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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 613945705X ISBN 13: 9786139457052
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -The journey of writing this piece begins during our graduation period. After a long search we selected 'Application of Deep Learning In Object Detection'. We read all most 40 papers and came to a conclusion that we should go for combining our work for those who really are interested in this area. We comprehended all most all piece of our work and have included in simple and easy language so that reader can easy understand and get it.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.
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In den WarenkorbPaperback. Zustand: Brand New. 276 pages. 10.00x7.00x10.00 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 100 pages. 8.50x5.44x1.30 inches. In Stock.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Mai 2022, 2022
ISBN 10: 6204752626 ISBN 13: 9786204752624
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -All countries agree on the need to find solutions to the problems in agriculture field and to determine the future of agriculture. The importance of artificial intelligence in agriculture is emphasized and encouraged due to issues such as climate changes, population growth, use of resources, and food security. Artificial intelligence applications are used to support advanced agricultural production, while providing opportunities for more efficient production. Artificial intelligence, which replaces human power in production, paves the way for the development of new technologies that can cultivate, sow, irrigate, harvest, analyze soil and plant status. It is thought that artificial intelligence technologies, which affect every institution in the sector from small producers to large enterprises, will gain a large place in the agricultural sector in the medium term. It is possible to divide artificial intelligence applications into groups in agriculture. These are in the form of agricultural robots, soil and crop monitoring, analytical forecasting. Applications that bring the future to today in production activities have shown that data collection is of primary importance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204752626 ISBN 13: 9786204752624
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Deep Learning and Object Detection Practices in Agriculture | New Approaches in Agricultural Engineering | Sezgin Ersoy (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204752624 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Zustand: New. Kaige Zhang has a B.S. degree (2011) in electronic engineering from the Harbin Institute of Technology, China, and a Ph.D. degree (2019) in computer science from Utah State University, USA. His research interests include computer vision,.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200256845 ISBN 13: 9786200256843
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Giving the ability to a computer or robot to know a shape or pattern in an image is a very difficult problem to solve but it is not impossible. The use of learning algorithms allows a computer to identify a shape in an image for classification, location or analysis. This shape can be a letter, a number or a real object. Many research works are presented in the field of pattern recognition to improve the performance of learning algorithms in terms of accuracy and speed. Since the 1940s researchers in artificial intelligence have been trying to unravel the secrets of the functioning of the human brain in the hope of being able to someday virtually replicate it and transfer it to machines that would become as intelligent and autonomous as human. Research progressed dramatically and began to design smart machines. AI used to be a fanciful concept from science fiction, but now it¿s becoming a daily reality. Neural networks are paving the way toward breakthroughs in machine learning, called ¿deep learning.¿ Deep learning and computer vision are transforming the way we interact with all the machines and devices in our lives, by enabling them to process what they¿re seeing in real time.
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In den WarenkorbZustand: New.
Buch. Zustand: Neu. Deep Learning for Crack-Like Object Detection | Kaige Zhang (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2023 | CRC Press | EAN 9781032181189 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 191,33
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In den WarenkorbHardcover. Zustand: Brand New. 200 pages. 9.19x6.13x0.79 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 240 pages. 10.00x7.00x0.82 inches. In Stock.
Taschenbuch. Zustand: Neu. Deep Learning in Object Detection and Recognition | Xiaoyue Jiang (u. a.) | Taschenbuch | xvi | Englisch | 2020 | Springer Singapore | EAN 9789811506512 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Feb 2026, 2026
ISBN 10: 9819548454 ISBN 13: 9789819548453
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the ever-evolving field of computer vision, 'Deep Learning for Object Detection and Localization' serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically tailored to enhance object detection and localization tasks. From foundational concepts to cutting-edge techniques, readers will embark on a journey through the intricacies of convolutional neural networks (CNNs), region-based frameworks, and advanced algorithms that power modern object detection systems. The purpose of writing this book is to bridge the knowledge gap in the dynamic field of object detection and localization using deep learning. As technology progresses, there is an increasing demand for robust and efficient systems capable of identifying and pinpointing objects within images and videos. Despite the plethora of resources available, there remains a need for a focused, in-depth guide that comprehensively covers both theoretical aspects and practical implementations. This book aims to fulfill that need by providing a detailed, structured approach to mastering the complexities of object detection and localization.Readers will benefit from the problem-solving focus of this book, which addresses key challenges faced in real-world applications. Whether it's enhancing accuracy in autonomous driving, improving precision in medical imaging, or optimizing performance in surveillance systems, the book offers practical solutions and insights. By exploring state-of-the-art techniques and real-world case studies, 'Deep Learning for Object Detection and Localization' equips readers with the knowledge and tools necessary to tackle the pressing challenges in this rapidly advancing field.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 229,02
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In den WarenkorbHardcover. Zustand: Brand New. 205 pages. 6.14x0.50x9.21 inches. In Stock.