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· 분류 : 외국도서 > 기술공학 > 기술공학 > 전력자원 > 전기 에너지
· ISBN : 9781032600352
· 쪽수 : 504쪽
· 출판일 : 2024-08-15
목차
Volume 1. 1.?An Overview on Electric Vehicles: Technologies, Emissions, and Challenges. 2.?A Comprehensive Review on Rechargeable Batteries: Technologies, Advancements, and Comparative Analysis. 3.?Fabrication of Test Rig to Analyze the Effects of Variable Belt Tension in a CVT System. 4. An analysis of start stop system for energy efficient micro hybrid two-wheeler. 5. Optimization of Electric Vehicle Lithium-ion battery parameter by using Taguchi Methodology. 6.?Energizing the Future: Electric Vehicle Charging infrastructure, Integration, and Policy Perspectives. 7.?Modeling of Electronic - Waste Recycling Intentions among Generation Z. 8.?Vision-Based Target Tracking for UAVs using Yolov2 Deep Algorithms. 9. Flight Delay Prediction: A Comprehensive Review of Models, Methods, and Trends. 10. Selection of Electric Car using Multi-Attribute Decision-Making Methods. 11.? People's perception of Electric Vehicles in developing countries: A case study of Jaipur city. 12. Significance of AI in Automobiles.
Volume 2. 1.?Smart Electric and Hybrid Vehicles Architecture. 2.?Proof of Concept: An On-Road Recharging E-Vehicle. 3.?Cylindrical Lithium-ion battery- Fundamentals, Design and Manufacturing processes. 4.?Revolutionizing Vehicular Braking: The Uni-Booster Integrated Disc Brake System. 5.?Analyzing the Impact of Bumper Height on Pedestrian Injuries using Explicit Dynamics. 6. Improvise in Sigma Level in automobile industries. 7.?Navigating the roadmap of intelligent transport in Indian smart cities: Sectorial analysis, challenges and key elements of data science enabled solutions. 8. Enhancing Aircraft Inspection Through Computer Vision: Mitigating Human Error and Improving Safety. 9.?Unleashing the Power of YOLOv5: Revolutionizing Person Detection and Counting in Restricted Zones. 10. Revolutionizing Cloud Computing Security with the Power of Artificial Intelligence: Advancements, Challenges, and Opportunities. 11. HDVF: Hazy object detection network based on variational features.















