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Author : Don Braggins
Publisher :
ISBN 13 :
Total Pages : 388 pages
Book Rating : 4.3/5 (91 download)
Download or read book The Machine Vision Sourcebook written by Don Braggins and published by . This book was released on 1986 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Don Braggins
Publisher :
ISBN 13 : 9780948507281
Total Pages : 358 pages
Book Rating : 4.5/5 (72 download)
Download or read book The Machine Vision Sourcebook written by Don Braggins and published by . This book was released on 1986 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Don Braggins
Publisher : Springer
ISBN 13 : 9783540163558
Total Pages : 358 pages
Book Rating : 4.1/5 (635 download)
Download or read book The Machine Vision Sourcebook written by Don Braggins and published by Springer. This book was released on 1986-01 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : E. R. Davies
Publisher : Elsevier
ISBN 13 : 1483275612
Total Pages : 572 pages
Book Rating : 4.4/5 (832 download)
Download or read book Machine Vision written by E. R. Davies and published by Elsevier. This book was released on 2014-07-10 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Vision: Theory, Algorithms, Practicalities covers the limitations, constraints, and tradeoffs of vision algorithms. This book is organized into four parts encompassing 21 chapters that tackle general topics, such as noise suppression, edge detection, principles of illumination, feature recognition, Bayes' theory, and Hough transforms. Part 1 provides research ideas on imaging and image filtering operations, thresholding techniques, edge detection, and binary shape and boundary pattern analyses. Part 2 deals with the area of intermediate-level vision, the nature of the Hough transform, shape detection, and corner location. Part 3 demonstrates some of the practical applications of the basic work previously covered in the book. This part also discusses some of the principles underlying implementation, including on lighting and hardware systems. Part 4 highlights the limitations and constraints of vision algorithms and their corresponding solutions. This book will prove useful to students with undergraduate course on vision for electronic engineering or computer science.
Author : V. Daniel Hunt
Publisher : Elsevier
ISBN 13 : 0444601619
Total Pages : 334 pages
Book Rating : 4.4/5 (446 download)
Download or read book Robotics Sourcebook written by V. Daniel Hunt and published by Elsevier. This book was released on 2012-12-02 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics Sourcebook provides concise, up-to-date definitions of the terms, acronyms, and abbreviations currently used in robotics. It covers industrial robots, smart robots, and military robots, as well as machine vision, laser systems, CAD/CAM/CIM, advanced manufacturing technology, production processes, bar code identification, and factories of the future. It explains how robots work, and it presents key factors in robot implementation, as well as examples of typical applications, from assembly functions and die-casting to foundry, inspection, and forging. It also analyzes the world robotics market and includes forecasts of market trends. Divided into four parts encompassing 12 chapters, this volume begins with an overview of the robotics industry and U.S. industrial performance, along with current international competitors and their markets, including Japan, Western Europe, France, Britain, and West Germany. It proceeds with a discussion of technological developments, research and development, standards, international agreements, definitions of terms, and robotics programs such as those of NASA, the National Science Foundation, U.S. Navy Robotics, and the United Kingdom. Also included is extensive reference material that contains points of contact for additional information and a detailed bibliography, plus photographs, charts, and diagrams. This book should be a useful reference source for engineers or professionals working in the field of industrial robotics.
Author : V. Daniel Hunt
Publisher : Springer Science & Business Media
ISBN 13 : 1461322618
Total Pages : 359 pages
Book Rating : 4.4/5 (613 download)
Download or read book Artificial Intelligence & Expert Systems Sourcebook written by V. Daniel Hunt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and expert systems research, development, and demonstration have rapidly expanded over the past several years; as a result, new terminology is appearing at a phenomenal rate. This sourcebook provides an introduction to artificial intelligence and expert systems, it provides brief definitions, it includes brief descriptions of software products, and vendors, and notes leaders in the field. Extensive support material is provided by delineating points of contact for receiving additional information, acronyms, a detailed bibliography, and other reference data. The terminology includes artificial intelligence and expert system elements for: • Artificial Intelligence • Expert Systems • Natural language Processing • Smart Robots • Machine Vision • Speech Synthesis The Artificial Intelligence and Expert System Sourcebook is compiled from informa tion acquired from numerous books, journals, and authorities in the field of artificial intelligence and expert systems. I hope this compilation of information will help clarify the terminology for artificial intelligence and expert systems' activities. Your comments, revisions, or questions are welcome. V. Daniel Hunt Springfield, Virginia May, 1986 ix Acknowledgments The information in Artificial Intelligence and Expert Systems Sourcebook has been compiled from a wide variety of authorities who are specialists in their respective fields. The following publications were used as the basic technical resources for this book. Portions of these publications may have been used in the book. Those definitions or artwork used have been reproduced with the permission to reprint of the respective publisher.
Author : Ahmed Fawzy Gad
Publisher : Apress
ISBN 13 : 1484241673
Total Pages : 421 pages
Book Rating : 4.4/5 (842 download)
Download or read book Practical Computer Vision Applications Using Deep Learning with CNNs written by Ahmed Fawzy Gad and published by Apress. This book was released on 2018-12-05 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model. After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads. This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applications Who This Book Is ForData scientists, machine learning and deep learning engineers, software developers.
Author :
Publisher :
ISBN 13 :
Total Pages : 490 pages
Book Rating : 4.F/5 ( download)
Download or read book Vision written by and published by . This book was released on 1984 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bruce G. Batchelor
Publisher :
ISBN 13 :
Total Pages : 668 pages
Book Rating : 4.:/5 (318 download)
Download or read book Selected Papers on Industrial Machine Vision Systems written by Bruce G. Batchelor and published by . This book was released on 1994 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: SPIE Milestones are collections of seminal papers from the world literature covering important discoveries and developments in optics and photonics.
Author : Harold F. O'Neil, Jr.
Publisher : Routledge
ISBN 13 : 1135442827
Total Pages : 297 pages
Book Rating : 4.1/5 (354 download)
Download or read book Echnology Assessment in Software Applications written by Harold F. O'Neil, Jr. and published by Routledge. This book was released on 2013-11-05 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers an expansion of ideas presented at a recent conference convened to identify the major strategies and more promising practices for assessing technology. The authors -- representing government, business, and university sectors -- helped to set the boundaries of present technology assessment by offering perspectives from computer science, cognitive and military psychology, and education. Their work explores both the use of techniques to assess technology and the use of technology to facilitate the assessment process. The book's main purpose is to portray the state of the art in technology assessment and to provide conceptual options to help readers understand the power of technology. Technological innovation will continue to develop its own standards of practice and effectiveness. To the extent that these practices are empirically based, designers, supporters, and consumers will be given better information for their decisions.
Author :
Publisher :
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.E/5 ( download)
Download or read book The SRC United States Faculty Sourcebook written by and published by . This book was released on 1990 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 1026 pages
Book Rating : 4.F/5 ( download)
Download or read book Vision '87 written by and published by . This book was released on 1987 with total page 1026 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bruce Porter
Publisher : Morgan Kaufmann
ISBN 13 : 1483298582
Total Pages : 436 pages
Book Rating : 4.4/5 (832 download)
Download or read book Machine Learning Proceedings 1990 written by Bruce Porter and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1990
Author : Mark Nixon
Publisher : Elsevier
ISBN 13 : 0080556728
Total Pages : 423 pages
Book Rating : 4.0/5 (85 download)
Download or read book Feature Extraction & Image Processing written by Mark Nixon and published by Elsevier. This book was released on 2008-01-08 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. - Essential reading for engineers and students working in this cutting edge field - Ideal module text and background reference for courses in image processing and computer vision
Author : Bohdan S. Wynar
Publisher :
ISBN 13 : 9780872876835
Total Pages : 352 pages
Book Rating : 4.8/5 (768 download)
Download or read book Library and Information Science Annual written by Bohdan S. Wynar and published by . This book was released on 1988-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Thomas, J. Joshua
Publisher : IGI Global
ISBN 13 : 1799871789
Total Pages : 269 pages
Book Rating : 4.7/5 (998 download)
Download or read book Smart Cities and Machine Learning in Urban Health written by Thomas, J. Joshua and published by IGI Global. This book was released on 2021-11-12 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research’s theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.
Author : Gulzar, Zameer
Publisher : IGI Global
ISBN 13 : 1799850102
Total Pages : 336 pages
Book Rating : 4.7/5 (998 download)
Download or read book Machine Learning Approaches for Improvising Modern Learning Systems written by Gulzar, Zameer and published by IGI Global. This book was released on 2021-05-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including data mining and machine learning are assisting with the discovery of new techniques for improving learning environments in regions across the world. As the educational landscape continues to rapidly transform, researchers and administrators need to stay up to date on the latest advancements in order to elevate the quality of teaching in their specific institutions. Machine Learning Approaches for Improvising Modern Learning Systems provides emerging research exploring the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries. Featuring coverage on a broad range of topics such as game-based learning, intelligent tutoring systems, and course modelling, this book is ideally designed for researchers, scholars, administrators, policymakers, students, practitioners, and educators seeking current research on the digital transformation of educational institutions.
