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Ieee Eais 2016
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Book Synopsis 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). by : Bruno Sielly Jales Costa
Download or read book 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). written by Bruno Sielly Jales Costa and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) by : IEEE Staff
Download or read book 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) written by IEEE Staff and published by . This book was released on 2016-05-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolving Systems, Adaptive Systems, Intelligent Systems, Machine Leaning, Artificial Intelligence, Applications
Author :Institute of Electrical and Electronics Engineers. Conference on Evolving and Adaptive Intelligent Systems Publisher : ISBN 13 : Total Pages :29 pages Book Rating :4.:/5 (958 download)
Book Synopsis IEEE EAIS 2016 by : Institute of Electrical and Electronics Engineers. Conference on Evolving and Adaptive Intelligent Systems
Download or read book IEEE EAIS 2016 written by Institute of Electrical and Electronics Engineers. Conference on Evolving and Adaptive Intelligent Systems and published by . This book was released on 2016 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS 2015) by :
Download or read book 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS 2015) written by and published by . This book was released on 2015 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Empirical Approach to Machine Learning by : Plamen P. Angelov
Download or read book Empirical Approach to Machine Learning written by Plamen P. Angelov and published by Springer. This book was released on 2018-10-17 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.”
Book Synopsis Efficient adaptive query processing on large database systems available in the cloud environment by : Clayton Maciel Costa
Download or read book Efficient adaptive query processing on large database systems available in the cloud environment written by Clayton Maciel Costa and published by Simplíssimo. This book was released on 2020-09-15 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, many companies are migrating their applications and data to cloud service providers, mainly because of their ability to answer quickly to business requirements. Thereby, the performance is an important requirement for most customers when they wish to migrate their applications to the cloud. Therefore, in cloud environments, resources should be acquired and released automatically and quickly at runtime. Moreover, the users and service providers expect to get answers in time to ensure the service SLA (Service Level Agreement). Consequently, ensuring the QoS (Quality of Service) is a great challenge and it increases when we have large amounts of data to be manipulated in this environment. To resolve this kind of problems, several researches have been focused on shorter execution time using adaptive query processing and/or prediction of resources based on current system status. However, they present important limitations. For example, most of these works does not use monitoring during query execution and/or presents intrusive solutions, i.e. applied to the particular context. The aim of this book is to present the development of new solutions/strategies to efficient adaptive query processing on large databases available in a cloud environment. It must integrate adaptive re-optimization at query runtime and their costs are based on the SRT (Service Response Time – SLA QoS performance parameter). Finally, the proposed solution will be evaluated on large scale with large volume of data, machines and queries in a cloud computing infrastructure. Finally, this work also proposes a new model to estimate the SRT for different request types (database access requests). This model will allow the cloud service provider and its customers to establish an appropriate SLA relative to the expected performance of the services available in the cloud.
Book Synopsis Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence by : Rawat, Romil
Download or read book Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modelling and Implementation of Complex Systems by : Salim Chikhi
Download or read book Modelling and Implementation of Complex Systems written by Salim Chikhi and published by Springer. This book was released on 2018-11-29 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Themes in Alternative Investments by : Shaen Corbet
Download or read book Themes in Alternative Investments written by Shaen Corbet and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-07-22 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era where traditional investment paradigms are being constantly redefined by technological innovation and the global push towards sustainability, Themes in Alternative Investments emerges as a seminal volume designed to guide investors, finance professionals, and scholars through the complex terrain of non-traditional financial vehicles. This volume presents a thorough exploration of the interconnections between cutting-edge technology, dynamic market forces, and the intricate regulatory landscapes shaping the future of finance. With a spotlight on burgeoning investment mediums such as cryptocurrencies, non-fungible tokens (NFTs), private equity, and fine wine, it provides a critical analysis of the burgeoning domain of sustainable finance solutions amidst the digital revolution. The contributors to this volume undertake a meticulous examination of alternative investments, presenting a nuanced narrative that spans from the infamous Tuna Bonds scandal to the high-profile downfalls of Silicon Valley Bank and the FTX exchange. This narrative delves into the profound implications of technological advancements on market infrastructures, scrutinising the shifting contours of financial fraud and the paramount importance of robust regulatory frameworks in upholding market integrity. Themes in Alternative Investments not only dissects the allure and pitfalls of these emergent investment avenues but also casts a critical eye on the role of artificial intelligence in reshaping investment strategies and market operations. The discussion transcends the mere identification of opportunities and challenges, offering a deep dive into the mechanisms by which technology and AI are becoming pivotal in the detection and prevention of market manipulation and fraud. As the landscape of alternative investments expands, driven by investor appetite for innovation and higher yields, this volume serves as an indispensable resource. It equips stakeholders with the analytical tools and insights needed to discern the complexities of these investment strategies, navigate their risks, and harness the potential of financial markets evolving under the influence of digital transformation and sustainability imperatives.
Book Synopsis Sequential Intelligent Dynamic System Modeling and Control by : Hai-Jun Rong
Download or read book Sequential Intelligent Dynamic System Modeling and Control written by Hai-Jun Rong and published by Springer Nature. This book was released on with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems by : Moamar Sayed-Mouchaweh
Download or read book Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems written by Moamar Sayed-Mouchaweh and published by Springer. This book was released on 2018-03-08 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-physical systems (CPS) are characterized as a combination of physical (physical plant, process, network) and cyber (software, algorithm, computation) components whose operations are monitored, controlled, coordinated, and integrated by a computing and communicating core. The interaction between both physical and cyber components requires tools allowing analyzing and modeling both the discrete and continuous dynamics. Therefore, many CPS can be modeled as hybrid dynamic systems in order to take into account both discrete and continuous behaviors as well as the interactions between them. Guaranteeing the security and safety of CPS is a challenging task because of the inherent interconnected and heterogeneous combination of behaviors (cyber/physical, discrete/continuous) in these systems. This book presents recent and advanced approaches and tech-niques that address the complex problem of analyzing the diagnosability property of cyber physical systems and ensuring their security and safety against faults and attacks. The CPS are modeled as hybrid dynamic systems using different model-based and data-driven approaches in different application domains (electric transmission networks, wireless communication networks, intrusions in industrial control systems, intrusions in production systems, wind farms etc.). These approaches handle the problem of ensuring the security of CPS in presence of attacks and verifying their diagnosability in presence of different kinds of uncertainty (uncertainty related to the event occurrences, to their order of occurrence, to their value etc.).
Book Synopsis The 2018 Yearbook of the Digital Ethics Lab by : Carl Öhman
Download or read book The 2018 Yearbook of the Digital Ethics Lab written by Carl Öhman and published by Springer Nature. This book was released on 2019-10-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores a wide range of topics in digital ethics. It features 11 chapters that analyze the opportunities and the ethical challenges posed by digital innovation, delineate new approaches to solve them, and offer concrete guidance to harness the potential for good of digital technologies. The contributors are all members of the Digital Ethics Lab (the DELab), a research environment that draws on a wide range of academic traditions. The chapters highlight the inherently multidisciplinary nature of the subject, which cannot be separated from the epistemological foundations of the technologies themselves or the political implications of the requisite reforms. Coverage illustrates the importance of expert knowledge in the project of designing new reforms and political systems for the digital age. The contributions also show how this task requires a deep self-understanding of who we are as individuals and as a species. The questions raised here have ancient -- perhaps even timeless -- roots. The phenomena they address may be new. But, the contributors examine the fundamental concepts that undergird them: good and evil, justice and truth. Indeed, every epoch has its great challenges. The role of philosophy must be to redefine the meaning of these concepts in light of the particular challenges it faces. This is true also for the digital age. This book takes an important step towards redefining and re-implementing fundamental ethical concepts to this new era.
Book Synopsis Engineering Applications of Neural Networks by : Elias Pimenidis
Download or read book Engineering Applications of Neural Networks written by Elias Pimenidis and published by Springer. This book was released on 2018-08-20 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2018, held in Bristol, UK, in September 2018. The 16 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on activity recognition, deep learning, extreme learning machine, machine learning applications, predictive models, fuzzy and recommender systems, recurrent neural networks, spiking neural networks.
Book Synopsis Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence by : Shuhong Zhao
Download or read book Principle of Criminal Imputation for Negligence Crime Involving Artificial Intelligence written by Shuhong Zhao and published by Springer Nature. This book was released on with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the International Conference on Data Engineering and Communication Technology by : Suresh Chandra Satapathy
Download or read book Proceedings of the International Conference on Data Engineering and Communication Technology written by Suresh Chandra Satapathy and published by Springer. This book was released on 2016-08-24 with total page 805 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume book contains research work presented at the First International Conference on Data Engineering and Communication Technology (ICDECT) held during March 10–11, 2016 at Lavasa, Pune, Maharashtra, India. The book discusses recent research technologies and applications in the field of Computer Science, Electrical and Electronics Engineering. The aim of the Proceedings is to provide cutting-edge developments taking place in the field data engineering and communication technologies which will assist the researchers and practitioners from both academia as well as industry to advance their field of study.
Book Synopsis Proceedings of International Conference on Computational Intelligence and Data Engineering by : Nabendu Chaki
Download or read book Proceedings of International Conference on Computational Intelligence and Data Engineering written by Nabendu Chaki and published by Springer Nature. This book was released on 2022-02-28 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).
Book Synopsis Statistical Machine Learning for Human Behaviour Analysis by : Thomas Moeslund
Download or read book Statistical Machine Learning for Human Behaviour Analysis written by Thomas Moeslund and published by MDPI. This book was released on 2020-06-17 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.
