IEEE-CYBER 2021 PDF Download
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Author: Zhidong Wang
Publisher:
ISBN: 9781665425278
Category :
Languages : en
Pages :
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Book Description
Author: Zhidong Wang
Publisher:
ISBN: 9781665425278
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher: Springer Nature
ISBN: 9464635126
Category :
Languages : en
Pages : 748
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Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781665435291
Category :
Languages : en
Pages :
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Book Description
IEEE CYBER is sponsored by IEEE Robotics & Automation Society focusing on the advanced Cyber technique in automation, control, and intelligent cyber systems
Author: Francisco J. G. Silva
Publisher: Springer Nature
ISBN: 3031382412
Category : Technology & Engineering
Languages : en
Pages : 954
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Book Description
This book reports on cutting-edge research and developments in manufacturing, giving a special emphasis to solutions fostering automation and sustainability. Topics cover manufacturing process optimization, remanufacturing, machines and mechanical design, CAD/CAM/CAE, materials characterization and processing, measurement and predictive maintenance techniques. Further topics include artificial intelligence and IoT in manufacturing, robotics, and cutting-edge issues in Industry 4.0/5.0. Based on proceedings of the 32nd edition of the International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023, held on June 18 – 22, 2023, in Porto, Portugal, this first volume of a 2-volume set provides academics and professionals with extensive, technical information on trends and technologies in manufacturing, yet it also discusses challenges and practice-oriented experience in all the above-mentioned areas.
Author: Liang Yan
Publisher: Springer Nature
ISBN: 9811966133
Category : Technology & Engineering
Languages : en
Pages : 7455
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Book Description
This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation and control of miniature aircraft; and sensor systems for guidance, navigation and control etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.
Author: Haijun Zhang
Publisher: Springer Nature
ISBN: 9819770041
Category :
Languages : en
Pages : 367
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Book Description
Author:
Publisher: BoD – Books on Demand
ISBN: 0850142792
Category : Technology & Engineering
Languages : en
Pages : 178
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Book Description
Precision agriculture has revolutionized the way crops are grown and managed by utilizing advanced technologies to optimize farm production, reduce waste, and improve environmental sustainability. Emerging technologies in precision agriculture, including edge computing, 5G communication, the Internet of Things, artificial intelligence, digital twins, blockchain, big data analytics, robotics, and augmented reality, are making significant contributions to the growth and development of this field. This book explores the latest advancements, achievements, and opportunities associated with these technologies in terms of improved efficiency, reduced labor costs, and enhanced safety, as well as the challenges involved in the implementation, such as high costs of adoption, regulations, and the need for skilled personnel. Each chapter presents research reports describing new methods and perspectives in precision agriculture applications based on innovative tools from basic and applied research. This book can serve both the academic community and farmers by demonstrating how modern technologies are advancing precision agriculture to the next level.
Author: Muhammad Fazal Ijaz
Publisher: Frontiers Media SA
ISBN: 2832544959
Category : Science
Languages : en
Pages : 379
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Book Description
Author: Fuchun Sun
Publisher: Springer Nature
ISBN: 9819980216
Category : Computers
Languages : en
Pages : 307
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Book Description
The two-volume set CCIS 1918 and 1919 constitutes the refereed post-conference proceedings of the 8th International Conference on Cognitive Systems and Information Processing, ICCSIP 2023, held in Luoyang, China, during August 10–12, 2023. The 52 full papers presented in these proceedings were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: Volume I : Award; Algorithm & Control; and Application. Volume II: Robotics & Bioinformatics; and Vision.
Author: Hashmi, Mohamamd Farukh
Publisher: IGI Global
ISBN: 1668499762
Category : Technology & Engineering
Languages : en
Pages : 276
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Book Description
Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.
