Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies
Series: Intelligent Data-Driven Systems and Artificial Intelligence;
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 10 December 2024
- ISBN 9781032640631
- Binding Hardback
- No. of pages320 pages
- Size 234x156 mm
- Weight 453 g
- Language English
- Illustrations 45 Illustrations, black & white; 7 Halftones, black & white; 38 Line drawings, black & white; 9 Tables, black & white 678
Categories
Short 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.
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Long 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.
MoreTable of Contents:
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.
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