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Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications PDF Author: Gilberto Rivera
Publisher: Springer Nature
ISBN: 3031383257
Category : Computers
Languages : en
Pages : 597

Book Description
In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications PDF Author: Gilberto Rivera
Publisher: Springer Nature
ISBN: 3031383257
Category : Computers
Languages : en
Pages : 597

Book Description
In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

A Concise Introduction to Decentralized POMDPs

A Concise Introduction to Decentralized POMDPs PDF Author: Frans A. Oliehoek
Publisher: Springer
ISBN: 3319289292
Category : Computers
Languages : en
Pages : 146

Book Description
This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.

UAV Cooperative Decision and Control

UAV Cooperative Decision and Control PDF Author: Tal Shima
Publisher: SIAM
ISBN: 0898716640
Category : Mathematics
Languages : en
Pages : 179

Book Description
An authoritative reference on cooperative decision and control of unmanned aerial vehicles.

Theory and Algorithms for Cooperative Systems

Theory and Algorithms for Cooperative Systems PDF Author: Don Grundel
Publisher: World Scientific
ISBN: 9812560203
Category : Computers
Languages : en
Pages : 603

Book Description
Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve — while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the Fourth Annual Conference on Cooperative Control and Optimization held in Destin, Florida, November 2003.This book has been selected for coverage in: • Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences

Advances in Guidance, Navigation and Control

Advances in Guidance, Navigation and Control PDF Author: Liang Yan
Publisher: Springer Nature
ISBN: 981158155X
Category : Technology & Engineering
Languages : en
Pages : 5416

Book Description
This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircraft. It covers a range of topics, including, but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation, and control. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.

Autonomous Vehicles - Applications and Perspectives

Autonomous Vehicles - Applications and Perspectives PDF Author: Petar Piljek
Publisher: BoD – Books on Demand
ISBN: 1837696616
Category : Transportation
Languages : en
Pages : 160

Book Description
In recent times, remarkable progress has taken place in the field of autonomous vehicles, reshaping industries such as logistics, transportation, defense, and more. The quest for achieving fully autonomous systems has been a thrilling yet demanding journey, as researchers and engineers continually push the limits of technological ingenuity. Autonomous Vehicles - Applications and Perspectives delves into the field of autonomous vehicles across eight chapters that cover various facets of this domain. The book is organized into four sections: "Introduction", "Autonomous Vehicles Enabling Technologies", "Autonomous Vehicles Applications and Potentials", and "Challenges and Perspectives". Its main goal is to provide an informative resource for those interested in autonomous vehicles, inspiring progress and discussions for researchers, students, and professionals alike.

UAV Cooperative Decision and Control

UAV Cooperative Decision and Control PDF Author: Tal Shima
Publisher: SIAM
ISBN: 0898718589
Category : Mathematics
Languages : en
Pages : 180

Book Description
Unmanned aerial vehicles (UAVs) are increasingly used in military missions because they have the advantages of not placing human life at risk and of lowering operation costs via decreased vehicle weight. These benefits can be fully realized only if UAVs work cooperatively in groups with an efficient exchange of information. This book provides an authoritative reference on cooperative decision and control of UAVs and the means available to solve problems involving them.

Optimization, Learning, and Control for Interdependent Complex Networks

Optimization, Learning, and Control for Interdependent Complex Networks PDF Author: M. Hadi Amini
Publisher: Springer Nature
ISBN: 3030340945
Category : Technology & Engineering
Languages : en
Pages : 306

Book Description
This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. • Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks • Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks • Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.

Intelligent Autonomy of UAVs

Intelligent Autonomy of UAVs PDF Author: Yasmina Bestaoui Sebbane
Publisher: CRC Press
ISBN: 1351339397
Category : Computers
Languages : en
Pages : 396

Book Description
Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides guidelines of how this task can be solved by different generic robotic problems. As such, this book aims to provide a systems engineering approach to UAV projects, discovering the real problems that need to be resolved independently of the application. After an introduction to the rapidly evolving field of aerial robotics, the book presents topics such as autonomy, mission analysis, human-UAV teams, homogeneous and heterogeneous UAV teams, and finally, UAV-UGV teams. It then covers generic robotic problems such as orienteering and coverage. The book next introduces deployment, patrolling, and foraging, while the last part of the book tackles an important application: aerial search, tracking, and surveillance. This book is meant for both scientists and practitioners. For practitioners, it presents existing solutions that are categorized according to various missions: surveillance and reconnaissance, 3D mapping, urban monitoring, precision agriculture, forestry, disaster assessment and monitoring, security, industrial plant inspection, etc. For scientists, it provides an overview of generic robotic problems such as coverage and orienteering; deployment, patrolling and foraging; search, tracking, and surveillance. The design and analysis of algorithms raise a unique combination of questions from many fields, including robotics, operational research, control theory, and computer science.

Cooperative Control of Multi-Agent Systems

Cooperative Control of Multi-Agent Systems PDF Author: Yue Wang
Publisher: John Wiley & Sons
ISBN: 1119266211
Category : Technology & Engineering
Languages : en
Pages : 335

Book Description
A comprehensive review of the state of the art in the control of multi-agent systems theory and applications The superiority of multi-agent systems over single agents for the control of unmanned air, water and ground vehicles has been clearly demonstrated in a wide range of application areas. Their large-scale spatial distribution, robustness, high scalability and low cost enable multi-agent systems to achieve tasks that could not successfully be performed by even the most sophisticated single agent systems. Cooperative Control of Multi-Agent Systems: Theory and Applications provides a wide-ranging review of the latest developments in the cooperative control of multi-agent systems theory and applications. The applications described are mainly in the areas of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Throughout, the authors link basic theory to multi-agent cooperative control practice — illustrated within the context of highly-realistic scenarios of high-level missions — without losing site of the mathematical background needed to provide performance guarantees under general working conditions. Many of the problems and solutions considered involve combinations of both types of vehicles. Topics explored include target assignment, target tracking, consensus, stochastic game theory-based framework, event-triggered control, topology design and identification, coordination under uncertainty and coverage control. Establishes a bridge between fundamental cooperative control theory and specific problems of interest in a wide range of applications areas Includes example applications from the fields of space exploration, radiation shielding, site clearance, tracking/classification, surveillance, search-and-rescue and more Features detailed presentations of specific algorithms and application frameworks with relevant commercial and military applications Provides a comprehensive look at the latest developments in this rapidly evolving field, while offering informed speculation on future directions for collective control systems The use of multi-agent system technologies in both everyday commercial use and national defense is certain to increase tremendously in the years ahead, making this book a valuable resource for researchers, engineers, and applied mathematicians working in systems and controls, as well as advanced undergraduates and graduate students interested in those areas.