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  • 1
    ISBN: 9783631852781 , 3631852789
    Language: English
    Pages: 285 Seiten , Illustrationen , 21.0 cm x 14.8 cm
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    DDC: 302.231019
    RVK:
    RVK:
    Keywords: Aufsatzsammlung ; Neue Medien ; Kommunikation ; Stress ; Wohlbefinden
    Note: Enthält Literaturangaben
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    ISBN: 9781119905233 , 1119905230 , 9781119905226 , 1119905222 , 9781119905219 , 1119905214 , 9781119904885
    Language: English
    Pages: 1 online resource.
    Parallel Title: Erscheint auch als
    DDC: 004.67/82
    Keywords: Cloud computing ; Artificial intelligence ; Big data
    Abstract: CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.
    Note: Includes bibliographical references and index. - Online resource; title from PDF title page (John Wiley, viewed February 15, 2023)
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  • 3
    ISBN: 032385799X , 9780323857994
    Language: English
    Pages: 1 online resource (180 pages)
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    DDC: 629.89263
    Keywords: Robotics ; Artificial intelligence ; Robotics ; Artificial Intelligence ; Robotique ; Intelligence artificielle ; artificial intelligence ; Artificial intelligence ; Robotics ; Electronic books ; Electronic books
    Abstract: Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use-case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics.
    Note: 6.4.1 Data heterogeneity mitigation using Nelder-Mead method. - Print version record
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Academic Press | Boston, MA : Safari
    ISBN: 9780128182420
    Language: English
    Pages: 1 online resource (298 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments
    Note: Online resource; Title from title page (viewed August 31, 2019)
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  • 5
    ISBN: 9789811620089
    Language: English
    Pages: 1 Online-Ressource(XIV, 601 p. 316 illus., 261 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1354
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer software. ; Signal processing. ; Image processing. ; Speech processing systems. ; Computer engineering. ; Internet of things. ; Embedded computer systems.
    Abstract: Chapter 1. CNN parameter adjustment for brain tumor classification -- Chapter 2. Advance Fuzzy Radial Basis Function Neural Network -- Chapter 3. Unbounded Fuzzy Radial Basis Function Neural Network Classifier -- Chapter 4. A study on the adaptability of Deep Learning-based Polar coded NOMA in Ultra-Reliable Low-Latency Communication Scenario -- Chapter 5. Heart Rate Variability based Mental Stress Detection using Deep Learning Approach -- Chapter 6. Product Based Market Analysis using Deep Learning -- Chapter 7. Driver drowsiness detection using Deep-Learning Chapter 8. Emotion detection from social media-based using machine learning techniques: A Survey -- Chapter 9. Deep age estimation using sclera images in multiple environment -- Chapter 10. Data Handling Approach for Machine Learning in Wireless Communication: A Survey -- Chapter 11. Breast cancer detection in mammograms using deep learning -- Chapter 12. Deep learning based Parameterized Framework to investigate the influence of Pedagogical Innovations in Engineering Courses -- Chapter 13. Modern Transfer Learning based preliminary diagnosis of COVID-19 using forced cough recordings with Mel-frequency cepstral coefficients -- Chapter 14. Biomedical Text Summarization: A Graph Based Ranking Approach -- Chapter 15. EEG based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity.
    Abstract: This book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.
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  • 6
    ISBN: 9789811651571
    Language: English
    Pages: 1 Online-Ressource(XXXIII, 1030 p. 557 illus., 428 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1408
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Statistics . ; Natural language processing (Computer science).
    Abstract: Analysis of Healthcare Industry Using Machine Learning Approach: A Case Study in Bengaluru Region -- Dynamic Document Localization for Ecient Mining -- SentiSeries: A Trilogy of Customer Reviews, Sentiment Analysis and Time Series -- Video Summarization using Fully Convolutional Residual Dense Network -- An Efficient Deep Learning Approach for Detecting Pneumonia Using the Convolutional Neural Network -- QMCDS: Quantum Memory for Cloud Data Storage -- A Study towards Bangla Fake News Detection using Machine Learning and Deep Learning -- A Deep Learning Approach to Analyze the Propagation of Pandemic in America -- Graph Convolution Based Joint Learning of Rumour with Content, User Credibility, Propagation Context and Cognitive as well as Emotion Signals -- Deep Learning based Real Time Object Classification and Recognition using Supervised Learning Approach.
    Abstract: This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.
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  • 7
    ISBN: 9783030906399
    Language: English
    Pages: 1 Online-Ressource(XXII, 1276 p. 711 illus., 443 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1418
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    Keywords: Computational intelligence. ; Environmental sciences—Social aspects.
    Abstract: Fault Tolerance in SDN Controllers -- Towards Blockchain-Based Authentication for E-Health -- Biometric Identification of Individuals Based on Scalograms of Electrocardiogram and Capsule Network -- Comparison of the Response Time between Small data and Big data of the BPIS Datasets Requests -- A Review of Recent Advancements regarding the Geometry of Flow Field Channels in the Bipolar Plates of Polymer Electrolyte Membrane Fuel Cells -- Smart Parking Guidance System Based On Distributed IoT Strategy -- Deep Learning Based Sentiment Aware Ranking For E-commerce Product Search -- Using machine learning tools for forecasting residential Liquefied Petroleum Gas demand in Morocco -- The mastery of the evolution of human competence for optimal planning of human resource allocation: Case Study -- Hospital energy performance assessment by the energy performance indicator “IEB”.
    Abstract: This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.
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  • 8
    ISBN: 9789811656859
    Language: English
    Pages: 1 Online-Ressource(XXVI, 623 p. 244 illus., 171 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 86
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    Keywords: Computational intelligence. ; Artificial intelligence—Data processing. ; Data mining. ; Engineering—Data processing.
    Abstract: Linguistic Information for Decision Making using SVM -- Generalization of blocks linked with query response using metaheuristic approach -- Gold Price Prediction using an evolutionary Extreme Learning Machine -- Prediction of Personality Traits in Facebook Users -- Analysing Odisha Turmeric Price and Other Major Turmeric Producing States of India: A Longitudinal Approach -- System For Full Immunization Coverage -- Intelligent Big Data Analytics: A Perspective for IoHT & HealthCare -- Host Specific Outlier Detection using Process Relation Semantics with Graph Mining -- Intrusion Detection and Prevention Systems Using snort -- ANFIS for Fraud Automobile Insurance Detection System -- Computer Vision-Based Alert System to Detect Fatigue in Vehicle Drivers -- Concentration Level of a Learner using Facial Expressions on E-Learning Platform -- A Multidimensional Data Mining Approach for Video Analysis and Ranking System -- Impulse Noise Restoration Using Combined Fuzzy Logic and Adaptive Trimmed Median Filter.
    Abstract: This book includes high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from 19 to 20 February 2021. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.
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  • 9
    ISBN: 9783031352515
    Language: English
    Pages: 1 Online-Ressource(XXIV, 434 p. 234 illus., 177 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 712
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    Keywords: Environmental sciences—Social aspects. ; Computational intelligence. ; Control engineering. ; Robotics. ; Automation. ; Environmental sciences
    Abstract: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.
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  • 10
    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
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    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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