Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition Emerging Research And Opportunities


Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition Emerging Research And Opportunities
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Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition Emerging Research And Opportunities


Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition Emerging Research And Opportunities
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Author : Wu, Jiann-Ming
language : en
Publisher: IGI Global
Release Date : 2020-04-17

Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition Emerging Research And Opportunities written by Wu, Jiann-Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Computers categories.


Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image classification. As these technologies continue to advance, professionals have begun translating this intelligent programming language into mobile applications for devices. Programmers and web developers are in need of significant research on how to successfully develop pattern recognition applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on MatConvNet deep learning. Featuring research on topics such as medical image diagnosis, convolutional neural networks, and character classification, this book is ideally designed for programmers, developers, researchers, practitioners, engineers, academicians, students, scientists, and educators seeking coverage on the specific development of iOS mobile applications using pattern recognition strategies.



Industrial Internet Of Things And Cyber Physical Systems Transforming The Conventional To Digital


Industrial Internet Of Things And Cyber Physical Systems Transforming The Conventional To Digital
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Author : Kumar, Pardeep
language : en
Publisher: IGI Global
Release Date : 2020-05-22

Industrial Internet Of Things And Cyber Physical Systems Transforming The Conventional To Digital written by Kumar, Pardeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Computers categories.


With the help of artificial intelligence, machine learning, and big data analytics, the internet of things (IoT) is creating partnerships within industry where machines, processes, and humans communicate with one another. As this radically changes traditional industrial operations, this results in the rapid design, cheap manufacture, and effective customization of products. Answering the growing demand of customers and their preferences has become a challenge for such partnerships. Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital is a collection of innovative research that discusses development, implementation, and business impacts of IoT technologies on sustainable societal development and improved life quality. Highlighting a wide range of topics such as green technologies, wireless networks, and IoT policy, this book is ideally designed for technology developers, entrepreneurs, industrialists, programmers, engineers, technicians, researchers, academicians, and students.



Handbook Of Research On Engineering Innovations And Technology Management In Organizations


Handbook Of Research On Engineering Innovations And Technology Management In Organizations
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Author : Gaur, Loveleen
language : en
Publisher: IGI Global
Release Date : 2020-04-17

Handbook Of Research On Engineering Innovations And Technology Management In Organizations written by Gaur, Loveleen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Technology & Engineering categories.


As technology weaves itself more tightly into everyday life, socio-economic development has become intricately tied to these ever-evolving innovations. Technology management is now an integral element of sound business practices, and this revolution has opened up many opportunities for global communication. However, such swift change warrants greater research that can foresee and possibly prevent future complications within and between organizations. The Handbook of Research on Engineering Innovations and Technology Management in Organizations is a collection of innovative research that explores global concerns in the applications of technology to business and the explosive growth that resulted. Highlighting a wide range of topics such as cyber security, legal practice, and artificial intelligence, this book is ideally designed for engineers, manufacturers, technology managers, technology developers, IT specialists, productivity consultants, executives, lawyers, programmers, managers, policymakers, academicians, researchers, and students.



Deep Learning For Image Processing Applications


Deep Learning For Image Processing Applications
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Author : D.J. Hemanth
language : en
Publisher: IOS Press
Release Date : 2017-12

Deep Learning For Image Processing Applications written by D.J. Hemanth and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12 with Computers categories.


Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.



Deep Learning And Neural Networks


Deep Learning And Neural Networks
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Author : Information Resources Management Association
language : en
Publisher:
Release Date : 2020

Deep Learning And Neural Networks written by Information Resources Management Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Data mining categories.




Deep Learning In Natural Language Processing


Deep Learning In Natural Language Processing
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Author : Li Deng
language : en
Publisher: Springer
Release Date : 2018-05-23

Deep Learning In Natural Language Processing written by Li Deng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-23 with Computers categories.


In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.



Deep Learning For Computer Vision


Deep Learning For Computer Vision
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2019-04-04

Deep Learning For Computer Vision written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-04 with Computers categories.


Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.



Evolutionary Computing And Mobile Sustainable Networks


Evolutionary Computing And Mobile Sustainable Networks
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Author : V. Suma
language : en
Publisher: Springer Nature
Release Date : 2020-07-31

Evolutionary Computing And Mobile Sustainable Networks written by V. Suma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Technology & Engineering categories.


This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2020), held at the Sir M. Visvesvaraya Institute of Technology on 20–21 February 2020. Discussing advances in evolutionary computing technologies, including swarm intelligence algorithms and other evolutionary algorithm paradigms which are emerging as widely accepted descriptors for mobile sustainable networks virtualization, optimization and automation, this book is a valuable resource for researchers in the field of evolutionary computing and mobile sustainable networks.



Approximate Circuits


Approximate Circuits
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Author : Sherief Reda
language : en
Publisher: Springer
Release Date : 2018-12-05

Approximate Circuits written by Sherief Reda and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Technology & Engineering categories.


This book provides readers with a comprehensive, state-of-the-art overview of approximate computing, enabling the design trade-off of accuracy for achieving better power/performance efficiencies, through the simplification of underlying computing resources. The authors describe in detail various efforts to generate approximate hardware systems, while still providing an overview of support techniques at other computing layers. The book is organized by techniques for various hardware components, from basic building blocks to general circuits and systems.



Future Access Enablers For Ubiquitous And Intelligent Infrastructures


Future Access Enablers For Ubiquitous And Intelligent Infrastructures
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Author : Dragan Perakovic
language : en
Publisher: Springer
Release Date : 2021-06-20

Future Access Enablers For Ubiquitous And Intelligent Infrastructures written by Dragan Perakovic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-20 with Computers categories.


This book constitutes the refereed post-conference proceedings of the 5th International Conference on Future Access Enablers for Ubiquitous and Intelligent Infrastructures, FABULOUS 2021, held in May 2021. Due to COVID-19 pandemic the conference was held virtually. This year’s conference topic covers security of innovative services and infrastructure in traffic, transport and logistic ecosystems. The 30 revised full papers were carefully reviewed and selected from 60 submissions. The papers are organized in thematic sessions on: Internet of things and smart city; smart environment applications; information and communications technology; smart health applications; sustainable communications and computing infrastructures.