Applications of Computational Learning and IoT in Smart Road Transportation System

Future Intelligent Vehicles: Research Roadmaps, Open Issues, and Key Challenges.- Speed Breaker and Vehicle Accident Detection with Alert Sensors.- Integrating Machine Learning and IoT: Pioneering Solutions for Sustainable Smart Cities.- Enhancing Emergency Response and Traffic Management with a Smart Ambulance Detection System Using Image Processing.- IoT-Driven Machine Learning Solutions for Smarter Urban Living.- Revolutionizing Road Transportation: The Role of Artificial Intelligence in Smart and Efficient Systems.- Recent Advancements and Future Perspectives of Dynamic Fuzzy Controllers for Smart Traffic Signaling.- Road Transport in the New Era Using Artificial Intelligence.- A Survey on Driver’s Unusual Behaviour Detection.- Optimization Strategies for Next-Generation AI, ML, and IoT Applications.- Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing.- Harnessing IoT and Machine Learning for Sustainable, Smart Urban Environments.- Smart Traffic Management: Automated Rerouting and Congestion Detection with Sensor Technology.

• Erscheinungsdatum: 08.05.2025
• Autor/Autorin: Saurav Mallik
• Reihe: Engineering (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 8.2 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 450 Seiten
• ISBN: 9783031876271
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.