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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

2022-03-11 Computers
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Release : 2022-03-11
Genre : Computers
Kind : eBook
Book Rating : 523/5 ( reviews)

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Book Synopsis Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms by : Milutinovi?, Veljko

Download or read book Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms written by Milutinovi?, Veljko. This book was released on 2022-03-11. Available in PDF, EPUB and Kindle. Book excerpt: Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

DataFlow Supercomputing Essentials

2017-12-11 Computers
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Release : 2017-12-11
Genre : Computers
Kind : eBook
Book Rating : 256/5 ( reviews)

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Book Synopsis DataFlow Supercomputing Essentials by : Veljko Milutinovic

Download or read book DataFlow Supercomputing Essentials written by Veljko Milutinovic. This book was released on 2017-12-11. Available in PDF, EPUB and Kindle. Book excerpt: This illuminating text/reference reviews the fundamentals of programming for effective DataFlow computing. The DataFlow paradigm enables considerable increases in speed and reductions in power consumption for supercomputing processes, yet the programming model requires a distinctly different approach. The algorithms and examples showcased in this book will help the reader to develop their understanding of the advantages and unique features of this methodology. This work serves as a companion title to DataFlow Supercomputing Essentials: Research, Development and Education, which analyzes the latest research in this area, and the training resources available. Topics and features: presents an implementation of Neural Networks using the DataFlow paradigm, as an alternative to the traditional ControlFlow approach; discusses a solution to the three-dimensional Poisson equation, using the Fourier method and DataFlow technology; examines how the performance of the Binary Search algorithm can be improved through implementation on a DataFlow architecture; reviews the different way of thinking required to best configure the DataFlow engines for the processing of data in space flowing through the devices; highlights how the DataFlow approach can efficiently support applications in big data analytics, deep learning, and the Internet of Things. This indispensable volume will benefit all researchers interested in supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be an invaluable resource.

Emerging Technologies for Innovation Management in the Software Industry

2022-05-20 Computers
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Release : 2022-05-20
Genre : Computers
Kind : eBook
Book Rating : 619/5 ( reviews)

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Book Synopsis Emerging Technologies for Innovation Management in the Software Industry by : Gupta, Varun

Download or read book Emerging Technologies for Innovation Management in the Software Industry written by Gupta, Varun. This book was released on 2022-05-20. Available in PDF, EPUB and Kindle. Book excerpt: Innovation is the key to maintain competitive advantage. Innovation in products, processes, and business models help companies to provide economic value to their customers. Identifying the innovative ideas, implementing those ideas, and absorbing them in the market requires investing many resources that could incur large costs. Technology encourages companies to foster innovation to remain competitive in the marketplace. Emerging Technologies for Innovation Management in the Software Industry serves as a resource for technology absorption in companies supporting innovation. It highlights the role of technology to assist software companies—especially small start-ups—to innovate their products, processes, and business models. This book provides the necessary guidelines of which tools to use and under what situations. Covering topics such as risk management, prioritization approaches, and digitally-enabled innovation processes, this premier reference source is an ideal resource for entrepreneurs, software developers, software managers, business leaders, engineers, students and faculty of higher education, researchers, and academicians.

New Approaches to Data Analytics and Internet of Things Through Digital Twin

2022-09-30 Computers
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Release : 2022-09-30
Genre : Computers
Kind : eBook
Book Rating : 245/5 ( reviews)

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Book Synopsis New Approaches to Data Analytics and Internet of Things Through Digital Twin by : Karthikeyan, P.

Download or read book New Approaches to Data Analytics and Internet of Things Through Digital Twin written by Karthikeyan, P.. This book was released on 2022-09-30. Available in PDF, EPUB and Kindle. Book excerpt: Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Futuristic Trends for Sustainable Development and Sustainable Ecosystems

2022-06-24 Business & Economics
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Release : 2022-06-24
Genre : Business & Economics
Kind : eBook
Book Rating : 272/5 ( reviews)

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Book Synopsis Futuristic Trends for Sustainable Development and Sustainable Ecosystems by : Ortiz-Rodriguez, Fernando

Download or read book Futuristic Trends for Sustainable Development and Sustainable Ecosystems written by Ortiz-Rodriguez, Fernando. This book was released on 2022-06-24. Available in PDF, EPUB and Kindle. Book excerpt: A key focus in recent years has been on sustainable development and promoting environmentally conscious practices. In today’s rapidly evolving technological world, it is important to consider how technology can be applied to solve problems across disciplines and fields in these areas. Further study is needed in order to understand how technology can be applied to sustainability and the best practices, considerations, and challenges that follow. Futuristic Trends for Sustainable Development and Sustainable Ecosystems discusses recent advances and innovative research in the area of information and communication technology for sustainable development and covers practices in several artificial intelligence fields such as knowledge representation and reasoning, natural language processing, machine learning, and the semantic web. Covering topics such as blockchain, deep learning, and renewable energy, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, instructors, and students.

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