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Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 53,9 Mb
Release : 2016-05-23
Category : Electronic
ISBN : 1509025847
Evolving Systems, Adaptive Systems, Intelligent Systems, Machine Leaning, Artificial Intelligence, Applications
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 44,7 Mb
Release : 2018-05-25
Category : Electronic
ISBN : 1538613778
To provide a working and friendly atmosphere and to become a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 48,7 Mb
Release : 2015-12-01
Category : Electronic
ISBN : 1467366994
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 55,7 Mb
Release : 2022-05-25
Category : Electronic
ISBN : 1665437073
2022 IEEE EAIS will provide a friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems Over the past decade, this area has emerged to play an important role on a broad international level in today s real world applications, especially those with high complexity and dynamics change Its embedded modeling and learning methodologies are able to cope with real time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 54,9 Mb
Release : 2017-05-31
Category : Electronic
ISBN : 1509064451
Evolving fuzzy systems, evolving neural networks, classification, clustering, pattern recognition, prediction, big data, data drift, complexity reduction, control, autonomous learning systems, knowledge discovery
Author : IEEE Staff,Institute of Electrical and Electronics Engineers (New York, NY)
Publisher : Unknown
Page : 186 pages
File Size : 47,6 Mb
Release : 2014-06-02
Category : Electronic
ISBN : 1479933481
The emerging area of Evolving Intelligent Systems (EIS) targets non stationary processes by developing novel evolving learning methods and computationally efficient algorithms for real time applications EAIS 2014 will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations, and the outline of open important future challenges in the area in the wide field of EIS and its application and implementation in on line processes of real world domains
Author : Salim Chikhi,Abdelmalek Amine,Allaoua Chaoui,Djamel Eddine Saidouni
Publisher : Springer
Page : 354 pages
File Size : 43,9 Mb
Release : 2018-11-29
Category : Technology & Engineering
ISBN : 9783030054816
This book presents the proceedings of the fifth International Symposium on Modelling and Implementation of Complex Systems (MISC 2018). The event was held in Laghouat, Algeria, on December 16–18, 2018. The 25 papers gathered here have been selected from 109 submissions using a strict peer-review process, and address a range of topics concerning the theory and applications of networking and distributed computing, including: cloud computing and the IoT, metaheuristics and optimization, computational intelligence, software engineering and formal methods.
Author : Plamen Parvanov Angelov
Publisher : World Scientific
Page : 1057 pages
File Size : 44,8 Mb
Release : 2022-06-29
Category : Computers
ISBN : 9789811247330
The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)
Author : Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong
Publisher : Springer Nature
Page : 817 pages
File Size : 42,5 Mb
Release : 2021-04-16
Category : Technology & Engineering
ISBN : 9783030730505
This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.
Author : Plamen P. Angelov,Xiaowei Gu
Publisher : Springer
Page : 423 pages
File Size : 47,5 Mb
Release : 2018-10-17
Category : Technology & Engineering
ISBN : 9783030023843
This book provides a ‘one-stop source’ for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today’s data-driven world. After an introduction to the fundamentals, the book discusses in depth anomaly detection, data partitioning and clustering, as well as classification and predictors. It describes classifiers of zero and first order, and the new, highly efficient and transparent deep rule-based classifiers, particularly highlighting their applications to image processing. Local optimality and stability conditions for the methods presented are formally derived and stated, while the software is also provided as supplemental, open-source material. The book will greatly benefit postgraduate students, researchers and practitioners dealing with advanced data processing, applied mathematicians, software developers of agent-oriented systems, and developers of embedded and real-time systems. It can also be used as a textbook for postgraduate coursework; for this purpose, a standalone set of lecture notes and corresponding lab session notes are available on the same website as the code. Dimitar Filev, Henry Ford Technical Fellow, Ford Motor Company, USA, and Member of the National Academy of Engineering, USA: “The book Empirical Approach to Machine Learning opens new horizons to automated and efficient data processing.” Paul J. Werbos, Inventor of the back-propagation method, USA: “I owe great thanks to Professor Plamen Angelov for making this important material available to the community just as I see great practical needs for it, in the new area of making real sense of high-speed data from the brain.” Chin-Teng Lin, Distinguished Professor at University of Technology Sydney, Australia: “This new book will set up a milestone for the modern intelligent systems.” Edward Tunstel, President of IEEE Systems, Man, Cybernetics Society, USA: “Empirical Approach to Machine Learning provides an insightful and visionary boost of progress in the evolution of computational learning capabilities yielding interpretable and transparent implementations.”
Author : Yaxin Bi,Supriya Kapoor,Rahul Bhatia
Publisher : Springer
Page : 1149 pages
File Size : 45,9 Mb
Release : 2017-08-19
Category : Technology & Engineering
ISBN : 9783319569949
These proceedings of the SAI Intelligent Systems Conference 2016 (IntelliSys 2016) offer a remarkable collection of chapters on a wide range of topics in intelligent systems, artificial intelligence and their applications to the real world. Authors hailing from 56 countries on 5 continents submitted 404 papers to the conference, attesting to the global importance of the conference’s themes. After being reviewed, 222 papers were accepted for presentation, and 168 were ultimately selected for these proceedings. Each has been reviewed on the basis of its originality, novelty and rigorousness. The papers not only present state-of-the-art methods and valuable experience from researchers in the related research areas; they also outline the field’s future development.
Author : Rawat, Romil,Telang, Shrikant,William, P.,Kaur, Upinder,C.U., Om Kumar
Publisher : IGI Global
Page : 300 pages
File Size : 53,6 Mb
Release : 2022-05-13
Category : Computers
ISBN : 9781668439449
Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.
Author : Shuhong Zhao
Publisher : Springer Nature
Page : 123 pages
File Size : 49,6 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9789819707225
Author : Peter Korošec,Nouredine Melab,El-Ghazali Talbi
Publisher : Springer
Page : 333 pages
File Size : 42,8 Mb
Release : 2018-05-11
Category : Computers
ISBN : 9783319916415
This book constitutes the thoroughly refereed revised selected papers of the 10th International Conference on Bioinspired Optimization Models and Their Applications, BIOMA 2018, held in Paris, France, in May 2018. The 27 revised full papers were selected from 53 submissions and present papers in all aspects of bioinspired optimization research such as new algorithmic developments, high-impact applications, new research challenges, theoretical contributions, implementation issues, and experimental studies.
Author : Josh Cowls,Jessica Morley
Publisher : Springer Nature
Page : 230 pages
File Size : 42,9 Mb
Release : 2021-10-30
Category : Philosophy
ISBN : 9783030800833
This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2020 edition of the yearbook presents research on the following topics: governing digital health, visualising governance, the digital afterlife, the possibility of an AI winter, the limits of design theory in philosophy, cyberwarfare, ethics of online behaviour change, governance of AI, trust in AI, and Emotional Self-Awareness as a Digital Literacy. This book appeals to students, researchers and professionals in the field.
