Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies (eBook, ePUB)

Redaktion: Kumar, Abhishek; Díaz, Vicente García; Dubey, Ashutosh Kumar; Saini, Hemant Kumar

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 10. Dezember 2024
• Englisch
• ISBN-13: 9781040147061
• Artikelnr.: 72447326

Autorenporträt

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 García-Díaz 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.

Inhaltsangabe

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.