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Data analytics for smart robotics and its applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data analytics for smart robotics and its applications/ edited by Rohit Sharma, Gwanggil Jeon.
其他作者:	Jeon, Gwanggil.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xvi, 329 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	https://doi.org/10.1007/978-3-031-87697-4
ISBN:	9783031876974

Data analytics for smart robotics and its applications
Data analytics for smart robotics and its applications[electronic resource] /edited by Rohit Sharma, Gwanggil Jeon. - Cham :Springer Nature Switzerland :2025. - xvi, 329 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v. 2721868-4408 ;. - Intelligent systems reference library ;v. 3..

Scalable Blockchain and Robotics Technology for a Patient-Centric Next Generation Medical System -- Face Mask Detection using Multimedia Data and Deep Learning Techniques -- Digital Twin Robots for Securing IoT Based Healthcare 4.0 Application: Key Technologies, Integration Trends and Recent Advancement -- Evolution of FinFET SRAM Cells for Smart Robotics: A Comprehensive Review -- Robot Path Planning Using Triangular Inequality -- Smart Factory Architecture, Infrastructure and Design of Manufacturing Systems using Robotics.

By offering a deep dive into the integration of robotics and IoT, this book provides actionable insights for developing autonomous systems that address complex real-world challenges in sectors such as healthcare, agriculture, education, manufacturing, and smart cities. It explores practical applications of the Internet of Robotic Things (IoRT), enabling readers to leverage its transformative potential to create smarter, more efficient environments. The book introduces a fresh perspective by combining the fields of robotics and IoT into a cohesive framework, underpinned by innovations in edge computing, cloud robotics, and Industry 4.0. Unlike traditional approaches, it emphasizes the convergence of these technologies to foster novel solutions for remote automation and data-driven intelligence. Covering topics like data management, machine learning, Hadoop, and IoRT applications, this book provides a comprehensive scope that balances theoretical foundations with real-world implementations. It is tailored for academic researchers, practitioners, and educators aiming to stay at the forefront of IoRT innovation and its practical deployment. With its unique approach and broad applicability, this book is an essential guide for exploring cutting-edge IoRT technologies, overcoming integration challenges, and inspiring the development of advanced systems that redefine how technology interacts with the physical world.

ISBN: 9783031876974

Standard No.: 10.1007/978-3-031-87697-4doiSubjects--Topical Terms:

1017136
Big Data.

LC Class. No.: TJ211

Dewey Class. No.: 629.892

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