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17 produkter
17 produkter
E-bok
PDF, Engelska, 2026866 kr
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AI-Powered Insurance is a comprehensive exploration of how Artificial Intelligence is revolutionizing the global insurance industry. This book brings together cutting-edge research and real-world case studies, covering AI's transformative impact across underwriting, risk management, customer experience, and policy personalization. It examines emerging technologies, ethical challenges, and security concerns while analyzing machine learning applications in insurance policy evaluation. From automation versus human expertise to bibliometric research trends, the book offers diverse perspectives from leading experts. An essential resource for researchers, practitioners, and policymakers, it charts the future of intelligent, data-driven insurance in an increasingly digital world.
E-bok
Engelska, 2026866 kr
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AI-Powered Insurance is a comprehensive exploration of how Artificial Intelligence is revolutionizing the global insurance industry. This book brings together cutting-edge research and real-world case studies, covering AI's transformative impact across underwriting, risk management, customer experience, and policy personalization. It examines emerging technologies, ethical challenges, and security concerns while analyzing machine learning applications in insurance policy evaluation. From automation versus human expertise to bibliometric research trends, the book offers diverse perspectives from leading experts. An essential resource for researchers, practitioners, and policymakers, it charts the future of intelligent, data-driven insurance in an increasingly digital world.
Inbunden, Engelska, 2026
1 861 kr
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AI-Powered Insurance is a comprehensive exploration of how Artificial Intelligence is revolutionizing the global insurance industry. This book brings together cutting-edge research and real-world case studies, covering AI's transformative impact across underwriting, risk management, customer experience, and policy personalization. It examines emerging technologies, ethical challenges, and security concerns while analyzing machine learning applications in insurance policy evaluation. From automation versus human expertise to bibliometric research trends, the book offers diverse perspectives from leading experts. An essential resource for researchers, practitioners, and policymakers, it charts the future of intelligent, data-driven insurance in an increasingly digital world.
Häftad, Engelska, 2024
891 kr
Skickas inom 5-8 vardagar
This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections:– WILE 2023: 16th Workshop on Intelligent Learning Environments– HIS 2023: 16th Workshop of Hybrid Intelligent Systems– CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications
E-bok
Engelska, 20241 141 kr
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This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.
The proceedings of MICAI 2023 workshops are structured into three sections:
– WILE 2023: 16th Workshop on Intelligent Learning Environments– HIS 2023: 16th Workshop of Hybrid Intelligent Systems
– CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications
Del 14755 - Lecture Notes in Computer Science
Pattern Recognition
16th Mexican Conference, MCPR 2024, Xalapa, Mexico, June 19–22, 2024, Proceedings
Häftad, Engelska, 2024
836 kr
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This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19–22, 2024, Proceedings.The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.
Pattern Recognition
16th Mexican Conference, MCPR 2024, Xalapa, Mexico, June 19–22, 2024, Proceedings
E-bok
Engelska, 20241 059 kr
Läs direkt efter köp
This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19–22, 2024, Proceedings.
The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.
Del 16264 - Lecture Notes in Computer Science
Advances in Computational Intelligence. MICAI 2025 International Workshops
HIS 2025, CIAPP 2025, WILE 2025, CHARAL 2025, ECSI 2025 Workshops, Guanajuato, Mexico, November 3–7, 2025, Proceedings, Part I
Häftad, Engelska, 2026
1 001 kr
Skickas inom 5-8 vardagar
This book constitutes the proceedings of several workshops which were held in conjunction with the MICAI 2025 International Workshops on Advances in Computational Intelligence, MICAI 2025, held in Guanajuato, Mexico, during November 3–7, 2025.The 59 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The first part contains 33 papers from the 18th workshop of Hybrid Intelligent Systems (HIS 2025) andthe first workshop on Evolutionary Computation and Swarm Intelligence (ECSI 2025). The second volume contains 26 papers from the 18th Workshop on Intelligent Learning Environments (WILE 2025), the 7th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2025) and the first workshop on Challenges in Holistic AI for Real-world Applications and Learning Systems (CHARAL 2025).
1 296 kr
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This book constitutes the proceedings of several workshops which were held in conjunction with the MICAI 2025 International Workshops on Advances in Computational Intelligence, MICAI 2025, held in Guanajuato, Mexico, during November 3–7, 2025.The 59 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The first part contains 33 papers from the 18th workshop of Hybrid Intelligent Systems (HIS 2025) andthe first workshop on Evolutionary Computation and Swarm Intelligence (ECSI 2025). The second volume contains 26 papers from the 18th Workshop on Intelligent Learning Environments (WILE 2025), the 7th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2025) and the first workshop on Challenges in Holistic AI for Real-world Applications and Learning Systems (CHARAL 2025).
Del 16265 - Lecture Notes in Computer Science
Advances in Computational Intelligence. MICAI 2025 International Workshops
HIS 2025, CIAPP 2025, WILE 2025, CHARAL 2025, ECSI 2025 Workshops, Guanajuato, Mexico, November 3–7, 2025, Proceedings, Part II
Häftad, Engelska, 2026
825 kr
Skickas inom 10-15 vardagar
This book constitutes the proceedings of several workshops which were held in conjunction with the MICAI 2025 International Workshops on Advances in Computational Intelligence, MICAI 2025, held in Guanajuato, Mexico, during November 3–7, 2025.The 59 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The first part contains 33 papers from the 18th workshop of Hybrid Intelligent Systems (HIS 2025) andthe first workshop on Evolutionary Computation and Swarm Intelligence (ECSI 2025). The second volume contains 26 papers from the 18th Workshop on Intelligent Learning Environments (WILE 2025), the 7th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2025) and the first workshop on Challenges in Holistic AI for Real-world Applications and Learning Systems (CHARAL 2025).
1 059 kr
Läs direkt efter köp
This book constitutes the proceedings of several workshops which were held in conjunction with the MICAI 2025 International Workshops on Advances in Computational Intelligence, MICAI 2025, held in Guanajuato, Mexico, during November 3–7, 2025.The 59 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The first part contains 33 papers from the 18th workshop of Hybrid Intelligent Systems (HIS 2025) andthe first workshop on Evolutionary Computation and Swarm Intelligence (ECSI 2025). The second volume contains 26 papers from the 18th Workshop on Intelligent Learning Environments (WILE 2025), the 7th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2025) and the first workshop on Challenges in Holistic AI for Real-world Applications and Learning Systems (CHARAL 2025).
Inbunden, Engelska, 2009
1 079 kr
Skickas inom 10-15 vardagar
Evolutionary algorithms (EAs), as well as other bio-inspired heuristics, are widely usedto solvenumericaloptimizationproblems.However,intheir or- inal versions, they are limited to unconstrained search spaces i.e they do not include a mechanism to incorporate feasibility information into the ?tness function. On the other hand, real-world problems usually have constraints in their models. Therefore, a considerable amount of research has been d- icated to design and implement constraint-handling techniques. The use of (exterior) penalty functions is one of the most popular methods to deal with constrained search spaces when using EAs. However, other alternative me- ods have been proposed such as: special encodings and operators, decoders, the use of multiobjective concepts, among others. An e?cient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex op- mization problems. In this way, this subject deserves special research e?orts.After asuccessfulspecialsessiononconstraint-handlingtechniquesusedin evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007, and motivated by the kind invitation made by Dr. Janusz Kacprzyk, I decided to edit a book, with the aim of putting together recent studies on constrained numerical optimization using evolutionary algorithms and other bio-inspired approaches. The intended audience for this book comprises graduate students, prac- tionersandresearchersinterestedonalternativetechniquestosolvenumerical optimization problems in presence of constraints.
E-bok
PDF, Engelska, 20091 416 kr
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Del 198 - Studies in Computational Intelligence
Constraint-Handling in Evolutionary Optimization
Häftad, Engelska, 2010
1 079 kr
Skickas inom 10-15 vardagar
Evolutionary algorithms (EAs), as well as other bio-inspired heuristics, are widely usedto solvenumericaloptimizationproblems.However,intheir or- inal versions, they are limited to unconstrained search spaces i.e they do not include a mechanism to incorporate feasibility information into the ?tness function. On the other hand, real-world problems usually have constraints in their models. Therefore, a considerable amount of research has been d- icated to design and implement constraint-handling techniques. The use of (exterior) penalty functions is one of the most popular methods to deal with constrained search spaces when using EAs. However, other alternative me- ods have been proposed such as: special encodings and operators, decoders, the use of multiobjective concepts, among others. An e?cient and adequate constraint-handling technique is a key element in the design of competitive evolutionary algorithms to solve complex op- mization problems. In this way, this subject deserves special research e?orts.After asuccessfulspecialsessiononconstraint-handlingtechniquesusedin evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007, and motivated by the kind invitation made by Dr. Janusz Kacprzyk, I decided to edit a book, with the aim of putting together recent studies on constrained numerical optimization using evolutionary algorithms and other bio-inspired approaches. The intended audience for this book comprises graduate students, prac- tionersandresearchersinterestedonalternativetechniquestosolvenumerical optimization problems in presence of constraints.
Inbunden, Engelska, 2021
1 723 kr
Skickas inom 10-15 vardagar
This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book. The conceptual as well as the mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science streams. The reader is encouraged to have basic knowledge of probability and mathematical analysis and optimization. The book also provides critical review of the contemporary constraint handling approaches. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions. This book is a complete reference for engineers, scientists, and students studying/working in the optimization, artificial intelligence (AI), or computational intelligence arena.
E-bok
Engelska, 20212 207 kr
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This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book. The conceptual as well as the mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science streams. The reader is encouraged to have basic knowledge of probability and mathematical analysis and optimization.
The book also provides critical review of the contemporary constraint handling approaches. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions. This book is a complete reference for engineers, scientists, and students studying/working in the optimization, artificial intelligence (AI), or computational intelligence arena.
Häftad, Engelska, 2022
1 723 kr
Skickas inom 10-15 vardagar
This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book. The conceptual as well as the mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science streams. The reader is encouraged to have basic knowledge of probability and mathematical analysis and optimization. The book also provides critical review of the contemporary constraint handling approaches. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions. This book is a complete reference for engineers, scientists, and students studying/working in the optimization, artificial intelligence (AI), or computational intelligence arena.