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ICAIML 2025 : International Conference on AI and Machine Learning for Smart Mobility and Automation

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Link: https://www.fusionresearchsolutions.com/icaiml2025/
 
When Aug 9, 2025 - Aug 9, 2025
Where Detroit
Submission Deadline Jul 20, 2025
Notification Due Jul 30, 2025
Final Version Due Aug 5, 2025
Categories    engineering   machine learning   automation   spectrum sensing
 

Call For Papers

We are pleased to invite researchers, industry professionals, and academic scholars to contribute to the International Conference on AI and Machine Learning for Smart Mobility and Automation, to be held in Michigan, USA.

This conference will serve as a leading platform for presenting novel and innovative research in artificial intelligence, machine learning, and their applications in smart transportation, autonomous systems, and industrial automation.

We welcome high-quality submissions in both theoretical and applied domains that address current and future challenges in intelligent automation systems.

🎯 Conference Themes & Topics
Authors are invited to submit original papers in (but not limited to) the following areas:

🧠 Artificial Intelligence & Machine Learning
Deep learning architectures for control and perception
Reinforcement learning in real-time systems
Federated learning and edge AI
AI for embedded and real-time systems
Explainable AI and trustworthy ML systems
🚗 Smart Mobility & Intelligent Transport
AI for autonomous vehicles
Machine learning in traffic prediction and optimization
AI-powered navigation and route planning
Vehicle-to-Everything (V2X) communication and AI
Intelligent public transportation systems
⚙️ Automation & Robotics
Robotics process automation (RPA) in manufacturing
AI in predictive maintenance and industrial automation
Computer vision for automation and quality control
Human-robot collaboration
Digital twins and smart factories
🌍 Emerging Applications
AI for energy-efficient mobility
Smart cities and AI infrastructure
AI in drone technologies and logistics
Security, privacy, and ethical challenges in automated systems
Data-driven sustainability in mobility and automation

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