds light on the recent research directions in intelligent systems and their applications. It involves two main themes, including management information systems and advances in information security and networking. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.
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  • 24
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031196089
    Language: English
    Pages: 1 Online-Ressource(XII, 185 p. 76 illus., 60 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1075
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Research on Development of Sponsorship Effect Analysis Module Using Text Mining Technique -- A Study on the Relationship between ESG News Keywords and ESG Ratings -- Development of Associated Company Network Visualiza-tion Techniques using Company Product and Service In-formation – Using Cosine Similarity Function -- Hybrid CNN-LSTM based time series data prediction model study -- A Study on Predicting Employee Attrition Using Machine Learning -- A study on the Intention to continue using a Highway Driving assistance (HDA) system based on Advanced Driver Assistance System (ADAS) -- Security Policy Deploying System for Zero Trust Environment -- TTY Session Audit Techniques for Linux Platform1 -- A Study on the Role of Higher Education and Human Re-sources Development for Data Driven AI Society -- The Way Forward for Security Vulnerability Disclosure Policy: Comparative Analysis of US, EU, and Nether-lands -- Study on Government Data Governance Framework: based on the National Data Strategy in the US, the UK, Australia, and Japan -- A Study on the Attack Index Packet Filtering Algorithm Based on Web Vulnerability -- Analysis of IoT research topics using LDA Modeling -- Log4j Vulnerability Analysis and Detection Pattern Pro-duction Technology based on Snort Rules -- A Study on Technology Innovation at Incheon International Airport: Focusing on RAISA.
    Abstract: This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. All aspects (theory, applications, and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.
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  • 25
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031260865
    Language: English
    Pages: 1 Online-Ressource(IX, 210 p. 10 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 218
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Earth sciences. ; Engineering
    Abstract: Introduction -- (Rational) Individual Decision Making: Main Ideas -- (Rational) Group Decision Making: General Formulas and a New Simplified Derivation of These Formulas -- How We Can Control Group Decision Making By Modifying the Proposed Options -- The Fact That We Can Only Have Approximate Estimates Explains Why Buying and Selling Prices Are Different -- The “No Trade Theorem” Paradox -- People Make Decisions Based on Clusters Containing Actual Values -- When Revolutions Succeed -- How People Combine Utility Values -- Biased Perception of Time -- Few-Parametric Spatial Models and How They Explain Bhutan Landscape Anomaly -- Dynamic Triggering of Earthquakes -- Applications to Computing: Representing Functions in Quantum -- and Reversible Computing.
    Abstract: This book describes new techniques for making decisions in situations with uncertainty and new applications of decision-making techniques. The main emphasis is on situations when it is difficult to decrease uncertainty. For example, it is very difficult to accurately predict human economic behavior, so in economics, it is very important to take this uncertainty into account when making decisions. Other areas where it is difficult to decrease uncertainty are geosciences and teaching. The book analyzes the general problem of decision making and shows how its results can be applied to economics, geosciences, and teaching. Since all these applications involve computing, the book also shows how these results can be applied to computing, including deep learning and quantum computing. The book is recommended to researchers, practitioners, and students who want to learn more about decision making under uncertainty—and who want to work on remaining challenges.
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  • 26
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031322426
    Language: English
    Pages: 1 Online-Ressource(VI, 118 p. 58 illus., 53 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 126
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Statistics . ; Big data. ; Engineering
    Abstract: Introduction -- Bayesian Single Target Tracking -- Bayesian Particle Filtering -- Simple Multiple Target Tracking -- Intensity Filters.
    Abstract: This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers. The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience. The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.
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  • 27
    ISBN: 9783031328282
    Language: English
    Pages: 1 Online-Ressource(XXX, 227 p. 72 illus., 65 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 128
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Sociology, Urban. ; Computational intelligence. ; Engineering
    Abstract: The Smart C3 Model – Smart Citizens, Communities and Cities -- Connected Citizens are Smart Citizens -- Keystone for Smart Communities - Smart Households -- Smart communities -- Smart communities and cities as a unified concept.
    Abstract: This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.
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  • 28
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031335600
    Language: English
    Pages: 1 Online-Ressource(VIII, 184 p. 71 illus., 70 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 242
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Machine learning. ; Engineering
    Abstract: 1 Multi-Aspect Data Learning: Overview, Challenges and Approaches -- 2 Non-negative Matrix Factorization-Based Multi-Aspect Data Clustering -- 3 NMF and Manifold Learning for Multi-Aspect Data -- 4 Subspace Learning for Multi-Aspect Data -- 5 Spectral Clustering on Multi-Aspect Data -- 6 Learning Consensus and Complementary Information for Multi-Aspect Data Clustering -- 7 Deep Learning-Based Methods for Multi-Aspect Data Clustering.
    Abstract: This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field.
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  • 29
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031175480
    Language: English
    Pages: 1 Online-Ressource(X, 202 p. 110 illus., 74 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 150
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: Passenger Flow Control in Subway Station with Card-Swiping Data -- On Anomaly Detection in Graphs as Node Classification -- Agriculture Stimulates Chinese GDP: A Machine Learning Approach -- Short Message Service Spam Detection using BERT -- A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources -- Student Achievement Predictive Analytics Based on Educational Data Mining -- Prediction and Analysis of COVID-19's Prevention and Control Based on AnyLogic in the Background of Big Data -- Distributed Multi-source Service Data Stream Processing Technology and Application in Power Grid Dispatching System -- NVLSM: Virtual Split Compaction on Non-volatile Memory in LSM-tree KV Stores -- Evaluation of the Performance Character of SPIRIT Value through Pancasila Education during the Covid-19 Pandemic -- Is it Possible to Instilling Character SPIRIT Values through Civic Education during COVID-19 Pandemic? -- An Adaptive Self-detection and Self-classification Approach Using Matrix Eigenvector Trajectory -- Super-Resolution Virtual Scene of Flight Simulation Based on Convolutional Neural Networks -- User Assignment for Full-Duplex Multi-user System with Distributed Aps -- CDN Service Detection Method Based on Machine Learning -- A Decision Method for Missile Target Allocation -- A Physical Ergonomics Study on Adaptation and Discomfort of Student’s E-Learning in the Philippines during the COVID-19 Pandemic.
    Abstract: This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22–24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today’s enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems.
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  • 30
    ISBN: 9783031220180
    Language: English
    Pages: 1 Online-Ressource(XIII, 418 p. 145 illus., 116 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 599
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Data protection. ; Engineering
    Abstract: This book covers selected high-quality research papers presented in the International Conference on Cyber Security, Privacy and Networking (ICSPN 2022), organized during September 09–11, 2022, in Thailand in online mode. The objective of ICSPN 2022 is to provide a premier international platform for deliberations on strategies, recent trends, innovative approaches, discussions and presentations on the most recent cyber security, privacy and networking challenges and developments from the perspective of providing security awareness and its best practices for the real world. Moreover, the motivation to organize this conference is to promote research by sharing innovative ideas among all levels of the scientific community and to provide opportunities to develop creative solutions to various security, privacy and networking problems.
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  • 31
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031224089
    Language: English
    Pages: 1 Online-Ressource(XIII, 234 p. 67 illus., 47 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 5
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Conceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services -- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework -- New Architecture to facilitate the expansion of E-Government -- Struggling against tax fraud, a holistic approach using artificial intelligence -- e-Government and Green IT: the intersection point -- Machine Learning Technique for Predicting the Rural Citizens’ Trust on using E-Governance Health Care Applications during COVID-19 -- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape -- Enhancing government actions against Covid-19 using computer science -- From paper to digital: e-government's evolution and pitfalls in Brazil -- The role of public libraries in improving public literacy through Twitter social media in Indonesia.
    Abstract: This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.
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  • 32
    ISBN: 9783031290565
    Language: English
    Pages: 1 Online-Ressource(XXIX, 577 p. 249 illus., 188 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 661
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
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  • 33
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031137020
    Language: English
    Pages: 1 Online-Ressource(VII, 153 p. 57 illus., 44 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1000
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Food science. ; Engineering
    Abstract: Application of Artificial Intelligence in the Food Industry: AI-based Automatic Pruning of Dormant Apple Trees -- Wheat Leaf-Disease Detection Using Machine Learning Techniques for Sustainable Food Quality -- Explainable AI and Slime Mould Algorithm for Classification of Pistachio Species -- A Support Vector Machine Model for Rice (Oryza sativa L.) Leaf Diseases Based on Particle Swarm Optimization -- CNN in Agriculture and Food Industry: Current Practices and Future Trends -- Utilization of Artificial Intelligence in the Food Industry -- Transfer learning-based models for Arabica coffee leaf disease classification -- Potential of IoT for Water Monitoring to Upgrade Food Quality -- .
    Abstract: This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.
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  • 34
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031291326
    Language: English
    Pages: 1 Online-Ressource(VIII, 265 p. 83 illus., 75 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 123
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Development of Cognitive Intelligent Mechanism for Sustainability of Bigdata: A Future Shape of Metaverse -- Towards 3D Virtual Dressing Room Based User-Friendly Metaverse Strategy -- Metaverse for Brain Computer Interface: Towards New and Improved Applications -- The Future of Metaverse in the Virtual Era and Physical World: Analysis and applications -- The Use of Metaverse in the Healthcare Sector: Analysis and Applications -- The ethics of the Metaverse and Digital Virtual Environments: the Metavethics.
    Abstract: This book is divided into three parts. The first part discusses the Metaverse's basics, development, and optional applications such as 3D virtual dressing room-based user-friendly Metaverse, the use of Metaverse in the healthcare and environment sectors as well as the ethics of the Metaverse and digital virtual environments. Part two presents some chapters that discuss emerging technologies in the Metaverse world including IoT, digital twining, and artificial intelligence and shows its impact on climate change. The third part contains chapters discussing cybersecurity in the Metaverse including blockchain technology opportunities and applications and the threat of the digital humanities in the Metaverse. The book is suitable for students and academics aiming to build up their background on the Future of the Metaverse in the Virtual Era and Physical World. .
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  • 35
    ISBN: 9783031205699
    Language: English
    Pages: 1 Online-Ressource(XIII, 116 p. 26 illus.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1041
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Motivation and Outline -- A General Description of Measuring Devices: Plan -- A General Description of Measuring Devices: First Step – Finite Set of Possible Outcomes -- A General Description of Measuring Devices: Second Step – Pairs of Compatible Outcomes -- A General Description of Measuring Devices: Third Step – Subsets of Compatible Outcomes -- A General Description of Measuring Devices: Fourth Step – Conditional Statements about Possible Outcomes -- A General Description of Measuring Devices: Fifth Step – Disjunctive Conditional Statements about the Possible Outcomes -- A General Description of Measuring Devices: Summary -- Physical Quantities: A General Description -- Properties of Physical Quantities -- Future Work.
    Abstract: This book is about methodological aspects of uncertainty propagation in data processing. Uncertainty propagation is an important problem: while computer algorithms efficiently process data related to many aspects of their lives, most of these algorithms implicitly assume that the numbers they process are exact. In reality, these numbers come from measurements, and measurements are never 100% exact. Because of this, it makes no sense to translate 61 kg into pounds and get the result—as computers do—with 13 digit accuracy. In many cases—e.g., in celestial mechanics—the state of a system can be described by a few numbers: the values of the corresponding physical quantities. In such cases, for each of these quantities, we know (at least) the upper bound on the measurement error. This bound is either provided by the manufacturer of the measuring instrument—or is estimated by the user who calibrates this instrument. However, in many other cases, the description of the system is more complex than a few numbers: we need a function to describe a physical field (e.g., electromagnetic field); we need a vector in Hilbert space to describe a quantum state; we need a pseudo-Riemannian space to describe the physical space-time, etc. To describe and process uncertainty in all such cases, this book proposes a general methodology—a methodology that includes intervals as a particular case. The book is recommended to students and researchers interested in challenging aspects of uncertainty analysis and to practitioners who need to handle uncertainty in such unusual situations.
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  • 36
    ISBN: 9783031054914
    Language: English
    Pages: 1 Online-Ressource(XVIII, 398 p. 150 illus., 107 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 314
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering mathematics. ; Engineering
    Abstract: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.
    Abstract: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
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  • 37
    ISBN: 9783031213335
    Language: English
    Pages: 1 Online-Ressource(XXVI, 1121 p. 435 illus., 390 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 594
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: MoveLeg: An assistive device for the motor tele-rehabilitation of the lower limbs -- Association between objectively measured shoulder kinematics and fear avoidance beliefs in women with Latissimus Dorsi flap breast reconstruction -- Validity of Using a Driving Game Simulator to Study the Visual Attention Differences in Young and Older Adults -- Swarm Intelligence based Multi-agent Communication Model for securing Healthcare Ecosystem -- Study of different seat allocation strategies to reduce the risk of contagion among passengers in a public road transport system -- Generation and classification of illicit Bitcoin transactions -- Following negationists on Twitter and Telegram: Application of NCD to the analysis of multiplatform misinformation dynamics.
    Abstract: This book reports a set of novel research initiatives on ambient intelligence and ubiquitous computing that help researchers and practitioners identify recent advances, as well as the frontiers in these study domains. During the last two decades, both study areas have gained great interest in industry and academia due to the benefits of using smart solutions in various application domains, such as health care, ambient-assisted living, personal security and privacy, citizen participation, provision of urban services, and precision agriculture and farming. The articles included in this book report solutions and provide empirical results on their suitability to address problems and opportunities in these application domains. The articles also include discussions on how the proposals and their evaluation results inform the design of the next generation of ubiquitous and smart systems. Researchers, practitioners, and graduate students take advantage of this knowledge to address innovation and engineering aspects of smart and ubiquitous solutions for the next decade.
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  • 38
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031244537
    Language: English
    Pages: 1 Online-Ressource(XII, 252 p. 100 illus., 76 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1084
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Computational Thinking Design Application for STEAM Education -- Education Data for Science: Case of Lithuania -- Imbalanced Data Classification Approach Based on Clustered Training Set -- Baltic States in Global Value Chains: Quantifying International Production Sharing at Bilateral and Sectoral Levels -- The Soft Power Of Understanding Social Media Dynamics: A Data-Driven Approach -- Bootstrapping Network Autoregressive Models for Testing Linearity -- Novel data science methodologies for essential genes identification based on network analysis -- Acoustic Analysis for Vocal Fold Assessment - Challenges, Trends, and Opportunities -- The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS) Based Decision Support System (DSS) -- Stock Portfolio Risk-Return Ratio Optimisation using Grey Wolf Model -- Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems.
    Abstract: This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities.
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  • 39
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031307690
    Language: English
    Pages: 1 Online-Ressource(VIII, 165 p. 83 illus., 60 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 677
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Image processing—Digital techniques. ; Computational intelligence. ; Computer vision. ; Image processing ; Engineering
    Abstract: Analog on Digital (AoD) Theory-based Design of Book Application for Representing Real-life Experience -- The Modelling And Designing of Tourism Activity Locator Application -- Development of Drawing Software That Gives a Staple Drawing Feeling by the Difference in Sound -- The Impact of Video Conference Application to College Students in Online Learning Activities -- Proposal for a Theatre Optique Simulated Experience Application -- A Classification and Analysis Focusing on Attempts to Give a Computer a Personality: A Technological History of Chatbots as Simple Artificial Intelligence -- With Post-Internet Society, The Third Agent -- Research on Digital Reading Experience with ‘Page-turning’ Physical Feedback -- Method of Extracting Community Colors with Local Characteristics in Landscape Planning: Planning the Color Scheme for the Taisetsu-Furano Route of the Scenic Byway Hokkaido -- Non-pharmacological Treatment of Dementia from the Perspective of Applied Informatics -- Research Methods to Build A Reference Model for Designing Addiction-aware Video Game -- TrAcOn: a Traffic Accident Ontology for Identifying Accidents-prone Areas in Senegal -- Ontology Partitioning for Managing Change Effects -- The Effect of Digital Marketing on Micro, Small and Medium Enterprise in Indonesia -- Bidirectional Associative Memory as Normalisator Backpropagation Neural Network in The Signature Image Training -- Author Index.
    Abstract: This book aims to share the theory and practice in innovative human/society-oriented information systems. The purpose of information technology is for people, communities, and societies, and we cannot ignore the human behavior and social features to design better information systems. The book includes the selected papers in the International Conference on Applied Informatics and Media Design 2019 (AIMD 2019) held at California State University, Bakersfield, USA, and International Conference on Applied Information Technologies 2021 (AIT 2021) held online, which are focused on information design, human–computer interaction, and social support systems. The book also contains multi-aspect contributions on applied informatics and media engineering, such as color design, online learning, creativity support, philosophical issues, elder treatment, AI, and business informatics.
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  • 40
    ISBN: 9783031170911
    Language: English
    Pages: 1 Online-Ressource(XIX, 681 p. 347 illus., 291 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 524
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Cooperating objects (Computer systems). ; Industrial engineering. ; Production engineering. ; Engineering
    Abstract: Novel Dynamometer: the Gripwise -- Software Configurable Hardware-based Remote Laboratory System -- Software Configurable Hardware-based Remote Laboratory System -- Printed Wearable Accessories For Electrochemical Applications -- AES Hardware Implementation Based On FPGA With Improved Throughput -- The Impact of Digitization on the Romanian Music Therapists -- New Laccase Portable Monitor -- Remote Microelectronics Experimentation based on VISIR Remote Laboratory: Expanding VISIR Functionalities -- Development Of a Simulator Tool For Teaching The Autonomous Vehicles Behavior -- Work in Progress: Hardware Design of a Smart Wristband Used for Epileptic Seizure Detection.
    Abstract: Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with Internet of Things & Industrial Internet of Things (Industry 4.0), Online & Biomedical Engineering, Data Science, Machine Learning, and Artificial Intelligence, Cross & Mixed Reality, and Remote Working Environments. to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. Consequently, the motto of this year’s REV2022 was “Artificial Intelligence and Online Engineering”. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber-Security, and M2M & Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.
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  • 41
    ISBN: 9783031160356
    Language: English
    Pages: 1 Online-Ressource(X, 135 p. 36 illus., 31 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 541
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications. This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to): Deep/Machine learning based models Statistical models and learning Data analysis, insights and hidden pattern Data visualisation Security threat detection Data classification and clustering Blockchain security and trust Blockchain data management.
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  • 42
    ISBN: 9783031131509
    Language: English
    Pages: 1 Online-Ressource(VIII, 580 p. 280 illus., 195 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 521
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Management. ; Engineering
    Abstract: LSTM Based Advanced Fake News detection -- Effect of Entrepreneurial Education on Entrepreneurial Intention: Mediating role of Entrepreneurs Personality Traits -- Dress Pattern Classification using ResNet based Convolutional Neural Networks -- Simulation of Internet of Things Network for Big Data Analytics -- An Empirical Review on Brain Tumor Classification Approaches -- An approach for Theft Detection and Alerting System.
    Abstract: This multidisciplinary book delves into information systems’ concepts, principles, methods and procedures and their innovative applications in management science and other domains, including business, industry, health care and education. It will be valuable to students, researchers, academicians, developers, policymakers and managers thriving to improve their information and management systems, develop new strategies to solve complex problems and implement novel techniques to utilise the massive data best. This book of Information Systems and Management Science (proceedings of ISMS 2021) is intended to be used as a reference by scholars, scientists and practitioners who collect scientific and technical contributions concerning models, tools, technologies and applications in the field of information systems and management science. This book shows how to exploit information systems in a technology-rich management field.
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  • 43
    ISBN: 9783031262814
    Language: English
    Pages: 1 Online-Ressource(XIII, 523 p. 221 illus., 150 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 161
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Data Integration in Practice: Academic Finance Analytics Case Study -- Proposal of an Aquarium Design Support Virtual Reality System -- The Source Code Maintenance Time Classifications from Code Smell -- Evolution Analysis of R&D Jobs Based on Patents’ Technology Efficacy Labeling -- The Model of Improving the Quality of Government Financial Reporting -- Fuzzy Mean Clustering Analysis Based on Glutamic Acid Fermentation Failure -- Mustahik Micro Business Incubation in Poverty Alleviation -- Schemes for a Transient Eddy-current Problem On an Unbounded Area -- Zakat Management Model Based on ICT -- Teaching Method of Advanced Mathematics combining PAD Classroom with ADDIE Model -- A Kind of Online Game Addictive Treatment Model about Young Person -- Research on E-commerce Customer Value Segmentation Model Based on Network Behavior -- Blockchain Applications for Mobility-as-a-Service Ecosystem: A Survey -- Construction of a Fully Homomorphic Encryption Scheme with Shorter Ciphertext and its Implementation on the CUDA Platform -- Traffic-oriented Shellcode Detection Based on VSM -- Supply Chain Finance Mediates The Effect of Trust and Commitment on Supply Chain Effectiveness.
    Abstract: This book presents original contributions to the theories and practices of emerging Internet, data, and web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and web technologies find this book useful and a reference for their activity.
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  • 44
    ISBN: 9783031175831
    Language: English
    Pages: 1 Online-Ressource(XII, 219 p. 88 illus., 55 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Learning and Analytics in Intelligent Systems 30
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Software engineering. ; Expert systems (Computer science). ; Engineering
    Abstract: Chapter 1: Proposal of a Middleware to Support Development of IoT Firmware Analysis Tools -- Chapter 2: Feature-Based Cloud Provisioning for Rehosting -- Chapter 3: Pattern to Improve Reusability of Numerical Simulation -- Chapter 4: SpiderTailed: A Tool for Detecting Presentation Failures Using Screenshots and DOM Extraction.
    Abstract: This book contains extended versions of the works and new research results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE2022 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it to be rescheduled as an online conference. JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence on Software Engineering. The 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022) was organized by the Department of Informatics of the University of Piraeus, Greece. This book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering. It is also valuable to general readers in the fields of artificial and computational intelligence and, more generally, computer science, wishing to learn more about the exciting field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each chapter helps readers to probe deeper into the application areas of interest to them.
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  • 45
    ISBN: 9783031212291
    Language: English
    Pages: 1 Online-Ressource(XVIII, 462 p. 131 illus., 99 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 595
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book constitutes the refereed proceedings of the 4th International Congress on Blockchain and Applications 2022, BLOCKCHAIN’22, held in L’Aquila, Italy, in July 2022. Among the scientific community, blockchain and artificial intelligence are a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and artificial intelligence should be used together. The 37 full papers presented in the main track were carefully reviewed and selected from more than 75 submissions. They contain the latest advances on blockchain and artificial intelligence and on their application domains, exploring innovative ideas, guidelines, theories, models, technologies, and tools and identifying critical issues and challenges that researchers and practitioners must deal with in the future research. The book also includes 3 papers from the WEB3-TRUST workshop and 2 papers from the Doctoral Consortium.
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  • 46
    ISBN: 9783031267833
    Language: English
    Pages: 1 Online-Ressource(IX, 548 p. 129 illus., 94 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 636
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computers and civilization. ; Computational intelligence. ; Engineering
    Abstract: The All-Human Space of Transformation: Technology and Culture -- Modern technologies for teaching languages and their role in the development of a global technogenic civilization -- The Four-Dimensionality of Utility as a Philosophic Category -- Working Knowledge: What Do I Know about How I do Something? -- Social Interaction with Non-Anthropomorphic Technology -- The necessity of forming multilingual competencies in the educational process digitalization -- Foreign Language Anxiety in Multilingual Students before and after Corona-Lockdown: A Comparative Analysis -- The Technologies of Higher Education Digitalization in Modern Conditions -- Checklist as a Working Tool for the Formation of Digital Literacy of BIM-specialists in the Multilingual World.
    Abstract: The book addresses the challenge of living in a multilingual world from three perspectives: socio-linguistics and the study of multilingualism in contrast, philosophy of technology with its emphasis on the world as a technosphere—how it is made, how it is experienced, and how it can be managed, and then pedagogy and the question of teaching and learning to competently negotiate multilingual environments. In today‘s multicultural and multilingual world, technologies provide a common ground. The story of the technosphere as a multilingual environment offers new perspective, namely that of learning to cooperate and coordinate.
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  • 47
    ISBN: 9783031211010
    Language: English
    Pages: 1 Online-Ressource(XV, 334 p. 131 illus., 106 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures 4
    Series Statement: Engineering cyber-physical systems and critical infrastructures
    Parallel Title: Erscheint auch als International Conference on Cybersecurity, Cybercrimes, and Smart Emerging Technologies (2022 : Riad) Advances in cybersecurity, cybercrimes, and smart emerging technologies
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Computer crimes. ; Engineering ; Konferenzschrift ; Computersicherheit ; Computerkriminalität ; Malware
    Abstract: Chapter 1: Malware Detection Using RGB Images and CNN Model Subclassing -- Chapter 2: IoT Trust Management as an SIoT Enabler Overcoming Security Issues -- Chapter 3: Cloud Virtualization Attacks and Mitigation Techniques -- Chapter 4: Android Ransomware Attacks Detection with Optimized Ensemble Learning -- Chapter 5: A Dual Attack Tree Approach to Assist Command and Control Server Analysis of the Red Teaming Activity -- Chapter 6: Intelligent Detection System for Spoofing and Jamming Attacks in UAVs.
    Abstract: This book gathers the proceedings of the International conference on Cybersecurity, Cybercrimes, and Smart Emerging Technologies, held on May 10–11, 2022, in Riyadh, Saudi Arabia. The conference organized by the College of Computer Science of Prince Sultan University, Saudi Arabia. This book provides an opportunity to account for state-of-the-art works, future trends impacting cybersecurity, cybercrimes, and smart emerging technologies, that concern to organizations and individuals, thus creating new research opportunities, focusing on elucidating the challenges, opportunities, and inter-dependencies that are just around the corner. This book is helpful for students and researchers as well as practitioners. CCSET 2022 was devoted to advances in cybersecurity, cybercime, and smart emerging technologies. It was considered a meeting point for researchers and practitioners to implement advanced information technologies into various industries. There were 89 paper submissions from 25 countries. Each submission was reviewed by at least three chairs or PC members and 26 regular papers (30%) were accepted. Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements.
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  • 48
    ISBN: 9783031303968
    Language: English
    Pages: 1 Online-Ressource(X, 179 p. 73 illus., 49 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 670
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Machine learning. ; Artificial intelligence. ; Robotics. ; Engineering
    Abstract: The book (proceedings of the 4th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2022) introduces key topics from artificial intelligence algorithms and programming organisations and explains how they contribute to health care, manufacturing, law, finance, retail, real estate, accountancy, digital marketing, and various other fields. Although artificial intelligence (AI) has generated a lot of hype over the past ten years, these consequences on how we live, work, and play are still in their infancy and will likely have a significant impact in the future. The supremacy of AI in areas like speech and picture recognition, navigational apps, personal assistants for smartphones, ride-sharing apps, and many other areas is already well established. The book is primarily meant for academics, researchers, and engineers who want to employ AI applications to address real-world issues. The authors hope that businesses and technology creators will also find it appealing to utilise in industry. .
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  • 49
    ISBN: 9783031168659
    Language: English
    Pages: 1 Online-Ressource(XVI, 770 p. 162 illus., 101 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 550
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: This book sheds light on the fundamental and innovative topics in information systems and their societal impact on individuals and organizations. It mainly focuses on the role of artificial intelligence in organizations, human-computer interaction, IS in education and industry, and IS security, privacy, and trust. The outcomes are expected to assist the decision-makers in formulating the required policies and procedures for using cutting-edge technologies.
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  • 50
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031294891
    Language: English
    Pages: 1 Online-Ressource(XIII, 341 p. 29 illus., 7 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 124
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Industrial Management. ; Econometrics. ; Engineering
    Abstract: Technological and Institutional Framework for the Dissemination and Use of Big Data -- Big Data for the Digital Economy -- Application of Big Data in Digital Business by Sectors -- Cooperative Mechanism for the Dissemination and Use of Big Data in the Information Society -- Case Study on the Application of Big Data in the Digital Economy of the Eurasian Economic Union.
    Abstract: This book redefines the essence of the information society and the digital economy, offering a new approach to their management and organization based on big data. The novelty of the new approach is that it ensures the use of the advanced technological capabilities of the Fourth Industrial Revolution to accelerate socio-economic development. The success of the new approach is based on progressive social institutions and advanced big data technology. Theoretical issues, methodological developments, and the author’s applied recommendations are consistently presented in forty chapters distributed in five sections. The book contains cases that reveal the practical experience of the Eurasian Economic Union (EAEU). The intended readership of the book is scientists. The book is interesting and useful for them because it presents an innovative model of information society and digital economy development driven by big data. .
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  • 51
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031332586
    Language: English
    Pages: 1 Online-Ressource(XII, 662 p. 221 illus., 170 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 691
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Application software. ; Engineering
    Abstract: This book is composed by the papers written in English and accepted for presentation and discussion at The 2023 International Conference on Information Technology & Systems (ICITS'23), held at Universidad Nacional de San Antonio Abad del Cusco, in Cusco, Peru, between the 24th and the 26th of April 2023. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modelling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication. .
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  • 52
    ISBN: 9783031097539
    Language: English
    Pages: 1 Online-Ressource(XLI, 790 p. 351 illus., 287 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Engineering Cyber-Physical Systems and Critical Infrastructures volume 1
    Series Statement: Engineering cyber-physical systems and critical infrastructures
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
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  • 53
    ISBN: 9783031168321
    Language: English
    Pages: 1 Online-Ressource(VI, 209 p. 96 illus., 70 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1069
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup -- Metaheuristic algorithms in IoT: Optimized Edge Node Localization -- Jaya algorithm versus differential evolution: a comparative case study on optic disc localization in eye fundus images -- Minimum transmission power control for the Internet of Things with swarm intelligence algorithms -- An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System -- A meta-heuristic algorithm based on the happiness model -- Application of Metaheuristic Techniques for Enhancing the Financial Profitability of Wind Power Generation Systems -- Optimization of Demand Response -- Fitting curves of ruminal degradation using a metaheuristic approach -- Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques -- Multi-Circle Detection Using Multimodal Optimization.
    Abstract: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.
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  • 54
    ISBN: 9783031286940
    Language: English
    Pages: 1 Online-Ressource(XXX, 683 p. 324 illus., 264 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 655
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
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  • 55
    ISBN: 9783031284519
    Language: English
    Pages: 1 Online-Ressource(XXIX, 575 p. 216 illus., 175 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 654
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
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  • 56
    ISBN: 9783031313462
    Language: English
    Pages: 1 Online-Ressource(IX, 390 p. 91 illus., 69 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 688
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering mathematics. ; Engineering
    Abstract: This book includes selecting the articles accepted for presentation and discussion at WCQR2023, held from January 25 to 27, 2023 (face to face and virtual conference). The World Conference on Qualitative Research (WCQR) is an annual event that aims to bring together researchers, academics and professionals, promoting the sharing and discussing knowledge, new perspectives, experiences and innovations in qualitative research. WCQR2023 featured four main application fields (education, health, social sciences and engineering/technology) and seven main subjects: rationale and paradigms of qualitative research; systematization of approaches with qualitative studies; qualitative and mixed methods research; data analysis types; innovative processes of qualitative data analysis; qualitative research in web context; and qualitative analysis with software support. The book is valuable for everyone interested in qualitative research, emphasizing Computer-Assisted Qualitative Data Analysis Software (CAQDAS).
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  • 57
    ISBN: 9783031266331
    Language: English
    Pages: 1 Online-Ressource(X, 316 p. 64 illus., 40 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 162
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Cooperating objects (Computer systems). ; Computational intelligence. ; Big data. ; Artificial intelligence. ; Internet programming. ; Engineering
    Abstract: Serverless Computing: New Trends and Future Directions -- Punching Holes in the Cloud: Direct Communication Between Serverless Functions -- Hybrid Serverless Computing: Opportunities and Challenges -- A Taxonomy of Performance Forecasting Systems in the Serverless Cloud Computing Environments -- Open-Source Serverless for Edge Computing: A Tutorial -- Accelerating and Scaling Data Products With Serverless -- QoS Analysis for Serverless Computing using Machine Learning -- A Blockchain-Enabled Serverless Approach for IoT Healthcare Applications -- Cost Control and Efficiency Optimization in Maintainability Implementation of Wireless Sensor Networks based on Serverless Computing -- Scheduling Mechanisms in Serverless Computing -- Serverless Cloud Computing: State of the Art and Challenges.
    Abstract: This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services.
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  • 58
    ISBN: 9783031266515
    Language: English
    Pages: 1 Online-Ressource(XII, 231 p. 66 illus., 37 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1091
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Engineering
    Abstract: Natural Language Processing for Requirements Formalization: How to Derive New Approaches? -- Left Recursion by Recursive Ascent -- An Example of Computation in Interactive Granular Computing -- Extended Future in Testing Semantics for Time Petri Nets -- Toward Recommender Systems Scalability and Efficacy.
    Abstract: This book presents novel approaches to the formal specification of concurrent and parallel systems, mathematical models for describing such systems, and programming and verification concepts for their implementation. A special emphasis is on methods based on artificial intelligence and machine learning techniques. Chapters are revised selected papers from the 29th International Workshop on Concurrency, Specification, and Programming (CS&P 2021), Berlin, Germany. Nine independent chapters cover formal approaches to topics such as requirements formalization, parsing, or granular computing, as well as their applications in recommender systems, decision making, security, optimization, and other areas. The book thus addresses both researchers and practitioners in its field.
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  • 59
    ISBN: 9783030856267
    Language: English
    Pages: 1 Online-Ressource(XVIII, 954 p. 287 illus., 167 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 307
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: Fuzzy Clustering -- A Digital Twin-based Approach for the Fault Diagnosis of a Bearing -- Fuzzy Cluster analysis of Claustrophobia questionnaire data in Iranian male and female educated populations -- Data Driven Approach to Order Picking Time Prediction Using Fuzzy Clustering and ANN -- A Comparative Analysis of Fuzzy C-Means, K-Means, and K-Medoids Clustering Algorithms for Analysis Countries’ COVID-19 Risk -- Text Segmentation Using Light Syntax Parsing and Fuzzy Systems -- A Neighborhood Merging Policy Based on Shannon’s Entropy and Symmetric Relative Entropy for Non-Convex Cluster Detection.
    Abstract: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
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  • 60
    ISBN: 9783030772147
    Language: English
    Pages: 1 Online-Ressource(XIII, 227 p. 85 illus., 62 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 92
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Electrical engineering. ; Energy systems.
    Abstract: An Overview of Artificial Intelligence Technology Directed at Smart Sensors and Devices from a Modern Perspective -- The Role of Smart Sensors in Smart City -- Impact of AI and Machine Learning in Smart Sensor Networks For Health Care -- ML Algorithms for Smart Sensor Networks -- Energy efficient smart lighting system for rooms -- QUIC Protocol Based Monitoring Probes for Network Devices Monitor & Alerts -- External Threat Detection in Smart Sensor Networks using Machine Learning Approach -- Towards Smart Farming Through Machine Learning-based Automatic Irrigation Planning -- Graph Powered Machine Learning in Smart Sensor Networks. .
    Abstract: This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.
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  • 61
    ISBN: 9783030894771
    Language: English
    Pages: 1 Online-Ressource(XX, 1136 p. 273 illus., 186 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 342
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing.
    Abstract: This book comprises the proceedings of the International Perm Forum “Science and Global Challenges of the 21st Century” held on October 18th – 23rd, 2021, at Perm State University, Perm, Russia. Global challenges, which determine the main trends in the development of social and economic life in the XXI century, require the integration of specialists in various fields of knowledge. That is why the main principle of this edition is interdisciplinarity, the formation of end-to-end innovation chains, including fundamental and applied research, and the wide application of smart innovations, networks, and information technologies. The authors seek to find synergy between technologies and such fields as computer science, geosciences, biology, linguistics, social studies, historical studies, and economics. The book is of interest to researchers seeking nontrivial solutions at the interface of sciences, digital humanities, computational linguistics, cognitive studies, machine learning, and others.
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  • 62
    ISBN: 9783030853655
    Language: English
    Pages: 1 Online-Ressource(XI, 232 p. 107 illus., 80 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 249
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence. ; Engineering—Data processing. ; Robotics. ; Automation.
    Abstract: Deep Learning Based Classification System For Recognizing Local Spinach -- Fusion of Deep Learning Features for Wild Animal Detection -- Forecast Extreme CPU Usages under Peak Load using envelop EM Semi-Supervised Learning -- Classifying Case Facts and Predicting Legal Decisions of The Indian Central Information Commission: A Natural Language Processing approach -- On the implementation of a semantic model for intelligent vehicle navigation -- Twenty Years Of Assessment Of Drought Conditions Over The Gangapur Region Of Aurangabad District In Maharashtra (India)Using Remote Sensing Indices -- Educational Resources Recommender System for Teachers: Why and How? -- Hybrid Cloud Native Framework for Smart City Applications -- A Two-Stage Intrusion Detection System (TIDS) for Internet of Things -- Breast Cancer Detection Using Deep Convolutionnal Neural Networks And Raspberry Pi 3 Board -- An Improved Approach for Removal of Salt & Pepper Noise in MR Images -- Dual-Pathway Deep CNN for Offline Writer Identification -- Real-time Urban Traffic Control of a complex junction -- A Multi-Agent System for Industrial Simulators Design -- Comparison of Current Convolutional Neural Network Architectures for Classification of Damaged and Undamaged Cars -- Intelligent agents for Multi-user Preference Elicitation -- Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks -- Robust Model for Rural Education using Deep Learning and Robotics -- Action Recognition for Anomaly Detection using Transfer Learning and Deep Architectures -- Personalised federated learning with BERT fine tuning. Case study on Twitter sentiment analysis -- Use of Artificial Intelligence in Human Resource Management: “Application of Machine Learning Algorithms to an intelligent Recruitment system” -- Combining Active Semi-supervised Learning and Rare Category Detection.
    Abstract: This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. The research and reports of new technologies and applications in DL, AI and robotics like biometric recognition systems, medical diagnosis, industries, telecommunications, AI petri nets model-based diagnosis, gaming, stock trading, intelligent aerospace systems, robot control and web intelligence aim to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence.
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  • 63
    ISBN: 9783030822194
    Language: English
    Pages: 1 Online-Ressource(VIII, 127 p. 64 illus., 44 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Biomedical engineering. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.
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  • 64
    ISBN: 9783030766535
    Language: English
    Pages: 1 Online-Ressource(XVI, 461 p. 219 illus., 143 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 210
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: IoT for better Mobile Health Applications -- Energy Efficient hybrid IoT System for ambient Living: Smart Geyser -- Analysis of Agriculture Production and Impacts of Climate Change in South Asian Region: A Concern related with Healthcare 4.0 Using ML and Sensors -- Block Chain Application in Automobile Registration: A novel Approach for Sustainable Smart Cities with Industry 4.0 -- Nonparametric Test for Change-Point Detection of IoT Time-Series Data. .
    Abstract: This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.
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  • 65
    ISBN: 9783030895082
    Language: English
    Pages: 1 Online-Ressource(XXI, 1154 p. 337 illus., 190 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 97
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Application of Artificial Intelligence in Arrangement Creation -- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++ -- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition -- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development -- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures -- Application of Artificial Intelligence Technology in English Online Learning Platform -- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine -- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era -- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field -- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology -- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- Application of 3D Computer Aided System in Dance Creation and Learning -- Data Selection and Machine Learning Algorithm Application under the Background of Big Data. .
    Abstract: This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
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  • 66
    ISBN: 9783030895112
    Language: English
    Pages: 1 Online-Ressource(XX, 986 p. 280 illus., 190 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 98
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining -- Analysis of Smart City Construction Based on 5G Data Technology -- Prediction of Stock Price Based on Artificial Intelligence Algorithm -- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining -- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars -- Computer Graphics and Image Software in Advertising Design -- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises -- Impact of Computer Network Technology on Regional Economic Development -- Chaos Algorithm of Electrical Control System Based on Neural Network Technology -- Pulse Signal Acquisition System Based on Match Pursuit Algorithm -- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm -- Reactive Optimization of Power System Based on K-means Algorithm -- Design and Structure Analysis of Manipulator based on Acceleration Sensor -- Discussion on Decision Tree Algorithm in University Teaching Management System. .
    Abstract: This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
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  • 67
    ISBN: 9783030797287
    Language: English
    Pages: 1 Online-Ressource(XXVII, 521 p. 226 illus., 152 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 279
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: This book includes proceedings of the 15th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2021), which took place in Asan, Korea, on July 1-3, 2021. With the proliferation of wireless technologies and electronic devices, there is a fast-growing interest in Ubiquitous and Pervasive Computing (UPC). The UPC enables to create a human-oriented computing environment where computer chips are embedded in everyday objects and interact with physical world. Through UPC, people can get online even while moving around, thus, having almost permanent access to their preferred services. With a great potential to revolutionize our lives, UPC also poses new research challenges. The aim of the book is to provide the latest research findings, methods, development techniques, challenges, and solutions from both theoretical and practical perspectives related to UPC with an emphasis on innovative, mobile, and Internet services.
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  • 68
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030913946
    Language: English
    Pages: 1 Online-Ressource(X, 141 p. 13 illus., 10 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 216
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Cooperating objects (Computer systems). ; Artificial intelligence.
    Abstract: 1. Use of Extended Reality in Medicine during the Covid-19 pandemic -- XR based remote learning experience during pandemic: Effectiveness and Barriers -- How virtual and augmented reality are reshaping the fashion industry during the Covid-19 Pandemic.
    Abstract: This book explores the benefits to online teaching incorporating extended reality technologies both from a teacher’s and from a students’ perspective. As we are all aware, the COVID-19 pandemic has created a worldwide lock down which is clearly visible in individuals’ shifting behaviour as they are keeping away from public contact, large events, weddings, places of worship, public transportation, restaurant, flights, shopping malls, etc. People across the world have adopted to Work From Home (WFH) concept using digital technology. They are teaching, learning, conducting meetings, seminars, etc., using digital medium. As people were not allowed to go out and buy things, online shopping was in demand and extensible reality helped in marketing the products and customers could also have a better shopping experience. Gaming industry has always brought in many new games for children and adults. Healthcare sector also leveraged the benefits of this technology to the fullest extent. The use of augmented and virtual reality in art and museum is also highlighted. Our book presents the different sectors that have benefitted using this technology during this time of crisis. This book will be very useful for students, professionals and researchers working in the area of virtual, augmented or mixed reality. Our aim is to bring out the use of this technology during the COVID-19 pandemic so that the readers are exposed to the various applications of this technology.
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  • 69
    ISBN: 9783030959036
    Language: English
    Pages: 1 Online-Ressource(XXI, 460 p. 235 illus., 168 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 118
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data.
    Abstract: Service Platform for Social and Community to Drive the Royal Project Foundation -- Implementation of a Local-community Issues Visualization System using Open Data and Future Population Projection -- SAE+Bi-GRU Based Security Situation Prediction for Smart Grid -- Design of Identity Authentication Scheme for Dynamic Service Command System Based on SM2 Algorithm and Blockchain Technology -- Visual Authentication Codes Generated Using Predictive Intelligence -- Reliable Network Design Problem by Improving Node Reliability -- Toward Secure K-means Clustering Based on Homomorphic Encryption in Cloud -- On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage -- On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage -- Community Division Algorithm Based on Node Similarity and Multi-Attribute Fusion -- Research on TCM Patent Annotation to Support Medicine R&D and Patent Acquisition Decision-Making -- Research on TCM Patent Annotation to Support Medicine R&D and Patent Acquisition Decision-Making -- Blockchain for Islamic HRM: Potentials and Challenges on Psychological Work Contract -- Blockchain for Islamic HRM: Potentials and Challenges on Psychological Work Contract.
    Abstract: This book presents original contributions to the theories and practices of emerging Internet, data, and Web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and Web technologies are two most prominent paradigms, in a variety of forms such as Data Centers, Cloud Computing, Mobile Cloud, Mobile Web Services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and Web technologies find this book useful and a reference for their activity.
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  • 70
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030934538
    Language: English
    Pages: 1 Online-Ressource(XV, 372 p. 115 illus., 86 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 109
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Data protection. ; Artificial intelligence.
    Abstract: A Practical Experience Applying Security Audit Techniques in an Industrial Healthcare System -- Feature Extraction and Artificial Intelligence-Based Intrusion Detection Model for a Secure Internet of Things Networks -- Intrusion Detection using Anomaly Detection Algorithm and Snort -- Research Perspective on Digital Forensic Tools and Investigation Process -- Intelligent Authentication Framework for Internet of Medical Things (IoMT) -- Parallel Faces Recognition Attendance System with Anti-spoofing using Convolutional Neural Network -- A Systematic Literature Review on Face Morphing Attack Detection (MAD) -- Averaging Dimensionality Reduction and Feature Level Fusion for Post-Processed Morphed Face Image Attack Detection -- A Systematic Literature Review on Forensics in Cloud, IoT, AI & Blockchain -- Predictive Forensic Based - Characterization of Hidden Elements in Criminal Networks using Baum-Welch Optimization Technique -- An Integrated IDS using ICA-based Feature Selection and SVM Classification Method -- A Binary Firefly Algorithm Based Feature Selection Method on High Dimensional Intrusion Detection Data -- Graphical Based Authentication Method Combined with City Block Distance for Electronic Payment System -- Authenticated Encryption to Prevent Cyberattacks in images -- Machine Learning in Automated Detection of Ransomware: Scope, Benefits and Challenges.
    Abstract: This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum–Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.
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  • 71
    ISBN: 9783030951610
    Language: English
    Pages: 1 Online-Ressource(XIV, 305 p. 46 illus., 10 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 115
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Data protection. ; Big data. ; Artificial intelligence.
    Abstract: Methods for Privacy Support in the Decentralized Environment -- Application of Bluetooth, Wi-Fi and Gps Technologies in the means of Contact Tracking -- Analysis and Research of Threat, Attacker and Security Models of Data Depersonalization in Decentralized Networks -- Cryptographic Transformations in a Decentralized Blockchain Environment -- Statistical and Signature Analysis Methods of Intrusion Detection -- Criteria and Indicators of Efficiency of Cryptographic Protection Mechanisms -- Methods of Evaluation and Comparative Research of Cryptographic Conversions -- Cryptographic Mechanisms that Ensure the Efficiency of SNARK-Systems -- Comparative Analysis of Consensus Algorithms that use a Directed Acyclic Graph Instead of a Blockchain, and Construction of Estimates of the SPECTRE Protocol Security to the Double Spend Attack -- Models and Methods of Secure Routing and Load Balancing in Infocommunication Networks -- The Methods of Data Comparison in Residue Numeral System -- Data Control in the System of Residual Classes -- Traffic Monitoring and Abnormality Detection Methods for Decentralized Distributed Networks.
    Abstract: The authors explore various aspects of information processing for the design of service systems, efficient management, secure storage, and transmission. In addition, the subline provides knowledge and practice in decentralized ICT technologies, including those based on blockchain. The aim of this book is to analyze and develop methods of building decentralized private databases without the presence of a trusted party, methods of data processing in encrypted form to ensure the confidentiality of information, and accessibility of the corresponding fragment of the original or transformed data. In this book it is also relevant to research methods and protocols routing in infocommunication networks, which provides load balancing in the network, and analysis of intrusion detection methods based on analysis of signatures and anomalies in network behavior (state changes) based on machine learning and fractal analysis methods.
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  • 72
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030965464
    Language: English
    Pages: 1 Online-Ressource(V, 171 p. 67 illus., 24 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 425
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Control engineering. ; Computational intelligence.
    Abstract: Self-healing Systems Monitoring -- Self-healing Systems Modelling -- Methods to Manage Data in Self-healing Systems.
    Abstract: This book presents the systematized research, development and improvement of methods in self-healing communication and control systems. The book presents new models and methods of data processing, focused on the specifics of self-healing systems. The goal is to equip the reader with the necessary knowledge about trends in monitoring and detecting failures, modelling processes and methods of data processing in self-healing communication and control systems.
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  • 73
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030900045
    Language: English
    Pages: 1 Online-Ressource(IX, 142 p. 5 illus., 3 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 996
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Biomedical engineering. ; Biomechanics. ; Physiology. ; Artificial intelligence.
    Abstract: Introduction -- Face Movement -- Eye Movement -- Hand Movements Using Keyboard and Mouse -- Leg and Foot Movement -- Whole-body Movement -- Movement in Virtual Reality -- Movement in the Environment -- Perception of Movement -- Movement, Cognition and Learning -- Future Directions.
    Abstract: This book discusses human–computer interaction (HCI) which is a multidisciplinary field of study which aims at developing and implementing tools and techniques to attain an effective and efficient interaction between the humans (the users) and computers. In recent years, there is an increase of interest of HCI researchers and practitioners in the inclusion of gaze gestures which can greatly enhance the communication between the human user and the computer, as well as other more “physical” communication involving all what can be learned from movements of the human body, from face, hand, leg, foot, etc., to the whole body movement, even extending to the involvement of groups of agents, even society. These explicitly human-centric issues in the development, design, analysis, and implementation of the HCI systems are discussed in the book. A comprehensive state of the art is given complemented with original own proposals. As opposed to more traditional formal and IT based analyses, the discussion is here more focused on relevant research results from psychology and psychophysiology, and other soft, cognitive, etc., sciences. Remarks on the relevance of affective computing are also mentioned.
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  • 74
    ISBN: 9783030930806
    Language: English
    Pages: 1 Online-Ressource(XIX, 331 p. 87 illus., 63 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1013
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: Digital Technologies for Clinical, Public and Global Health Surveillance -- Imputing Fine-grain Patterns of Mental Health with Statistical Modelling of Online Data -- Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizo-phrenia.-A Prognostic Tool to Identify Youth at Risk of at Least Weekly Cannabis Use -- Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Pro-grammed Deep Kernels.-Self-Disclosure in Opioid Use Recovery Forums -- Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging -- Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies -- Machine Learning Identification of Self-Reported COVID-19 Symptoms from Tweets in Canada -- RRISK: Analyzing COVID-19 Risk in Food Establishments -- AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature -- Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis -- The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance -- Interpretable Classification of Human Exercise Videos through Pose Esti-mation and Multivariate Time Series Analysis -- Interpreting Deep Neural Networks for Medical Imaging using Concept Graphs -- Do Deep Neural Networks Forget Facial Action Units? - Exploring the Ef-fects of Transfer Learning in Health Related Facial Expression Recognition -- Utilizing Predictive Analysis to Aid Emergency Medical Services -- Measuring Physiological Markers of Stress During Conversational Agent Interactions -- EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events -- Predicting Patient Outcomes with Graph Representation Learning -- Patient-Specific Seizure Prediction Using Single Seizure Electroenceph-alography Recording -- Evaluation Metrics for Deep Learning Imputation Models -- Logistic Regression Is Also A Black Box. Machine Learning Can Help.
    Abstract: This book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance. The edited book contains selected papers presented at the 2021 Health Intelligence workshop, co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. While disease surveillance has always been a crucial process, the recent global health crisis caused by COVID-19 has once again highlighted our dependence on intelligent surveillance infrastructures that provide support for making sound and timely decisions. This book provides information for researchers, students, industry professionals, and public health agencies interested in the applications of AI in population health and personalized medicine.
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  • 75
    ISBN: 9783030900878
    Language: English
    Pages: 1 Online-Ressource(XIII, 435 p. 156 illus., 135 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1001
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Social media. ; Artificial intelligence. ; Engineering—Data processing. ; Big data.
    Abstract: Part I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machine Learning Techniques and Fake News -- Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches -- Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media -- Fake News Detection using Machine Learning and Natural Language Processing -- Fake News Detection using Ensemble Learning and Machine Learning Algorithms -- Evaluation of Machine Learning Methods for Fake News Detection -- Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering -- Deep Learning with Self-Attention Mechanism for Fake News Detection -- Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection -- Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches.
    Abstract: This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
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  • 76
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030936778
    Language: English
    Pages: 1 Online-Ressource(XII, 607 p. 157 illus., 117 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 381
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence.
    Abstract: The Hexadecimal Factory - Product and Service Design Work in the Digital Economy -- The role of controlling in increasing labor productivity during the digital transformation -- Implementation of innovative technologies and directions of digitalization of the gas transportation sector -- Assessment of the level of digital maturity of sectors of the Russian economy -- Digitalization and modernization of the industrial production management system based on lean-green approach -- Investigating the Use of Learning Analytics at South Africa's Higher Education Institutions -- Relationship between teaching practice and students' understanding - interpretation -- Using Merrill's First Principles of Instruction to reshape the assessments structure of a fundamental first-year course -- From learning styles to multiple modalities in the teaching of computer and information literacy to first year students from diverse backgrounds -- Teaching, assessing and promoting lifelong learning - a case of first year university students, in a developing country during a Pandemic -- World Heritage on institutional pages, personal pages and blogs -- Eradicating Terrorist Networks on Social Media: Case Studies of Indonesia -- Problems and negative consequences of the digitalization of medicine -- Management of the Flow of Patients in a Modern Medical Organization -- Influence of the Income Level of the Working-age Population on the Mortality Rate from Alcohol-related Causes -- Analysis Website Quality Official Government Tweet Accounts to Campaign for Tourism Sites in the Lampung Area -- Improving the efficiency of the pension system in the digital economy -- Cyberattacks on Business website: Case Study -- Concepts of improving fuzzy and neural network methods for simulating bankruptcy in risk management by the bank's loan portfolio -- Studying the attack detection problem using the dataset CIDDS-001 -- Cognitive Screening Instruments for Community-Dwelling Older Adults: A Mapping Review -- New processor architecture and its use in mobile application development -- Constructing a model of the main highway of cybersecurity policy in a digital society based on multi-level analysis -- Covid-19 Pandemic and Disruptive Technologies Across Scientific Areas: A Bibliometric Review -- Bibliometric Research in the Field of Mercantilism and Cameralism of Peter I -- In search of insight from unstructured text data: -- Towards an identification of text mining techniques.
    Abstract: This book gathers selected papers that were submitted to the 2021 International Conference on Digital Science (DSIC 2021) that aims to make available the discussion and the publication of papers on all aspects of single and multidisciplinary research on conference topics. DSIC 2021 was held on October 15–17, 2021. An important characteristic feature of conference is the short publication time and worldwide distribution. Written by respected researchers, the book covers a range of innovative topics related to: digital economics; digital education; digital engineering; digital environmental sciences; digital finance, business and banking; digital health care, hospitals and rehabilitation; digital media; digital medicine, pharma and public health; digital public administration; digital technology and applied sciences. This book may be used for private and professional non-commercial research and classroom use (e.g., sharing the contribution by mail or in hard copy form with research colleagues for their professional non-commercial research and classroom use); for use in presentations or handouts for any level students, researchers, etc.; for the further development of authors’ scientific career (e.g., by citing, and attaching contributions to job or grant application).
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  • 77
    ISBN: 9783030937874
    Language: English
    Pages: 1 Online-Ressource(XII, 301 p. 102 illus., 66 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 388
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Econometrics. ; Operations research. ; Management science. ; Game theory. ; Industrial Management.
    Abstract: Preface -- Honorary Committe -- Scientific Committe -- Organizing Committe -- Uncertainty characterizations, typologies and related notions in times of change -- Mexico and the challenges of achieving the 2030 Sustainable Development Goals -- Leadership and employees’ satisfaction in contemporary organizations -- Design of an Employer Branding model -- Investment evaluation proposal with fuzzy tools. Case Molecular Immunology Center -- Performance Evaluation Procedure based on Fuzzy Mathematics and OWA Operators. -- The fit between corporate entrepreneurship and innovation in the organizational performance through SHRM -- Procedure for the selection of international markets. Application in the Cement Business Group of Cuba -- Customer satisfaction at the Roc Presidente Hotel -- The Internationalization in The Learning of The Accounting Profession. Use of The Kahoot As A Teaching Tool for Learning -- An input of fuzzy logic to sustainable tourism: a case from Brazil -- A bibliometric study of key journals in corporate social responsibility -- A bibliometric review of decision models in uncertainty between 1990 and 2018 -- Data Driven Business Model: A Strategy for Transparency in the Sharing Economy. A bibliometric overview -- Application of the Forgotten Effects Theory to the Qualitative Analysis of the Operational Risk Events -- Business Informality: An Application of the Forgotten Effects Model -- Adaptation of grocery stores to the post-COVID-19 environment. The case of Barcelona -- Author Index.
    Abstract: This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.
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  • 78
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030954192
    Language: English
    Pages: 1 Online-Ressource(X, 349 p. 156 illus., 122 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 105
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Cooperating objects (Computer systems). ; Computational intelligence. ; Big data.
    Abstract: ShareCert: Sharing and Authenticating Certificates and Credentials on Blockchain -- Prospects of Semantic Web and Blockchain technologies in Libraries -- Scalability Analysis of Proof-of-Work based Blockchain -- Smart Contract: A Way to Modern Digital World -- Decentralized Public Distribution System on the Ethereum Blockchain interact with MyEtherWallet.
    Abstract: This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.
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  • 79
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030966447
    Language: English
    Pages: 1 Online-Ressource(VII, 165 p. 64 illus., 21 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 220
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Machine learning. ; Computational intelligence. ; Artificial intelligence.
    Abstract: This book focuses on research and development aspects of building data analytics workflows that address various challenges of e-learning applications. This book represents a guideline for building a data analysis workflow from scratch. Each chapter presents a step of the entire workflow, starting from an available dataset and continuing with building interpretable models, enhancing models, and tackling aspects of evaluating engagement and usability. The related work shows that many papers have focused on machine learning usage and advancement within e-learning systems. However, limited discussions have been found on presenting a detailed complete roadmap from the raw dataset up to the engagement and usability issues. Practical examples and guidelines are provided for designing and implementing new algorithms that address specific problems or functionalities. This roadmap represents a potential resource for various advances of researchers and practitioners in educational data mining and learning analytics.
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  • 80
    ISBN: 9783030961473
    Language: English
    Pages: 1 Online-Ressource(XVIII, 312 p. 137 illus., 125 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 407
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: This book constitutes the proceedings of the 3rd International Conference on Advances in Emerging Trends and Technologies (ICAETT 2021), held in Riobamba, Ecuador, on November 10–12, 2021, proudly organized by Facultad de Informática y Electrónica (FIE) at Escuela Superior Politécnica de Chimborazo and supported by GDEON. ICAETT 2021 brings together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topic e-Business e-Learning Intelligent systems Machine vision Security Technology trends .
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  • 81
    ISBN: 9783030913908
    Language: English
    Pages: 1 Online-Ressource(XIV, 355 p. 145 illus., 132 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 217
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning. ; Engineering—Data processing.
    Abstract: An Introduction to Generative Adversarial Learning: Architectures and Applications -- Generative Adversarial Networks: A Survey on Training, Variants, and Applications -- Fair Data Generation and Machine Learning through Generative Adversarial Networks.
    Abstract: This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.
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  • 82
    ISBN: 9783030985318
    Language: English
    Pages: 1 Online-Ressource(VI, 184 p. 82 illus., 53 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 441
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence. ; Robotics. ; Engineering—Data processing.
    Abstract: This book presents new technologies and applications in deep learning, artificial intelligence and robotics. The field of machine intelligence (MI), unifying robotics and artificial intelligence is experiencing constant growth and change. The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc. This book Progresses in Artificial Intelligence & Robotics : Algorithms & Applications (proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2021 ) introduces key topics from artificial intelligence algorithms and programming organization and explains how they contribute to autonomous capabilities. The book is primarily intended for researchers, students, and engineers who wish to use the applications of artificial intelligence to solve concrete problems. We hope that companies and technology developers also find it interesting to be used in industry.
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  • 83
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030961770
    Language: English
    Pages: 1 Online-Ressource(XI, 75 p. 29 illus.)
    Edition: 1st ed. 2022.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Engineering—Data processing. ; Computational intelligence.
    Abstract: 1. Failure of control -- 2 Failure of institutional cognition I -- 3 Failure of institutional cognition II -- 4 The ‘Self-Maskirovka’ of military scientism -- 5 Extending the models.
    Abstract: This book explores the role of deception, delay, and self-deception in the dynamics of organized conflict, taking a formal approach that hews closely to the asymptotic limit theorems of information and control theories. The resulting probability models can, with some effort—and some confidence—be converted to statistical tools for the analysis of real-time observational and ‘experimental’ data on institutionalized confrontation across both traditional and emerging ‘Clausewitz Landscapes’.
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  • 84
    ISBN: 9783030971021
    Language: English
    Pages: 1 Online-Ressource(XLII, 234 p. 167 illus., 150 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 422
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Engineering mathematics. ; Engineering—Data processing. ; Computational intelligence.
    Abstract: Introduction -- Basic L1 Adaptive Controller: A State Of The Art Study -- Hybrid L1 Adaptive Controller- I: Stochastic Optimization & Metaheuristics Based Approach -- Hybrid L1 Adaptive Controller- II: Fuzzy Parallel Distributed Compensation Based Approach -- Speed Control Of Electrical Actuator -- Angular Position Control Of Two Link Robot Manipulator -- Temperature Control Of Air Heater System -- Future Research Directions Of Hybrid Controller.
    Abstract: This book details the designing of hybrid control strategies for practical systems containing time varying uncertainties, disturbances, nonlinearities, unknown parameters, unmodelled dynamics, delays, etc., concurrently. In this book, the advantages of different controllers will be brought together to produce superior control performance for the practical systems. Being aware of the advantages of adaptive controller to tackle unknown constant, time varying uncertainties and time varying disturbances, a variant of adaptive controller, namely L1 adaptive controller, is hybridized with other strategies. In this book, to facilitate optimal parameter setting of the basic L1 adaptive controller, stochastic optimization technique will be hybridized with it. The stability of the optimization technique along with the controller will be guaranteed analytically with the help of spectral radius convergence. The proposed method exhibits satisfactory exploration and exploitation capabilities. Again, this book will throw light on tackling nonlinearities along with uncertainties and disturbances by hybridizing fuzzy logic with L1 adaptive controller. The performances of the designed controllers will be compared with different control methodologies to validate their effectiveness. The overall stability of the nonlinear system with the designed controller will be guaranteed with the help of fuzzy Lyapunov function to retain the zonal behaviour of the system. This fuzzy PDC-L1 adaptive controller is efficient to tackle nonlinearities and at the same time cancels unknown constant, time varying uncertainties and time varying disturbances adequately. This book will also contain four simulation case studies to validate fruitfulness of the designed controllers. To demonstrate the superior control ability of these controllers in tackling practical system, three experimental case studies will also be provided.
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  • 85
    ISBN: 9783031046131
    Language: English
    Pages: 1 Online-Ressource(X, 364 p. 168 illus., 69 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 133
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Quantitative research. ; Quantum computers.
    Abstract: Quantum Technologies I: Information, Communication, and Computation -- Quantum Technologies II : Cryptography, Blockchains, and Sensing -- Empirical Analysis of Security Enabled Quantum Computing for Cloud Environment -- Photonic Quantum Computing -- A Conceptual Framework for Scaling and Security in Serverless Environments using Blockchain and Quantum Key Distribution -- Implications of Quantum Science on Industry 4.0: Challenges and Opportunities -- Quantum Generative Modelling and its Use Cases -- A comprehensive overview of Quantum Internet: Architecture, Protocol and Challenges -- Quantum Solutions to Possible Challenges of Blockchain Technology -- Blockchain, AI, Machine Learning, IOT for Supply chain Management -- Quantum Computing and Quantum Blockchain: Recent Advancements, Analysis and Future Directions -- Secure Blockchain-based Mental Healthcare Framework: - A Paradigm Shift from Traditional to Advanced Analytics.
    Abstract: This book states that blockchain technology provides a secure distributed, peer-to-peer, and decentralized network with advanced cryptography primitives and protocols. The important question that arises in the quantum computing world is to test the existing blockchain networks against quantum attacks and design quantum computing enabled secure blockchain solutions. This book encourages professionals from different fields to provide blockchain and quantum technology-integrated solutions that incorporate low-cost, effective QoS, fast, secure, and futuristic demands. This book has surveyed and proposed approaches that improve quantum computing and cryptography protocols. Quantum computing and quantum science are not just helpful in software but the hardware world as well. To design networks with quantum science, quantum-enabled devices like quantum memories and quantum repeaters can be useful to demonstrate for organizations. For example, designing a single quantum repeater for long-distance quantum communication is useful in reducing the network cost, and ensuring better security levels. This book has introduced the quantum computing and blockchain technology aspects, their integration approaches and future directions.
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  • 86
    ISBN: 9783031072147
    Language: English
    Pages: 1 Online-Ressource(XV, 213 p. 57 illus., 11 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1048
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Big data.
    Abstract: Introduction -- Background of the ETS -- Fundamentals of the ETS -- State-of-the-art Automatic Evaluation Methods -- A Novel Methodology based on Linear Optimization of Metrics for the ETS -- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation -- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation -- Conclusions and future considerations for the ETS.
    Abstract: This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.
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  • 87
    ISBN: 9783030977306
    Language: English
    Pages: 1 Online-Ressource(XI, 270 p. 98 illus., 81 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 432
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Economics.
    Abstract: This book addresses the issues of information, digital and intellectual technologies in economics and management. The International Scientific and Practical Conference "Digital and Information Technologies in Economics and Management" (DITEM2021) was held on November 2, 2021, on the Microsoft Teams platform due to COVID-19. A distinctive feature of the book is that it presented reports of authors from Italy, South Korea, Poland, Armenia, Republic of Belarus and the Russian Federation. Researchers from different countries presented the process of transition of economic activities to the information and digital path of development and presented the main directions and developments that can improve the efficiency and development of the economy and management. The book may be useful to state and regional authorities, international and supranational organizations, the scientific and professional community.
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  • 88
    ISBN: 9783031072970
    Language: English
    Pages: 1 Online-Ressource(X, 184 p. 64 illus., 51 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: EAI/Springer Innovations in Communication and Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Data mining. ; Engineering—Data processing.
    Abstract: Introduction -- Testing Fundamentals -- Strategies and Methods For Test Cases -- Automated Testing Levels -- Polices and Plans for Testing -- Test Organization -- Controlling and Monitoring Testing Process -- Evaluating Automated Software Quality -- Defect Analysis and Prevention -- Optimization -- Security Testing -- Conclusion.
    Abstract: This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. · .
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  • 89
    ISBN: 9783031048128
    Language: English
    Pages: 1 Online-Ressource(XIII, 541 p. 233 illus., 132 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 134
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Engineering mathematics.
    Abstract: Digital Twin-driven Warehouse Management System for Picking Path Planning Problem -- Analysis of Transfer of Modulated Ink Flows in a Short Printing System of Parallel Structure -- Credit Strategy Model of Small, Medium and Micro Enterprises Based on Principal Component Analysis -- Modelling of Tone Reproduction with Round Raster Elements in a Short Printing System of Parallel Structure -- Parametric Optimization of Time-Domain Digital Control System -- Research on Possible Convolution Operation Speed Enhancement via AArch64 SIMD -- Research on the Application of Intelligent Logistics Innovation Technology in Logistics 4.0 Era -- An Optimal Pricing and Inventory Control Policy for Online Sale -- Variational Method for Solving the Time-fractal Heat Conduction Problem in the Claydite-block Construction -- Programming Language ASAMPL 2.0 for Mulsemedia Applications Development -- Location-based Threats for User Equipment in 5G Network -- Design and Implementation of Virtual Laboratory Construction Scheme for Transportation Logistics Specialty Group -- Application Research on Construction and Evaluation of Logistics Enterprises Performance -- Human Resource Structure and Scientific Research Productivity of Chinese Universities Based on Entropy Weight Method and the Relationship Model -- Dynamic Pricing Strategy and Simulation of Electricity Enterprises Based on Supply Chain Revenue Management Competitiveness of China Railway Express Node Cities Based on AHP.
    Abstract: This book contains high-quality refereed research papers presented at the Fifth International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2022), which took place in Kyiv, Ukraine, on February 21–22, 2022, and was organized by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute," National Aviation University, and the International Research Association of Modern Education and Computer Science. State-of-the-art studies in computer science, artificial intelligence, engineering methodologies, genetic coding systems, deep learning with medical applications, and knowledge representation with educational applications are among the topics covered in the book. For academics, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and education, this book is a valuable resource.
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  • 90
    ISBN: 9783031048296
    Language: English
    Pages: 1 Online-Ressource(XII, 643 p. 224 illus., 166 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 470
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Application software.
    Abstract: This book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications. This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.
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  • 91
    ISBN: 9783031079696
    Language: English
    Pages: 1 Online-Ressource(IX, 602 p. 290 illus., 188 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 489
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence.
    Abstract: This book is a collection of papers in the research area of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media and natural language processing. This book includes papers presented at the 5th International Conference on Big Data Cloud and Internet of Things, BDIoT 2021 during March 17–18, 2021, at ENSIAS, Mohammed V University in Rabat, Morocco.
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  • 92
    ISBN: 9783031045974
    Language: English
    Pages: 1 Online-Ressource(VIII, 248 p. 85 illus., 59 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1023
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: Uncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis -- A review of Machine Learning techniques to detect and treat COVID-19 using EHR data -- Machine Learning-Based Emerging Technologies in the Post Pandemic Scenario -- Biomedical Data Driven COVID-19 Prediction using Machine Learning Approach -- Impact of COVID-19 on Indian Agriculture -- Coordination of Covid-19 vaccination: an optimization problem and related tools derived from telecommunications systems.
    Abstract: This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.
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  • 93
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031052583
    Language: English
    Pages: 1 Online-Ressource(XII, 739 p. 130 illus., 101 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1010
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Business information services.
    Abstract: Digital Image Processing for Remote Sensing of the Earth's Surface -- Predictive analysis of energy use based on some forecasting models -- Digital Image Processing for Remote Sensing of the Earth's Surface -- Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach -- Firm's Sharia-compliant Status, Cross-sectional Returns, and Malaysian Cross-border Acquisition -- On the Boundary Between Rest Time and Working Hours in a Digital Environment.
    Abstract: This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.
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  • 94
    ISBN: 9783030820992
    Language: English
    Pages: 1 Online-Ressource(XII, 506 p. 198 illus., 150 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 258
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering—Data processing.
    Abstract: This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general. .
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  • 95
    ISBN: 9783030824693
    Language: English
    Pages: 1 Online-Ressource(XI, 362 p. 226 illus., 147 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 256
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Machine learning. ; Big data.
    Abstract: Engagement Analysis of Students in Online Learning Environments -- Application of Artificial Intelligence to predict the Degradation of Potential mRNA Vaccines Developed To Treat SARS-CoV-2 -- An Application of Transfer Learning: Fine-Tuning BERT for Spam Email Classification -- MMAP : A Multi-Modal Automated Online Proctor -- Applying Extreme Gradient Boosting for Surface EMG based Sign Language recognition -- Review of Security Aspects of 51 Percent Attack on Blockchain -- Integrated Micro-video Recommender based on Hadoop and Web-Scrapper -- Automated Sleep Staging System based on Ensemble Learning Model using Single-Channel EEG signal -- Segregation and User Interactive Visualization of Covid- 19 Tweets using Text Mining Techniques -- Software Fault Prediction using Data Mining Techniques on Software Metrics.
    Abstract: This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
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  • 96
    ISBN: 9783030878726
    Language: English
    Pages: 1 Online-Ressource(XIX, 416 p. 139 illus., 115 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1400
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing.
    Abstract: BIECO Runtime Auditing Framework -- Basic aspects in redundancy-based intrusion tolerance -- A Survey on the State of the Art of Vulnerability Assessment Techniques -- Comparison of Safety and Security analysis techniques -- Longitudinal study of grades for the Industrial Electronics and Automation Engineering degree programme -- Analysis of students' online interactions in the Covid era from the perspective of anomaly detection -- Evaluation of e-learning criteria to improve the academic and functional results of PhD studies -- Development of competencies applying the project method. Application in environmental engineering -- Bioengineering as a strategy for the consolidation of innovation and technological development processes in the central zone of Colombia -- Challenges and competences in Master Degrees from a Comprehensive Security perspective.
    Abstract: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at CISIS 2021 and ICEUTE 2021, all conferences held in the beautiful and historic city of Bilbao (Spain), in September 2021. The aim of the 14th CISIS 20121 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data mining. The need for intelligent, flexible behavior by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2021 International Program Committee selected 23 papers which are published in these conference proceedings achieving an acceptance rate of 40%. In this relevant edition, a special emphasis was put on the organization of special sessions. One special session is organized related to relevant topics as follows: building trust in ecosystems and ecosystem components. In the case of 12th ICEUTE 2021, the International Program Committee selected 17 papers, which are published in these conference proceedings. One special session is organized related to relevant topics as follows: sustainable personal goals: engaging students in their learning process. The selection of papers is extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the CISIS and ICEUTE conferences would not exist without their help.
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  • 97
    ISBN: 9783030854430
    Language: English
    Pages: 1 Online-Ressource(XIX, 185 p. 10 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 26
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction -- Chapter 2: Privacy and personal data protection -- Chapter 3: The General Data Protection Regulation -- Chapter 4: The “Right to be Forgotten” in the GDPR: Implementation challenges and potential solutions -- Chapter 5: State-of-the-art technological developments.
    Abstract: This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten'', on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.
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  • 98
    ISBN: 9783030846145
    Language: English
    Pages: 1 Online-Ressource(X, 175 p. 64 illus., 54 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 310
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Computer hardware.
    Abstract: Part I – Cyber Security Education -- An Integrated System for Connecting Cybersecurity Competency, Student Activities and Career Building -- Simulating Industrial Control Systems using Node-RED and Unreal Engine 4 -- Student Educational Learning Experience Through Cooperative Research -- Digital Forensics Education: Challenges and Future Opportunities -- Designing a Cybersecurity Curriculum Library: Best Practices from Digital Library Research -- Design of a Virtual Cybersecurity Escape Room -- Part II – Cyber Security Technology -- A Novel Method for the Automated Generation for JOP Chain Exploits -- Increasing Log Availability in Unmanned Vehicle Systems -- Testing Detection of K-Ary Code Obfuscated by Metamorphic and Polymorphic Techniques -- Enhancing Secure Coding Assistant System with Design by Contract and Programming Logic -- Social Engineering Attacks in Healthcare Systems: A Survey -- Identifying Anomalous Industrial-Control-System Network Flow Activity Using Cloud Honeypots -- Risks of Electric Vehicle Supply Equipment Integration within Building Energy Management System Environments: A Look at Remote Attack Surface and Implications.
    Abstract: This book presents findings from the papers accepted at the Cyber Security Education Stream and Cyber Security Technology Stream of The National Cyber Summit’s Research Track, reporting on latest advances on topics ranging from software security to cyber-attack detection and modelling to the use of machine learning in cyber security to legislation and policy to surveying of small businesses to cyber competition, and so on. Understanding the latest capabilities in cyber security ensures users and organizations are best prepared for potential negative events. This book is of interest to cyber security researchers, educators and practitioners, as well as students seeking to learn about cyber security.
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  • 99
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030796105
    Language: English
    Pages: 1 Online-Ressource(XI, 155 p. 17 illus., 16 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 382
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Engineering economics. ; Engineering economy. ; Economic theory.
    Abstract: Evolution of outbreaks, lessons learnt and Challenges towards “new normalcy” - Post COVID-19 world -- A Multi-Attribute Decision- Making (MADM) Approach for Evaluating Financial Performance of Candidate Companies Under COVID-19 Impacts: A Real Case Study -- Policy Response to Covid-19 Pandemic and Its Impact on the VietnameseEconomy: An Analysis of Social Media -- Probing Risk of Default in the Global Islamic Banking Industry: During the Covid-19 Pandemic -- Covid-19 and Cryptocurrency Markets Integration -- Monetary Policy Shocks and The Term Structure of Bond Yield: A SVAR Analysis of Malaysia -- Assessing Consumers’ Preferences in Purchasing Green Vehicles: An Economic Valuation Approach -- Relationship between Governance and Economic Growth in ASEAN -- EVFTA-A Review of Opportunities and Challenges for Vietnam. .
    Abstract: This book presents the main ideas on shifting the economy, finance, and banking sectors among ASEAN countries into a new paradigm. Since the economy and finance, as well as the banking sector in the ASEAN region, have been growing years by years, there is the need for the policymakers and relevant agencies to study the ideas on shifting the ASEAN economy, finance, and banking towards globalization through a new paradigm. Furthermore, the recent COVID-19 pandemic has affected not just human lives but also the economic and financial sectors. Because of COVID-19, most countries around the world have imposed lockdown and moving control order (MCO) as well as conditionally moving control order (CMCO). In this book, we tackle the main ideas on shifting the economy, finance, and banking sectors among ASEAN countries into a new paradigm. The researchers used econometric, mathematics, statistics, and quantitative sciences to study many economic, finance, and banking issues such as cryptocurrency, consumer preferences, and good governance. This book presents various new and novel results, methods, and algorithms. The findings of this book shall benefit the ASEAN policymakers, investors, and other relevant agencies. This book is also suitable for postgraduate students, researchers, and other scientists who work in econometric, finance, banking, and numerical simulation.
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  • 100
    ISBN: 9783030861629
    Language: English
    Pages: 1 Online-Ressource(XVI, 368 p. 124 illus., 92 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 320
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence.
    Abstract: This book constitutes the refereed proceedings of the 1st International Congress on Blockchain and Applications 2021, BLOCKCHAIN’21, held in Salamanca, Spain, in October 2021. Among the scientific community, blockchain and artificial intelligence are a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and artificial intelligence should be used together. The 38 full papers presented were carefully reviewed and selected from over 44 submissions. They contain the latest advances on blockchain and artificial intelligence and on their application domains, exploring innovative ideas, guidelines, theories, models, technologies, and tools and identifying critical issues and challenges that researchers and practitioners must deal with in future research.
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