This book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It present...
ISBN:
(数字)9783031824357
ISBN:
(纸本)9783031824340;9783031824371
This book highlights cutting-edge research in network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2024). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics, and spreading processes; machine learning and graph neural networks, as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
The case-based reasoning (CBR) and case-based design (CBD) have been around for some time and established themselves as one of the commonly used mechanisms of approximate reasoning in intelligent systems and de- sion ...
ISBN:
(数字)9783540757078
ISBN:
(纸本)9783540757054;9783642094859
The case-based reasoning (CBR) and case-based design (CBD) have been around for some time and established themselves as one of the commonly used mechanisms of approximate reasoning in intelligent systems and de- sion support systems, in particular. In a nutshell, the CBR mechanisms o?er a powerful and general environment in which we generalize on a basis of - ready accumulated experience being represented in the form of a ?nite and relatively small collection of cases. Those cases constitute the essence of the existing domain knowledge. When encountering a new situation we invoke and eventually modify the already collected decision scenarios (cases) and arrive at the pertinent decision or a certain design alternative. Interestingly, uncertainty or granularity of resulting decision is inherently associated with the nature of the cases being used in the reasoning process and a way in which partial matching takes place between the historical ?ndings (cases) and a current evidence. ThebookbyProfessorsAvramenkoandKraslawskiisuniqueinseveral- portant ways. First, it is an impressive and in-depth treatment of the essence of the case-based reasoning strategy and case-based design dwelling upon the algorithmic facet of the paradigm. Second, the authors provided an excellent applied research framework by showing how this development can be e?- tivelyutilizedinrealwordcomplicatedenvironmentofprocessengineering–a pursuit that is rarely reported in the literature in such a comprehensive m- ner as done in this book.
This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monit...
ISBN:
(数字)9783030366179
ISBN:
(纸本)9783030366162;9783030366193
This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.
computationalintelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. computational ...
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ISBN:
(数字)9783642144646
ISBN:
(纸本)9783642144639;9783642264924
computationalintelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. computationalintelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computationalintelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computationalintelligence paradigms in healthcare. It - cludes nineteen chapters on using various computationalintelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computationalintelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computationalintelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.
The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and ...
ISBN:
(数字)9783030459567
ISBN:
(纸本)9783030459550;9783030459581
The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and the latest trends and contributing systems.;The content is divided into six parts. Pat I presents for the first time the emerging ROS 2.0 framework, while Part II focuses on multi-robot systems, namely on SLAM and Swarm coordination. Part III provides two chapters on autonomous systems, namely self-driving cars and unmanned aerial systems. In turn, Part IV addresses the contributions of simulation frameworks for ROS. In Part V, two chapters explore robotic manipulators and legged robots. Finally, Part VI presents emerging topics in monocular SLAM and a chapter on fault tolerance systems for ROS. Given its scope, the book will offer a valuable companion for ROS users and developers, helping them deepen their knowledge of ROS capabilities and features.
The book presents a coherent understanding of computationalintelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central...
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ISBN:
(数字)9788132220749
ISBN:
(纸本)9788132220732;9788132228943
The book presents a coherent understanding of computationalintelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computationalintelligence.
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