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Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition


Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition
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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.



Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition


Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition
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Author : Jiann-Ming Wu
language : en
Publisher: Engineering Science Reference
Release Date : 2020

Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition written by Jiann-Ming Wu and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.


"This book presents a total solution to developing intelligent pattern recognition apps on iOS devices based on MatConvNet deep learning"--



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 Radar And Communications Automatic Target Recognition


Deep Learning For Radar And Communications Automatic Target Recognition
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Author : Uttam K. Majumder
language : en
Publisher: Artech House
Release Date : 2020-07-31

Deep Learning For Radar And Communications Automatic Target Recognition written by Uttam K. Majumder and has been published by Artech House 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 authoritative resource presents a comprehensive illustration of modern Artificial Intelligence / Machine Learning (AI/ML) technology for radio frequency (RF) data exploitation. It identifies technical challenges, benefits, and directions of deep learning (DL) based object classification using radar data, including synthetic aperture radar (SAR) and high range resolution (HRR) radar. The performance of AI/ML algorithms is provided from an overview of machine learning (ML) theory that includes history, background primer, and examples. Radar data issues of collection, application, and examples for SAR/HRR data and communication signals analysis are discussed. In addition, this book presents practical considerations of deploying such techniques, including performance evaluation, energy-efficient computing, and the future unresolved issues.



Machine Learning Mastery With Weka


Machine Learning Mastery With Weka
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2016-06-23

Machine Learning Mastery With Weka 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 2016-06-23 with Computers categories.


Machine learning is not just for professors. Weka is a top machine learning platform that provides an easy-to-use graphical interface and state-of-the-art algorithms. In this Ebook, learn exactly how to get started with applied machine learning using the Weka platform.



Matlab Machine Learning


Matlab Machine Learning
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Author : Michael Paluszek
language : en
Publisher: Apress
Release Date : 2016-12-29

Matlab Machine Learning written by Michael Paluszek and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-29 with Computers categories.


This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning. The book reviews commercially available packages for machine learning and shows how they fit into the field. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their software grasp the results. Machine Learning can be very mathematical. The mathematics for each area is introduced in a clear and concise form so that even casual readers can understand the math. Readers from all areas of engineering will see connections to what they know and will learn new technology. The book then provides complete solutions in MATLAB for several important problems in machine learning including face identification, autonomous driving, and data classification. Full source code is provided for all of the examples and applications in the book. What you'll learn: An overview of the field of machine learning Commercial and open source packages in MATLAB How to use MATLAB for programming and building machine learning applications MATLAB graphics for machine learning Practical real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers and engineering students wanting a comprehensive and practical introduction to machine learning.



Manufacturing Intelligence For Industrial Engineering Methods For System Self Organization Learning And Adaptation


Manufacturing Intelligence For Industrial Engineering Methods For System Self Organization Learning And Adaptation
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Author : Zhou, Zude
language : en
Publisher: IGI Global
Release Date : 2010-03-31

Manufacturing Intelligence For Industrial Engineering Methods For System Self Organization Learning And Adaptation written by Zhou, Zude and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-31 with Computers categories.


"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.



Bayesian Reasoning And Machine Learning


Bayesian Reasoning And Machine Learning
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Author : David Barber
language : en
Publisher: Cambridge University Press
Release Date : 2012-02-02

Bayesian Reasoning And Machine Learning written by David Barber and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-02 with Computers categories.


A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.



Kalman Filter For Beginners


Kalman Filter For Beginners
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Author : Pʻir-yŏng Kim
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2011

Kalman Filter For Beginners written by Pʻir-yŏng Kim and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Kalman filtering categories.


Dwarfs your fear towards complicated mathematical derivations and proofs. Experience Kalman filter with hands-on examples to grasp the essence. A book long awaited by anyone who could not dare to put their first step into Kalman filter. The author presents Kalman filter and other useful filters without complicated mathematical derivation and proof but with hands-on examples in MATLAB that will guide you step-by-step. The book starts with recursive filter and basics of Kalman filter, and gradually expands to application for nonlinear systems through extended and unscented Kalman filters. Also, some topics on frequency analysis including complementary filter are covered. Each chapter is balanced with theoretical background for absolute beginners and practical MATLAB examples to experience the principles explained. Once grabbing the book, you will notice it is not fearful but even enjoyable to learn Kalman filter.