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Bio-inspired data-driven distributed energy in robotics and enabling technologies / edited by Abhishek Kumar, Hemant Kumar Saini, Ashutosh Kumar Dubey, and Vicente García-Díaz.

Contributor(s): Material type: TextSeries: Intelligent data-driven systems and artificial intelligencePublisher: Boca Raton, FL : CRC Press, 2025Copyright date: ©2025Edition: First editionDescription: 1 online resource (x, 310 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003530077
  • 1003530079
  • 9781040147061
  • 1040147062
Subject(s): LOC classification:
  • TA164.2
Partial contents:
Data driven aircrafts transforming the manufacturing world with new idea of bio-inspired interactions / Hemant Kumar Saini, Abhishek Kumar -- Smart data-driven sensing : new opportunities to combat environmental problems / Bhavani K, Gajendra N -- IoT-based smart car parking using particle swarm optimization techniques / Dipra Mitra, Shika Gupta, Gurpreet Singh Panesar, Ganesh Gupta.
Summary: "This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book: Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog cloud assisted medical energy ecosystem. The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering"-- Provided by publisher.
Item type: List(s) this item appears in: Titluri cărți electronice Taylor&Francis 2025 (1039 titluri)
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Data driven aircrafts transforming the manufacturing world with new idea of bio-inspired interactions / Hemant Kumar Saini, Abhishek Kumar -- Smart data-driven sensing : new opportunities to combat environmental problems / Bhavani K, Gajendra N -- IoT-based smart car parking using particle swarm optimization techniques / Dipra Mitra, Shika Gupta, Gurpreet Singh Panesar, Ganesh Gupta.

"This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book: Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog cloud assisted medical energy ecosystem. The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering"-- Provided by publisher.

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Biblioteca Universității "Dunărea de Jos" din Galați