Deep Learning and Parallel Computing Environment for Bioengineering Systems

Deep Learning and Parallel Computing Environment for Bioengineering Systems
Author: Dr. Arun Kumar Sangaiah
Publsiher: Academic Press
Total Pages: 280
Release: 2019-07-26
ISBN 10: 0128172932
ISBN 13: 9780128172933
Language: EN, FR, DE, ES & NL

Deep Learning and Parallel Computing Environment for Bioengineering Systems Book Review:

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

Exam Prep for: Deep Learning and Parallel Computing ...

Exam Prep for: Deep Learning and Parallel Computing ...
Author: Anonim
Publsiher: Anonim
Total Pages: 329
Release:
ISBN 10:
ISBN 13:
Language: EN, FR, DE, ES & NL

Exam Prep for: Deep Learning and Parallel Computing ... Book Review:

Intelligent IoT Systems in Personalized Health Care

Intelligent IoT Systems in Personalized Health Care
Author: Arun Kumar Sangaiah,Subhas Chandra Mukhopadhyay
Publsiher: Academic Press
Total Pages: 360
Release: 2020-12-01
ISBN 10: 0128232048
ISBN 13: 9780128232040
Language: EN, FR, DE, ES & NL

Intelligent IoT Systems in Personalized Health Care Book Review:

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing
Author: Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito
Publsiher: Academic Press
Total Pages: 352
Release: 2018-10-30
ISBN 10: 0128162503
ISBN 13: 9780128162507
Language: EN, FR, DE, ES & NL

Artificial Intelligence in the Age of Neural Networks and Brain Computing Book Review:

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN) Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
Author: Dr. Basant Agarwal,Valentina E. Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma
Publsiher: Academic Press
Total Pages: 367
Release: 2020-01-14
ISBN 10: 0128190620
ISBN 13: 9780128190623
Language: EN, FR, DE, ES & NL

Deep Learning Techniques for Biomedical and Health Informatics Book Review:

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing. Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques
Author: Gonzalez, Fabio A.,Romero, Eduardo
Publsiher: IGI Global
Total Pages: 390
Release: 2009-12-31
ISBN 10: 1605669571
ISBN 13: 9781605669571
Language: EN, FR, DE, ES & NL

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques Book Review:

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
Author: Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Publsiher: IGI Global
Total Pages: 381
Release: 2018-03-31
ISBN 10: 1522547703
ISBN 13: 9781522547709
Language: EN, FR, DE, ES & NL

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems Book Review:

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Social Network Mining, Analysis, and Research Trends: Techniques and Applications

Social Network Mining, Analysis, and Research Trends: Techniques and Applications
Author: Ting, I-Hsien
Publsiher: IGI Global
Total Pages: 501
Release: 2011-12-31
ISBN 10: 1613505140
ISBN 13: 9781613505144
Language: EN, FR, DE, ES & NL

Social Network Mining, Analysis, and Research Trends: Techniques and Applications Book Review:

"This book covers current research trends in the area of social networks analysis and mining, sharing research from experts in the social network analysis and mining communities, as well as practitioners from social science, business, and computer science"--Provided by publisher.

Distributed and Parallel Computing

Distributed and Parallel Computing
Author: Michael Hobbs,International Conference on Algorithms and Architectures for Parallel Processing,Andrzej Goscinski
Publsiher: Springer Science & Business Media
Total Pages: 448
Release: 2005-09-19
ISBN 10: 9783540292357
ISBN 13: 3540292357
Language: EN, FR, DE, ES & NL

Distributed and Parallel Computing Book Review:

This book constitutes the refereed proceedings of the 6th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2005, held in Melbourne, Australia in October 2005. The 27 revised full papers and 25 revised short papers presented were carefully reviewed and selected from 95 submissions. The book covers new architectures of parallel and distributed systems, new system management facilities, and new application algorithms with special focus on two broad areas of parallel and distributed computing, i.e., architectures, algorithms and networks, and systems and applications.

Network and Parallel Computing

Network and Parallel Computing
Author: Xiaoxin Tang,Quan Chen,Pradip Bose,Weiming Zheng,Jean-Luc Gaudiot
Publsiher: Springer Nature
Total Pages: 385
Release: 2019-09-28
ISBN 10: 3030307093
ISBN 13: 9783030307097
Language: EN, FR, DE, ES & NL

Network and Parallel Computing Book Review:

This book constitutes the proceedings of the 16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019, held in Hohhot, China, in August 2019. The 22 full and 11 short papers presented in this volume were carefully reviewed and selected from 107 submissions. They were organized in topical sections named: graph computing; NOC and networks; neural networks; big data and cloud; HPC; emerging topics; memory and file system.

Parallel Computing for Data Science

Parallel Computing for Data Science
Author: Norman Matloff
Publsiher: CRC Press
Total Pages: 328
Release: 2015-06-04
ISBN 10: 1466587032
ISBN 13: 9781466587038
Language: EN, FR, DE, ES & NL

Parallel Computing for Data Science Book Review:

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series,

Parallel Computing for Bioinformatics and Computational Biology

Parallel Computing for Bioinformatics and Computational Biology
Author: Albert Y. Zomaya
Publsiher: John Wiley & Sons
Total Pages: 1000
Release: 2006-04-14
ISBN 10: 0471756490
ISBN 13: 9780471756491
Language: EN, FR, DE, ES & NL

Parallel Computing for Bioinformatics and Computational Biology Book Review:

Discover how to streamline complex bioinformatics applications withparallel computing This publication enables readers to handle more complexbioinformatics applications and larger and richer data sets. As theeditor clearly shows, using powerful parallel computing tools canlead to significant breakthroughs in deciphering genomes,understanding genetic disease, designing customized drug therapies,and understanding evolution. A broad range of bioinformatics applications is covered withdemonstrations on how each one can be parallelized to improveperformance and gain faster rates of computation. Current parallelcomputing techniques and technologies are examined, includingdistributed computing and grid computing. Readers are provided witha mixture of algorithms, experiments, and simulations that providenot only qualitative but also quantitative insights into thedynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology isa contributed work that serves as a repository of case studies,collectively demonstrating how parallel computing streamlinesdifficult problems in bioinformatics and produces better results.Each of the chapters is authored by an established expert in thefield and carefully edited to ensure a consistent approach and highstandard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformaticswill discover how high-performance computing can enable them tohandle more complex data sets, gain deeper insights, and make newdiscoveries.

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing
Author: Sheng Wen,Albert Zomaya,Laurence T. Yang
Publsiher: Springer Nature
Total Pages: 715
Release: 2020-01-21
ISBN 10: 303038991X
ISBN 13: 9783030389918
Language: EN, FR, DE, ES & NL

Algorithms and Architectures for Parallel Processing Book Review:

The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation.

Stanford Bulletin

Stanford Bulletin
Author: Anonim
Publsiher: Anonim
Total Pages: 329
Release: 2006
ISBN 10:
ISBN 13: STANFORD:36105119778335
Language: EN, FR, DE, ES & NL

Stanford Bulletin Book Review:

Programming Collective Intelligence

Programming Collective Intelligence
Author: Toby Segaran
Publsiher: "O'Reilly Media, Inc."
Total Pages: 362
Release: 2007-08-16
ISBN 10: 0596550685
ISBN 13: 9780596550684
Language: EN, FR, DE, ES & NL

Programming Collective Intelligence Book Review:

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)
Author: Aboul Ella Hassanien,Ahmad Taher Azar,Tarek Gaber,Roheet Bhatnagar,Mohamed F. Tolba
Publsiher: Springer
Total Pages: 960
Release: 2019-03-16
ISBN 10: 3030141187
ISBN 13: 9783030141189
Language: EN, FR, DE, ES & NL

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) Book Review:

This book presents the peer-reviewed proceedings of the 4th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2019), held in Cairo, Egypt, on March 28–30, 2019, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover the latest research on machine learning, deep learning, biomedical engineering, control and chaotic systems, text mining, summarization and language identification, machine learning in image processing, renewable energy, cyber security, and intelligence swarms and optimization.

PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS

PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS
Author: BASU, S. K.
Publsiher: PHI Learning Pvt. Ltd.
Total Pages: 400
Release: 2016-01-02
ISBN 10: 8120352122
ISBN 13: 9788120352124
Language: EN, FR, DE, ES & NL

PARALLEL AND DISTRIBUTED COMPUTING : ARCHITECTURES AND ALGORITHMS Book Review:

This concise text is designed to present the recent advances in parallel and distributed architectures and algorithms within an integrated framework. Beginning with an introduction to the basic concepts, the book goes on discussing the basic methods of parallelism exploitation in computation through vector processing, super scalar and VLIW processing, array processing, associative processing, systolic algorithms, and dataflow computation. After introducing interconnection networks, it discusses parallel algorithms for sorting, Fourier transform, matrix algebra, and graph theory. The second part focuses on basics and selected theoretical issues of distributed processing. Architectures and algorithms have been dealt in an integrated way throughout the book. The last chapter focuses on the different paradigms and issues of high performance computing making the reading more interesting. This book is meant for the senior level undergraduate and postgraduate students of computer science and engineering, and information technology. The book is also useful for the postgraduate students of computer science and computer application.

Advances in Computational Intelligence

Advances in Computational Intelligence
Author: Ignacio Rojas,Gonzalo Joya,Andreu Catala
Publsiher: Springer
Total Pages: 926
Release: 2019-07-15
ISBN 10: 3030205185
ISBN 13: 9783030205188
Language: EN, FR, DE, ES & NL

Advances in Computational Intelligence Book Review:

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

Graduate Studies 1994-1995

Graduate Studies 1994-1995
Author: Brenda Radcliffe,Claire Waring
Publsiher: Anonim
Total Pages: 1355
Release: 1994
ISBN 10: 9781853248771
ISBN 13: 1853248770
Language: EN, FR, DE, ES & NL

Graduate Studies 1994-1995 Book Review:

New Trends in Computational Vision and Bio-inspired Computing

New Trends in Computational Vision and Bio-inspired Computing
Author: S. Smys
Publsiher: Springer Nature
Total Pages: 329
Release:
ISBN 10: 3030418626
ISBN 13: 9783030418625
Language: EN, FR, DE, ES & NL

New Trends in Computational Vision and Bio-inspired Computing Book Review: