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  • MPI Ethno. Forsch.  (14)
  • Lee, Roger  (7)
  • Pedrycz, Witold  (7)
  • Cham : Springer International Publishing  (14)
  • Florence : Firenze University Press
  • Washington, D.C : The World Bank
  • Computational intelligence.  (14)
  • 1
    ISBN: 9783031447426
    Language: English
    Pages: 1 Online-Ressource(XXII, 344 p. 32 illus., 16 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1121
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Operations research.
    Abstract: Foundations of Decision -- Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment -- The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment -- The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.
    Abstract: Authored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.
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  • 2
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031121272
    Language: English
    Pages: 1 Online-Ressource(XIV, 214 p. 78 illus., 60 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1055
    Parallel Title: Erscheint auch als
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    Keywords: Electronic data processing—Management. ; Computational intelligence. ; Database management. ; Electronic data processing
    Abstract: symKrypt: A Lightweight Symmetric-Key Cryptography for Diverse Applications -- PK-BERT: Knowledge Enhanced Pre-trained Models with Prompt for Few-shot Learning -- Typhoon Track Prediction Based on TimeForce CNN-LSTM Hybrid Model -- The Novel Characterizing Method of Collective Behavior Pattern in PSO -- Research on Box Office Prediction of Commercial Films Based on Internet Search Index and Multilayer Perceptron -- A DCRC Model For Text Classification -- Hierarchical Medical Classification based on DLCF -- Noise Detection and Classification in Chagasic ECG Signals based on One-Dimensional Convolutional Neural Networks -- Based on the analysis of interrelation between parallel distributed computer system and network -- Improvement of DGA Long Tail Problem Based on Transfer Learning -- A Phonetics and Semantics-Based Chinese Short Text Fusion Algorithm -- Feature Extension for Chinese Short Text Based on Tongyici Cilin -- Task-Level Consistency Semi-Supervised Based Domain Adaptation for Lung Nodules Segmentation -- Malaria Blood Smears Object Detection based on Convolutional DCGAN and CNN Deep Learning Architectures.
    Abstract: This book presents scientific results of the 22nd IEEE/ACIS International Conference on Computer and Information Science (ICIS 2022) held on June 26-28, 2022 in Zhuhai China. 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. Research results about all aspects (theory, applications, and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. 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, 14 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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  • 3
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031196041
    Language: English
    Pages: 1 Online-Ressource(XIII, 216 p. 89 illus., 58 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1074
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: A-IDE: A Non-intrusive Cross-platform Development Environment for AVR Programming in Assembly -- Develop a Horizontal Virtual Frame by Adding Field of View Restrictions to Reduce VR Sickness -- Represent Score as the Measurement of User Influence on Twitter -- The Experience of Developing a FAT File System Module in the Rust Programming Language -- Factors Influencing Consumers’ Online Grocery Shopping under the New Normal -- Skeletal Muscle Segmentation at the Third Lumbar Vertebral Level in Radiotherapy CT Images -- Speed-up Single Shot Detector on GPU with CUDA -- An Empirical Study on the Economic Factors Affecting on the Export of Defense Industry Using Hofstede’s Cul-ture Dimension Theory -- A Study on the Application of Blockchain Technology in Non-Governmental Organizations -- Confidential Documents Sharing Model based on Blockchain Environment -- Distance Based Clustering Method for the Wireless Sen-sor Network -- Study on OSINT-based security control monitoring utilization plan -- A Study on the Strategy of SWOT Extraction in the Metavers Platform Review Data : Using NLP Techniques -- Does facial expression accurately reveal true emotion? Evidence from EEG signal -- NSGA-II-AMO: a Faster Genetic Algorithm for QWSCP.
    Abstract: This book presents scientific results of the 23rd ACIS International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer) which was held on July 4-6, 2022, at Kyoto City, Japan. 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. Research results about all aspects (theory, applications, and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the workshop. 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 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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  • 4
    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
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    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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  • 5
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031164859
    Language: English
    Pages: 1 Online-Ressource(XIII, 208 p. 56 illus., 36 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1067
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Why do companies become similar, but performance is different?: Understanding of Corporate isomorphism through Self-determination -- A Study on the Customer Experience Management (CEM) by Applying Walk-through Audit (WtA); Focused on Hospitality Service Cases -- A Study on the Factors of Positive Psychological Capital on Organizational Citizenship Behavior: For Teachers of Infant Welfare Service Institutions -- The Effect of Self-Determination and Quality of VR-based Education in the Metaverse on Learner Satisfaction -- A Study on Industrial Artificial Intelligence-Based Edge Analysis for Machining Facilities -- AI Recruitment System Using EEG to Explore the Truth of Interviewers -- Development of ESG Evaluation Indicators from a Policy Perspective - Focusing on the Legislature -- A Study on the Analysis of Related Keywords on the Per-ception of Untact Coding Education in the post-COVID era Using Big data Analysis -- Relationship between Narcissism, Self-esteem and youth consumption Behavior -- The Effect of Transformational Leadership on the Volun-teer Members’ Organizational Commitment in Non-profit Organizations: The Moderating Effect of Motives on Volunteering -- Analysis on the Life Cycle of Soundtrack Content in K-pop - Data-driven on music platforms -- Method of Selecting the Optimal Location of Barrier-Free Bus Stops Using Clustering -- Common adverse events following COVID-19 vaccination in patients with type 2 diabetes -- Examining Participant's Perception of SPICE Factors of Metaverse MICE and Its Impact on Participant's Loyalty and Behavioral Intentions -- Kidult Marketing Reflecting the Characteristics of MZ Generation.
    Abstract: This edited book presents scientific results of the 1st ACIS International Symposium on Emotional Artificial Intelligence & Metaverse (EAIM) which was held on August 4-6, 2022, in Danang, Vietnam. The aim of this symposium 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 emotional artificial intelligence and metaverse, 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 symposium organizers selected the best papers from those papers accepted for presentation at the symposium. 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 symposium’s most promising papers are then published in this Springer (SCI) book and not the symposium proceedings. We impatiently await the important contributions that we know these authors will bring to the field of emotional artificial intelligence and metaverse.
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  • 6
    ISBN: 9783031304033
    Language: English
    Pages: 1 Online-Ressource(IX, 185 p. 34 illus., 9 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Systems, Decision and Control 471
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Operations research.
    Abstract: Basic concepts of voting -- Preferential voting based on data envelopment analysis -- Group preferential voting -- Applications of preferential voting in industry and society.
    Abstract: This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support. This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming. This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.
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  • 7
    ISBN: 9783031431814
    Language: English
    Pages: 1 Online-Ressource(XIV, 180 p. 32 illus., 29 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 138
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Relationship between DEA models without explicit inputs and DEA-R models -- Finding efficient surfaces in DEA-R models -- Cost and revenue efficiency in DEA-R models -- A Novel Slack-Based Model for Efficiency and Super-efficiency in DEA-R -- A Multi-Criteria Ratio-Based Approach for Two-Stage Data Envelopment Analysis -- A novel network DEA-R model for evaluating hospital services supply chain performance -- A novel inverse DEA-R model for inputs/output estimation -- Evaluation of Two-Stage Networks based on Average Efficiency Using DEA and DEA-R with Fuzzy Data -- Stochastic network DEA-R models for two-stage systems.
    Abstract: The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.
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  • 8
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031261350
    Language: English
    Pages: 1 Online-Ressource(XII, 156 p. 61 illus., 41 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1086
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: Formal Method PAR-based Development of Graph Traversal Algorithms Family -- Automatic Piano Accompaniment Generation Method by Drum Rhythm Features with Selectable Difficulty Level -- Using Mixed Reality Technology for Teaching a New Language: A Study from Teachers’ Perspectives -- Reinforcement Learning and Action Space Shaping for a Humanoid Agent in a Highly Dynamic Environment -- Color-SIFT Features for Histopathological Image Analysis -- Time-Series Multidimensional Dialogue Feature Visualization Method for Group Work -- A Study on the Usage Prediction Model of Demand Response Resource Using Machine Learning -- A Study on AI Profiling Technology of Malicious Code Meta Information -- A Study on the Factors Affecting the Intention to Contin-ue to Use and Net Impacts of Smart Factory -- Protecting the rights and legitimate interests of the par-ties in B2B non-personal data sharing transactions: Experiences from the UK and EU and lessons learnt for Vietnam -- Capacitive Pressure Sensor based on Interdigitated Capacitor for applications in Smart Textile -- Author Index.
    Abstract: This edited book presents scientific results of the 24th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer) which was held on December 7–9, 2022, at Taichung, Taiwan. 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. The conference organizers selected the best papers from those papers accepted for presentation at the workshop. 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 most promising papers are then published in this Springer (SCI) book and not the conference proceedings.
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  • 9
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031320958
    Language: English
    Pages: 1 Online-Ressource(VIII, 232 p. 70 illus., 51 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1100
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation -- A Geometric Perspective on Feature-Based Distillation -- Knowledge Distillation Across Vision and Language -- Knowledge Distillation in Granular Fuzzy Models by Solving Fuzzy Relation Equations -- Ensemble Knowledge Distillation for Edge Intelligence in Medical Applications -- Self-Distillation with the New Paradigm in Multi-Task Learning -- Knowledge Distillation for Autonomous Intelligent Unmanned System.
    Abstract: The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.
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  • 10
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030923174
    Language: English
    Pages: 1 Online-Ressource(XV, 189 p. 89 illus., 59 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1012
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Software engineering. ; Artificial intelligence.
    Abstract: Segmentation of Spinal MRI Images and New Compression Fracture Detection -- Key issues for Digital Factory Designing and Planning: A Survey -- Concentration-based robot control method with FPGA -- SolarWinds Software Supply Chain Security: Better Protection with Enforced Policies and Technologies -- A Data Hiding Technology by Applying Interpolation in Extended Local Binary Pattern -- Insect Species Identification System Based on Deep Learning -- Study of DIFA based Learning Data Generating Methodology for Malware Detection.
    Abstract: This book presents scientific results of the 22nd ACIS International Fall Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2021-Fall) which was held on November 24–26, 2021, at Taichung, Taiwan. 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. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. 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, 13 of 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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  • 11
    ISBN: 9783030921279
    Language: English
    Pages: 1 Online-Ressource(XVII, 785 p. 255 illus., 167 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 362
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23–24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.
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  • 12
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030989743
    Language: English
    Pages: 1 Online-Ressource(XI, 136 p. 63 illus., 40 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Big and Integrated Artificial Intelligence 1
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Introduction to fuzzy sets -- Fuzzy numbers -- Fuzzy relations -- Fuzzy logic -- Fuzzy inference systems -- Combining artificial neural networks and fuzzy sets -- Fuzzy transform -- Introduction to granular computing.
    Abstract: This book offers an essential introduction to fuzzy logic, starting with the classical notions and going through more advanced notions from the current state-of-the-art research. Each of the major topics is accompanied by examples, problems and Scilab codes. As a free open source software, Scilab offers everyone the chance to practice the concepts learned through the book. The book represents a synthesis of authors’ research and experience through the lectures delivered to university students. It is primarily intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics and engineering. It also represents a valuable resource for practitioners and researchers alike, bringing ideas for projects in the broad field of fuzzy logic.
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  • 13
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030952396
    Language: English
    Pages: 1 Online-Ressource(VIII, 342 p. 74 illus., 47 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 106
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence.
    Abstract: The Psychology of Conflictive Uncertainty -- How Multi-View Techniques Can Help in Processing Uncertainty -- Multi-View Clustering and Multi-View Models -- Rethinking Collaborative Clustering: A Practical and Theoretical Study within the Realm of Multi-View Clustering -- An Optimal Transport Framework for Collaborative Multi-View Clustering -- Data Anonymization through Multi-Modular Clustering.
    Abstract: This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clustering, consensus building in decision processes, computer vision, knowledge representation, big data, data streaming, among others. The chapters demonstrate recent pursuits in the methodology, theory, advanced algorithms, and applications of multi-view data analytics and bring new perspectives of data interpretation. The timely book will appeal to a broad readership including both researchers and practitioners interested in gaining exposure to the rapidly growing trend of multi-view data analytics and intelligent systems.
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  • 14
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783030905286
    Language: English
    Pages: 1 Online-Ressource(XV, 145 p. 58 illus., 56 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1003
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Computers. ; Management information systems. ; Computer science.
    Abstract: Automatic Speech Recognition for Portuguese with Small Data Set -- Service Bursting based on Binary PSO in Hybrid Cloud Environment -- Profile Deviation Analysis of Global Firms' Working Capital Management in the Automotive Industry during the Financial Crisis and Recovery Periods -- A Novel Authenticity of Artwork System based on Blockchain -- A Study on Strategic Plan for Convergence 6th Industry Policy -- Development of Air Pressure Measurement System of Suction Cups in a Vacuum Gripper -- Efficiency Assessment in Digital and Online Functions of University Libraries Using Data Envelopment Analysis -- A Study on Airport Service Improvement Using Service Design Process -- Effect of Empirical Value of Untact marketing on Consumer Satisfaction and Repurchase Intention: Centered on Service Application.
    Abstract: This edited book presents scientific results of the 21th IEEE/ACIS International Fall Virtual Conference on Computer and Information Science (ICIS 2021-Fall) held on October 13-15, 2021, in Xi’an China. 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. Research results about all aspects (theory, applications, and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. 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, 13 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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