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Parallel And Distributed Computational Intelligence
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Author :Francisco Fernández de Vega Publisher :Springer Science & Business Media ISBN 13 :3642106749 Total Pages :347 pages Book Rating :4.6/5 (421 download)
Book Synopsis Parallel and Distributed Computational Intelligence by : Francisco Fernández de Vega
Download or read book Parallel and Distributed Computational Intelligence written by Francisco Fernández de Vega and published by Springer Science & Business Media. This book was released on 2010-09-18 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a global snapshot of parallel and distributed computational intelligence today, this volume covers ongoing issues as well as recent exploratory work. Topics discussed include GPUs, Clusters, Grids, volunteer computing, p2p networks and more.
Book Synopsis Parallel and Distributed Computation: Numerical Methods by : Dimitri Bertsekas
Download or read book Parallel and Distributed Computation: Numerical Methods written by Dimitri Bertsekas and published by Athena Scientific. This book was released on 2015-03-01 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.
Book Synopsis Advances in Distributed and Parallel Knowledge Discovery by : Hillol Kargupta
Download or read book Advances in Distributed and Parallel Knowledge Discovery written by Hillol Kargupta and published by AAAI Press. This book was released on 2000 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. The emergence of network-based distributed computing environments has introduced an important new dimension to this problem--distributed sources of data. Traditional centralized KDD typically requires central aggregation of distributed data, which may not always be feasible because of limited network bandwidth, security concerns, scalability problems, and other practical issues. Distributed knowledge discovery (DKD) works with the merger of communication and computation by analyzing data in a distributed fashion. This technology is particularly useful for large heterogeneous distributed environments such as the Internet, intranets, mobile computing environments, and sensor-networks.When the data sets are large, scaling up the speed of the KDD process is crucial. Parallel knowledge discovery (PKD) techniques addresses this problem by using high-performance multiprocessor machines. This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Contributors Rakesh Agrawal, Khaled AlSabti, Stuart Bailey, Philip Chan, David Cheung, Vincent Cho, Joydeep Ghosh, Robert Grossman, Yi-ke Guo, John Hale, John Hall, Daryl Hershberger, Ching-Tien Ho, Erik Johnson, Chris Jones, Chandrika Kamath, Hillol Kargupta, Charles Lo, Balinder Malhi, Ron Musick, Vincent Ng, Byung-Hoon Park, Srinivasan Parthasarathy, Andreas Prodromidis, Foster Provost, Jian Pun, Ashok Ramu, Sanjay Ranka, Mahesh Sreenivas, Salvatore Stolfo, Ramesh Subramonian, Janjao Sutiwaraphun, Kagan Tummer, Andrei Turinsky, Beat Wüthrich, Mohammed Zaki, Joshua Zhang
Book Synopsis Advances in Edge Computing: Massive Parallel Processing and Applications by : F. Xhafa
Download or read book Advances in Edge Computing: Massive Parallel Processing and Applications written by F. Xhafa and published by IOS Press. This book was released on 2020-03-10 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science, engineering, business and everyday life, it also presents challenges such as an architectural bottleneck – with a very large number of IoT devices connected to a rather small number of servers in Cloud data centers – and the problem of data deluge. Edge computing aims to alleviate the computational burden of the IoT for the Cloud by pushing some of the computations and logics of processing from the Cloud to the Edge of the Internet. It is becoming commonplace to allocate tasks and applications such as data filtering, classification, semantic enrichment and data aggregation to this layer, but to prevent this new layer from itself becoming another bottleneck for the whole computing stack from IoT to the Cloud, the Edge computing layer needs to be capable of implementing massively parallel and distributed algorithms efficiently. This book, Advances in Edge Computing: Massive Parallel Processing and Applications, addresses these challenges in 11 chapters. Subjects covered include: Fog storage software architecture; IoT-based crowdsourcing; the industrial Internet of Things; privacy issues; smart home management in the Cloud and the Fog; and a cloud robotic solution to assist medical applications. Providing an overview of developments in the field, the book will be of interest to all those working with the Internet of Things and Edge computing.
Book Synopsis Deep Learning and Parallel Computing Environment for Bioengineering Systems by : Arun Kumar Sangaiah
Download or read book Deep Learning and Parallel Computing Environment for Bioengineering Systems written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2019-07-26 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data
Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by : Roger Lee
Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing written by Roger Lee and published by Springer. This book was released on 2016-05-05 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents scientific results of the 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2016) which was held on May 30 - June 1, 2016 in Shanghai, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.
Author :Roger Lee (Editor of Emotional artificial intelligence and metaverse) Publisher :Springer Nature ISBN 13 :3031563883 Total Pages :178 pages Book Rating :4.0/5 (315 download)
Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing : Volume 17 by : Roger Lee (Editor of Emotional artificial intelligence and metaverse)
Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing : Volume 17 written by Roger Lee (Editor of Emotional artificial intelligence and metaverse) and published by Springer Nature. This book was released on with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.
Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2022-Winter by : Roger Lee
Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2022-Winter written by Roger Lee and published by Springer Nature. This book was released on 2023-05-04 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents scientific results of the 24th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer) which was held on December 7–9, 2022, at Taichung, Taiwan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The conference organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the most promising papers are then published in this Springer (SCI) book and not the conference proceedings.
Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015 by : Roger Lee
Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015 written by Roger Lee and published by Springer. This book was released on 2015-10-15 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents scientific results of the 16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2015) which was held on June 1 – 3, 2015 in Takamatsu, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.
Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010 by : Roger Lee
Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010 written by Roger Lee and published by Springer Science & Business Media. This book was released on 2010-10-01 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: th The purpose of the 11 Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2010) held on June 9 – 11, 2010 in London, United Kingdom was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 15 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In Chapter 1, Cai Luyuan et al. Present a new method of shape decomposition based on a refined morphological shape decomposition process. In Chapter 2, Kazunori Iwata et al. propose a method for reducing the margin of error in effort and error prediction models for embedded software development projects using artificial neural networks (ANNs). In Chapter 3, Viliam Šimko et al. describe a model-driven tool that allows system code to be generated from use-cases in plain English. In Chapter 4, Abir Smiti and Zied Elouedi propose a Case Base Maintenance (CBM) method that uses machine learning techniques to preserve the maximum competence of a system. In Chapter 5, Shagufta Henna and Thomas Erlebach provide a simulation based analysis of some widely used broadcasting schemes within mobile ad hoc networks (MANETs) and propose adaptive extensions to an existing broadcasting algorithm.
Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2011 by : Roger Lee
Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2011 written by Roger Lee and published by Springer Science & Business Media. This book was released on 2011-06-12 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the 12th Conference Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2011) held on July 6-8, 2011 in Sydney, Australia was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected 14 outstanding papers from SNPD 2011, all of which you will find in this volume of Springer’s Studies in Computational Intelligence.
Book Synopsis Scaling Up Machine Learning by : Ron Bekkerman
Download or read book Scaling Up Machine Learning written by Ron Bekkerman and published by Cambridge University Press. This book was released on 2012 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Book Synopsis Intelligent Distributed Computing XIII by : Igor Kotenko
Download or read book Intelligent Distributed Computing XIII written by Igor Kotenko and published by Springer Nature. This book was released on 2019-10-01 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers research contributions on recent advances in intelligent and distributed computing. A major focus is placed on new techniques and applications for several highlydemanded research directions: Internet of Things, Cloud Computing and Big Data, Data Mining and Machine Learning, Multi-agent and Service-Based Distributed Systems, Distributed Algorithms and Optimization, Modeling Operational Processes, Social Network Analysis and Inappropriate Content Counteraction, Cyber-Physical Security and Safety, Intelligent Distributed Decision Support Systems, Intelligent Human-Machine Interfaces, VisualAnalytics and others. The book represents the peer-reviewed proceedings of the 13thInternational Symposium on Intelligent Distributed Computing (IDC 2019), which was held in St. Petersburg, Russia, from October 7 to 9, 2019.
Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2012 by : Roger Lee
Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2012 written by Roger Lee and published by Springer. This book was released on 2012-08-14 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the 13th International Conference on Computer and Information Science (SNPD 2012) held on August 8-10, 2012 in Kyoto, Japan was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 17 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. The conference organizers selected 17 outstanding papers from SNPD 2012, all of which you will find in this volume of Springer’s Studies in Computational Intelligence.
Book Synopsis Readings in Distributed Artificial Intelligence by : Alan H. Bond
Download or read book Readings in Distributed Artificial Intelligence written by Alan H. Bond and published by Morgan Kaufmann. This book was released on 2014-06-05 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.
Book Synopsis Parallel and Distributed Computing, Applications and Technologies by : Jong Hyuk Park
Download or read book Parallel and Distributed Computing, Applications and Technologies written by Jong Hyuk Park and published by Springer. This book was released on 2019-02-07 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on CParallel and Distributed Computing, Applications and Technologies, PDCAT 2018, held in Jeju Island, South Korea, in August 2018. The 35 revised full papers presented along with the 14 short papers and were carefully reviewed and selected from 150 submissions. The papers of this volume are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication systems.
Book Synopsis Parallel and Distributed Computing: Applications and Technologies by : Kim-Meow Liew
Download or read book Parallel and Distributed Computing: Applications and Technologies written by Kim-Meow Liew and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
