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Download or read book 2014 International Joint Conference on Neural Networks (IJCNN 2014) written by and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michel Verleysen
Publisher : Presses universitaires de Louvain
ISBN 13 : 2875870157
Total Pages : 615 pages
Book Rating : 4.8/5 (758 download)
Download or read book Proceedings written by Michel Verleysen and published by Presses universitaires de Louvain. This book was released on 2015 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 9811923949
Total Pages : 792 pages
Book Rating : 4.8/5 (119 download)
Download or read book Proceedings of Seventh International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on 2022-07-11 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Brunel University, London, on February 21–24, 2022. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.
Author : Álvaro Herrero
Publisher : Springer
ISBN 13 : 3319197134
Total Pages : 621 pages
Book Rating : 4.3/5 (191 download)
Download or read book International Joint Conference written by Álvaro Herrero and published by Springer. This book was released on 2015-05-31 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the 8th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2015) and the 6th International Conference on European Transnational Education (ICEUTE 2015). These conferences were held in the beautiful and historic city of Burgos (Spain), in June 2015. The aim of the 8th CISIS conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2015 International Program Committee selected 43 papers, written by authors from 16 different countries. In the case of 6th ICEUTE conference, the International Program Committee selected 12 papers (from 7 countries). These papers are published in present conference proceedings, achieving an acceptance rate of about 39%. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the CISIS and ICEUTE conferences would not exist without their help.
Author :
Publisher :
ISBN 13 :
Total Pages : 858 pages
Book Rating : 4.:/5 (931 download)
Download or read book 2014 International Joint Conference on Neural Networks (IJCNN 2014) written by and published by . This book was released on 2014 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Saeed Mian Qaisar
Publisher : Springer Nature
ISBN 13 : 3031232399
Total Pages : 385 pages
Book Rating : 4.0/5 (312 download)
Download or read book Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning written by Saeed Mian Qaisar and published by Springer Nature. This book was released on 2023-03-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutions, research laboratories and biomedical companies. The biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG), Electromyography (EMG), phonocardiogram (PCG), Chronic Obstructive Pulmonary (COP), Electrooculography (EoG), photoplethysmography (PPG), and image modalities such as positron emission tomography (PET), magnetic resonance imaging (MRI) and computerized tomography (CT) are non-invasively acquired, measured, and processed via the biomedical sensors and gadgets. These signals and images represent the activities and conditions of human cardiovascular, neural, vision and cerebral systems. Multi-channel sensing of these signals and images with an appropriate granularity is required for an effective monitoring and diagnosis. It renders a big volume of data and its analysis is not feasible manually. Therefore, automated healthcare systems are in the process of evolution. These systems are mainly based on biomedical signal and image acquisition and sensing, preconditioning, features extraction and classification stages. The contemporary biomedical signal sensing, preconditioning, features extraction and intelligent machine and deep learning-based classification algorithms are described. Each chapter starts with the importance, problem statement and motivation. A self-sufficient description is provided. Therefore, each chapter can be read independently. To the best of the editors’ knowledge, this book is a comprehensive compilation on advances in non-invasive biomedical signal sensing and processing with machine and deep learning. We believe that theories, algorithms, realizations, applications, approaches, and challenges, which are presented in this book will have their impact and contribution in the design and development of modern and effective healthcare systems.
Author : Nikola K. Kasabov
Publisher : Springer
ISBN 13 : 3662577151
Total Pages : 742 pages
Book Rating : 4.6/5 (625 download)
Download or read book Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence written by Nikola K. Kasabov and published by Springer. This book was released on 2018-08-29 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Author : Turner, Jeremy Owen
Publisher : IGI Global
ISBN 13 : 1522504559
Total Pages : 371 pages
Book Rating : 4.5/5 (225 download)
Download or read book Integrating Cognitive Architectures into Virtual Character Design written by Turner, Jeremy Owen and published by IGI Global. This book was released on 2016-06-06 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive architectures represent an umbrella term to describe ways in which the flow of thought can be engineered towards cerebral and behavioral outcomes. Cognitive Architectures are meant to provide top-down guidance, a knowledge base, interactive heuristics and concrete or fuzzy policies for which the virtual character can utilize for intelligent interaction with his/her/its situated virtual environment. Integrating Cognitive Architectures into Virtual Character Design presents emerging research on virtual character artificial intelligence systems and procedures and the integration of cognitive architectures. Emphasizing innovative methodologies for intelligent virtual character integration and design, this publication is an ideal reference source for graduate-level students, researchers, and professionals in the fields of artificial intelligence, gaming, and computer science.
Author : Neha Sharma
Publisher : Springer Nature
ISBN 13 : 9811393648
Total Pages : 494 pages
Book Rating : 4.8/5 (113 download)
Download or read book Data Management, Analytics and Innovation written by Neha Sharma and published by Springer Nature. This book was released on 2019-09-24 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author : Vieri Giuliano Santucci
Publisher : Frontiers Media SA
ISBN 13 : 288963485X
Total Pages : 286 pages
Book Rating : 4.8/5 (896 download)
Download or read book Intrinsically Motivated Open-Ended Learning in Autonomous Robots written by Vieri Giuliano Santucci and published by Frontiers Media SA. This book was released on 2020-02-19 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S. K. Chen, Altair Engineering Inc., California, USA
Publisher : DEStech Publications, Inc
ISBN 13 : 1605951501
Total Pages : 665 pages
Book Rating : 4.6/5 (59 download)
Download or read book 2014 International Conference on Artificial Intelligence and Software Engineering(AISE2014) written by S. K. Chen, Altair Engineering Inc., California, USA and published by DEStech Publications, Inc. This book was released on 2014-02-06 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2014 International Conference on Artificial Intelligence and Software Engineering(AISE2014) aims to provide a forum for accessing to the most up-to-date and authoritative knowledge from both Artificial Intelligence and Software Engineering. AISE2014 features unique mixed topics of AI Algorithms, Data Mining, Knowledge-based Systems, Software Process and so on. The goal of this conference is to bring researchers, engineers, and students to the areas of Artificial Intelligence and Software Engineering to share experiences and original research contributions on those topics. Researchers and practitioners are invited to submit their contributions to AISE2014.
Author : Yinyan Zhang
Publisher : Springer Nature
ISBN 13 : 9811532311
Total Pages : 193 pages
Book Rating : 4.8/5 (115 download)
Download or read book Machine Behavior Design And Analysis written by Yinyan Zhang and published by Springer Nature. This book was released on 2020-03-13 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we present our systematic investigations into consensus in multi-agent systems. We show the design and analysis of various types of consensus protocols from a multi-agent perspective with a focus on min-consensus and its variants. We also discuss second-order and high-order min-consensus. A very interesting topic regarding the link between consensus and path planning is also included. We show that a biased min-consensus protocol can lead to the path planning phenomenon, which means that the complexity of shortest path planning can emerge from a perturbed version of min-consensus protocol, which as a case study may encourage researchers in the field of distributed control to rethink the nature of complexity and the distance between control and intelligence. We also illustrate the design and analysis of consensus protocols for nonlinear multi-agent systems derived from an optimal control formulation, which do not require solving a Hamilton-Jacobi-Bellman (HJB) equation. The book was written in a self-contained format. For each consensus protocol, the performance is verified through simulative examples and analyzed via mathematical derivations, using tools like graph theory and modern control theory. The book’s goal is to provide not only theoretical contributions but also explore underlying intuitions from a methodological perspective.
Author : Tshilidzi Marwala
Publisher : World Scientific
ISBN 13 : 9813271248
Total Pages : 329 pages
Book Rating : 4.8/5 (132 download)
Download or read book Handbook Of Machine Learning - Volume 1: Foundation Of Artificial Intelligence written by Tshilidzi Marwala and published by World Scientific. This book was released on 2018-10-22 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these machine learning techniques and describes the problem of causality. This book should serves as a useful reference for practitioners in artificial intelligence.
Author : Qi Liu
Publisher : Springer Nature
ISBN 13 : 9811584621
Total Pages : 1770 pages
Book Rating : 4.8/5 (115 download)
Download or read book The 10th International Conference on Computer Engineering and Networks written by Qi Liu and published by Springer Nature. This book was released on 2020-10-05 with total page 1770 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a collection of the papers accepted by the CENet2020 – the 10th International Conference on Computer Engineering and Networks held on October 16-18, 2020 in Xi’an, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.
Author : Moamar Sayed-Mouchaweh
Publisher : Springer
ISBN 13 : 331925667X
Total Pages : 82 pages
Book Rating : 4.3/5 (192 download)
Download or read book Learning from Data Streams in Dynamic Environments written by Moamar Sayed-Mouchaweh and published by Springer. This book was released on 2015-12-10 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.
Author : Lalit Garg
Publisher : Springer Nature
ISBN 13 : 9811662657
Total Pages : 157 pages
Book Rating : 4.8/5 (116 download)
Download or read book Artificial Intelligence in Healthcare written by Lalit Garg and published by Springer Nature. This book was released on 2021-10-29 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.
Author : Rana, Dipti P.
Publisher : IGI Global
ISBN 13 : 1799873730
Total Pages : 309 pages
Book Rating : 4.7/5 (998 download)
Download or read book Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance written by Rana, Dipti P. and published by IGI Global. This book was released on 2021-06-04 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health, network, news, online advertisement, social network media, and weather have imbalanced data, which emphasizes the research necessity for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyber bullying identification, disaster events prediction, and more. Machine learning algorithms are based on the heuristic of equally-distributed balanced data and provide the biased result towards the majority data class, which is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof application design. Imbalanced data is multifaceted and demands a new perception using the novelty at sampling approach of data preprocessing, an active learning approach, and a cost perceptive approach to resolve data imbalance. Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The chapters provide theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data and its resolving techniques based on data preprocessing, active learning, and cost perceptive approaches. This book is ideal for data scientists, data analysts, engineers, practitioners, researchers, academicians, and students looking for more information on imbalanced data characteristics and solutions using varied approaches.
