Special Issue On Advances In Artificial Intelligence


Special Issue On Advances In Artificial Intelligence
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Advances In Metaheuristics For Hard Optimization


Advances In Metaheuristics For Hard Optimization
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Author : Patrick Siarry
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-06

Advances In Metaheuristics For Hard Optimization written by Patrick Siarry and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-06 with Mathematics categories.


Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.



Advances In Artificial Intelligence


Advances In Artificial Intelligence
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Author : Marius G Gavrilescu
language : en
Publisher: Mdpi AG
Release Date : 2022-07-07

Advances In Artificial Intelligence written by Marius G Gavrilescu and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Mathematics categories.


The present book contains all the articles accepted and published in the Special Issue "Advances in Artificial Intelligence: Models, Optimization, and Machine Learning" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.



Advances In Artificial Intelligence And Statistical Techniques With Applications To Health And Education


Advances In Artificial Intelligence And Statistical Techniques With Applications To Health And Education
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Author : Ana Isabel Molina
language : en
Publisher:
Release Date : 2023

Advances In Artificial Intelligence And Statistical Techniques With Applications To Health And Education written by Ana Isabel Molina and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Artificial intelligence categories.


The present reprint contains all of the articles accepted and published in the Special Issue " Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education" from the MDPI journal Mathematics. This Special Issue aims to develop more efficient and effective approaches to healthcare and education, leveraging the increasing availability of big data and advancements in artificial intelligence. By sharing new methods, applications, and case studies, this reprint is dedicated to the development of innovative solutions that improve healthcare and education for all. The topics addressed in this Special Issue cover a wide range of areas, including data mining, machine learning, learning analytics, prediction methods, pattern recognition, decision analysis, probabilistic reasoning, fuzzy systems, student or patient modelling, adaptive systems, collaborative systems, recommendation systems, experimental design, and empirical study cases. We hope that this reprint will enable the scientific community in both medicine and education to leverage the techniques from statistics and artificial intelligence to drive significant advances in their respective fields. These approaches hold promise for improving patient outcomes and enhancing the quality of education for students around the world.



Advances In Artificial Intelligence Models Optimization And Machine Learning


Advances In Artificial Intelligence Models Optimization And Machine Learning
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Author : Florin Leon
language : en
Publisher:
Release Date : 2022

Advances In Artificial Intelligence Models Optimization And Machine Learning written by Florin Leon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.


The present book contains all the articles accepted and published in the Special Issue "Advances in Artificial Intelligence: Models, Optimization, and Machine Learning" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.



Recent Advances In Reinforcement Learning


Recent Advances In Reinforcement Learning
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Author : Leslie Pack Kaelbling
language : en
Publisher: Springer
Release Date : 2007-08-28

Recent Advances In Reinforcement Learning written by Leslie Pack Kaelbling and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-28 with Computers categories.


Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).



Advances In Intelligent Systems And Computing


Advances In Intelligent Systems And Computing
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Author : Natalya Shakhovska
language : en
Publisher: Springer
Release Date : 2016-09-12

Advances In Intelligent Systems And Computing written by Natalya Shakhovska and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-12 with Technology & Engineering categories.


The book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issue in big data and cloud computing, computation linguistics, cyber-physical systems as well as topics in intelligent information management. Written by active researchers, the different chapters are based on contributions presented at the workshop in intelligent systems and computing (ISC), held during CSIT 2016, September 6-9, and jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. All in all, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and it is expected to foster new discussions and collaborations among different groups.



Advances In Artificial Intelligence


Advances In Artificial Intelligence
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Author : James C. Bezdek
language : en
Publisher: World Scientific
Release Date : 1990

Advances In Artificial Intelligence written by James C. Bezdek and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.


Presents extensions of papers reported in the proceedings of the 1989 SPIE symposium. In the applications group articles cover the use of expert systems in computer aided education, hydrocarbon (oil) exploration, satellite image analysis for oceanography, particle beam accelerator tuning, design of internal combustion engines. Papers in the theory group cover theories, algorithms, architectures and software tools that can be used for modules within future systems.



Advances In Explainable Ai Applications For Smart Cities


Advances In Explainable Ai Applications For Smart Cities
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Author : Ghonge, Mangesh M.
language : en
Publisher: IGI Global
Release Date : 2024-01-18

Advances In Explainable Ai Applications For Smart Cities written by Ghonge, Mangesh M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Computers categories.


As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.



Predictive Intelligence In Biomedical And Health Informatics


Predictive Intelligence In Biomedical And Health Informatics
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Author : Rajshree Srivastava
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-10-12

Predictive Intelligence In Biomedical And Health Informatics written by Rajshree Srivastava and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Computers categories.


Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.



Artificial Intelligence In Medicine


Artificial Intelligence In Medicine
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Author : David Riaño
language : en
Publisher: Springer
Release Date : 2019-06-19

Artificial Intelligence In Medicine written by David Riaño and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-19 with Computers categories.


This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.