Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies
1st Edition
Published on 10. December 2024
320 pages
978-1-040-14706-1 (ISBN)
Description
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 eny ecosystem.
The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering.
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 eny ecosystem.
The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
9 Tables, black and white; 38 Line drawings, black and white; 7 Halftones, black and white; 45 Illustrations, black and white
ISBN-13
978-1-040-14706-1 (9781040147061)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Abhishek Kumar | Hemant Kumar Saini | Ashutosh Kumar Dubey
Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies
Book
approx. 07/2026
1st Edition
CRC Press
€66.00
Not yet published
Abhishek Kumar | Hemant Kumar Saini | Ashutosh Kumar Dubey
Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies
Book
12/2024
1st Edition
CRC Press
€177.60
Shipment within 10-20 days
Abhishek Kumar | Hemant Kumar Saini | Ashutosh Kumar Dubey
Bio-Inspired Data-Driven Distributed Energy in Robotics and Enabling Technologies
Book
10/2024
CRC Press
Unfortunately, price unknown
Article exhausted; check different version
Persons
Abhishek Kumar is currently working as Associate Professor, Chandigarh University, India and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, and Ciudad Real Spain.He has more than 170 publications in reputed, peer-reviewed National International Journals, Conferences.
Hemant Kumar Saini is currently working as an Assistant Professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. He had been honoured by Governor of Rajasthan for his research works in 2015. He is a TEQIP-III coordinator. Dr. Saini has delivered many expert talks in ATAL sponsored Faculty Development Programs and keynote talks in many National and International Conferences.
Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a Postdoctoral Fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain.
Vicente Garcia-Diaz is an Associate Professor in the Department of Computer Science at the University of Oviedo, Spain. He is a Software Engineer, PhD in Computer Science. He has a Master's in Occupational Risk Prevention and the qualification of University Expert in Blockchain Application Development. He is part of the editorial and advisory board of several indexed journals and conferences and has been editor of several special issues in books and indexed journals. He has supervised 100+academic projects and published 100+ research papers in journals, conferences, and books. His teaching interests are primarily in the design and analysis of algorithms and the design of domain-specific languages. His current research interests include decision support systems, health informatics and eLearning.
Hemant Kumar Saini is currently working as an Assistant Professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. He had been honoured by Governor of Rajasthan for his research works in 2015. He is a TEQIP-III coordinator. Dr. Saini has delivered many expert talks in ATAL sponsored Faculty Development Programs and keynote talks in many National and International Conferences.
Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a Postdoctoral Fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain.
Vicente Garcia-Diaz is an Associate Professor in the Department of Computer Science at the University of Oviedo, Spain. He is a Software Engineer, PhD in Computer Science. He has a Master's in Occupational Risk Prevention and the qualification of University Expert in Blockchain Application Development. He is part of the editorial and advisory board of several indexed journals and conferences and has been editor of several special issues in books and indexed journals. He has supervised 100+academic projects and published 100+ research papers in journals, conferences, and books. His teaching interests are primarily in the design and analysis of algorithms and the design of domain-specific languages. His current research interests include decision support systems, health informatics and eLearning.
Content
1. Data driven Aircrafts transforming the manufacturing world with new idea of bio-inspired interactions. 2. Smart Data-Driven Sensing: New Opportunities to Combat Environmental Problems. 3. IoT-based Smart Car Parking Using Particle Swam Optimization Techniques. 4. Impact of Emerging Robots Using the Bio Inspired Processed Data Drive Mechanisms. 5. IoT's Golden Age: Pioneering Societal Change and Economic Advancements. 6. Impactful future: Harnessing IoT for socio-economic data intelligence. 7. Cultural Evolution in the Digital Age: IoT Implementation and Technology Readiness in Organizational Context. 8. Bioinspired swarm model: A New Tool for devouring the supply chain. 9. A Comprehensive Study on Meta-heuristic Optimization Approach for Maximum Power Point Tracking In Solar Power System. 10. Fuzzy Logic and Bio-Inspired Ant Colony Algorithm Based Technique to Find Relative Desirability in IoT Based Healthcare System. 11. A New Adaptive Neural Network Based Fast Terminal Sliding Mode and Force/position Control of Time Varying Constrained Reconfigurable Manipulators. 12. Horizons of Smart Data Driven Technologies in Solar Photovoltaic Glass Illuminating Path to Smart Cities: Skylines SDG 13 (Climate Action) Eliminating Environmental Snags. 13. Data-Driven Robotics: A Performance Analysis of Wearable Sensor-based Wound Assessment System for Sensor Data Collection. 14. Leveraging Data-Driven Solutions for Energy Efficiency and Pollution Reduction in Smart Sustainable Cities. 15. Futuristic data driven enabled schemes in block chain-fog-cloud assisted Medical Energy ecosystem.
