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Machine Vision and Augmented Intelligence, Kumar Singh


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Автор: Kumar Singh
Название:  Machine Vision and Augmented Intelligence
ISBN: 9789819901883
Издательство: Springer
Классификация:



ISBN-10: 981990188X
Обложка/Формат: Hardback
Страницы: 663
Вес: 1.29 кг.
Дата издания: 01.05.2023
Серия: Lecture Notes in Electrical Engineering
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 50 tables, color; 285 illustrations, color; 71 illustrations, black and white; xii, 663 p. 356 illus., 285 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Select proceedings of mai 2022
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing.
Дополнительное описание: Modelling of Disease Transformation.- Epidemic Forecast.- COVID-19: Theory and practice.- Image Processing and Computer Vision.- Augmented Intelligence: Theory and Applications.- Soft Computing: Theory and Applications.- Deep Learning: Theory and Applicat


Pattern Recognition and Machine Intelligence

Автор: Marzena Kryszkiewicz; Sanghamitra Bandyopadhyay; H
Название: Pattern Recognition and Machine Intelligence
ISBN: 3319199404 ISBN-13(EAN): 9783319199405
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held in Warsaw, Poland, in June/July 2015. The total of 53 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications of artificial intelligence.

Optoelectronics in Machine Vision-Based Theories and Applications

Автор: Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, Julio Cesar Rodriguez-Quinonez
Название: Optoelectronics in Machine Vision-Based Theories and Applications
ISBN: 1522557512 ISBN-13(EAN): 9781522557517
Издательство: Mare Nostrum (Eurospan)
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Цена: 188100.00 T
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Описание: Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services.Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning

Автор: Zhen Cui; Jinshan Pan; Shanshan Zhang; Liang Xiao;
Название: Intelligence Science and Big Data Engineering. Big Data and Machine Learning
ISBN: 3030362035 ISBN-13(EAN): 9783030362034
Издательство: Springer
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Цена: 46570.00 T
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Описание: The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019.The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.

Machine Vision and Augmented Intelligence--Theory and Applications: Select Proceedings of Mai 2021

Автор: Bajpai Manish Kumar, Kumar Singh Koushlendra, Giakos George
Название: Machine Vision and Augmented Intelligence--Theory and Applications: Select Proceedings of Mai 2021
ISBN: 9811650772 ISBN-13(EAN): 9789811650772
Издательство: Springer
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Цена: 204970.00 T
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Описание: Chapter 01: Modelling of Disease Transformation.- Chapter 02: Epidemic Forecast.- Chapter 03: COVID-19: Theory and practice.- Chapter 04: Image Processing and Computer Vision.- Chapter 05: Augmented Intelligence: Theory and Applications.- Chapter 06: Soft Computing: Theory and Applications.- Chapter 07: Deep Learning: Theory and Applications.- Chapter 08: Image Reconstruction.- Chapter 09: Artificial Intelligence in Healthcare.- Chapter 10: Brain Computer Interface.- Chapter 11: Cyber Security and Social Network Analysis.- Chapter 12: Natural Language Processing.- Chapter 13: Cryptography and Image Security.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название: Challenges and Applications for Implementing Machine Learning in Computer Vision
ISBN: 1799801837 ISBN-13(EAN): 9781799801832
Издательство: Mare Nostrum (Eurospan)
Цена: 173190.00 T
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Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Examining Optoelectronics in Machine Vision and Applications in Industry 4.0

Автор: Julio C. Rodriguez-Quinonez, Oleg Sergiyenko, Wendy Flores-Fuentes
Название: Examining Optoelectronics in Machine Vision and Applications in Industry 4.0
ISBN: 1799865231 ISBN-13(EAN): 9781799865230
Издательство: Mare Nostrum (Eurospan)
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Цена: 175560.00 T
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Описание: Focuses on the examination of emerging technologies for the design, fabrication, and implementation of optoelectronic sensors, devices, and systems in a machine vision approach to support industrial, commercial, and scientific applications.

SIGMA

Автор: Takashi Matsuyama; Vincent Shang-Shouq Hwang
Название: SIGMA
ISBN: 1489908692 ISBN-13(EAN): 9781489908698
Издательство: Springer
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Цена: 93160.00 T
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Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
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Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Machine Learning for Computer Vision

Автор: Roberto Cipolla; Sebastiano Battiato; Giovanni Mar
Название: Machine Learning for Computer Vision
ISBN: 3642446868 ISBN-13(EAN): 9783642446863
Издательство: Springer
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Цена: 113180.00 T
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Описание: Collecting articles covering talks and tutorials from the latest session of the International Computer Vision Summer School (ICVSS), this book offers a thorough exploration of current progress in the science and technology of making machines that see.

Parallel Algorithms for Machine Intelligence and Vision

Автор: Vipin Kumar; P.S. Gopalakrishnan; Laveen N. Kanal
Название: Parallel Algorithms for Machine Intelligence and Vision
ISBN: 1461279941 ISBN-13(EAN): 9781461279945
Издательство: Springer
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Цена: 111790.00 T
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Описание: Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book.

Zero-Effort Technologies: Considerations, Challenges, and Use in Health, Wellness, and Rehabilitation, Second Edition

Автор: Jennifer Boger, Victoria Young, Jesse Hoey, Tizneem Jiancaro, Alex Mihailidis
Название: Zero-Effort Technologies: Considerations, Challenges, and Use in Health, Wellness, and Rehabilitation, Second Edition
ISBN: 1681732866 ISBN-13(EAN): 9781681732862
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: This book introduces zero-effort technologies (ZETs), an emerging class of technologies that require little or no effort from the people who use them. ZETs use advanced computing techniques, such as computer vision, sensor fusion, decision-making and planning, machine learning, and the Internet of Things to autonomously perform the collection, analysis, and application of data about the user and/or his/her context. This book begins with an overview of ZETs, then presents concepts related to their development, including pervasive intelligent technologies and environments, design principles, and considerations regarding use. The book discusses select examples of the latest in ZET development before concluding with thoughts regarding future directions of the field.

Machine Vision: Applications & Systems

Автор: Beata Akselsen
Название: Machine Vision: Applications & Systems
ISBN: 1681172682 ISBN-13(EAN): 9781681172682
Издательство: Gazelle Book Services
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Цена: 230210.00 T
Наличие на складе: Невозможна поставка.
Описание: Vision plays an ultimate role for living beings by allowing them to cooperate with the environment in an actual and competent way. The crucial objective of Machine Vision is to provide artificial systems with adequate capabilities to cope with not a priori predetermined situations. While computer vision is focused mainly on image processing at the level of hardware, machine vision most often requires the use of additional hardware and computer networks to transmit information generated by the other process components, such as a robot arm. Machine vision is a subcategory of engineering machinery, dealing with issues of information technology, optics, mechanics and industrial automation. One of the most common applications of machine vision is inspection of the products such as microprocessors, cars, food and pharmaceuticals. Machine vision systems are used increasingly to solve problems of industrial inspection, allowing for complete automation of the inspection process and to increase its accuracy and efficiency. As is the case for inspection of products on the production line, made by people, so in case of application for that purpose machine vision systems are used digital cameras, smart cameras and image processing software. This book entitled Machine Vision - Applications and Systems presents the possible applications of machine vision in the present. The book places particular emphasis on the engineering and technology aspects of image processing and computer vision. Machine Vision is not restricted any more to industrial environments, where situations and tasks are shortened and very specific, but it is now prevalent to support system solutions of routine life problems.


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