International Conference on Autonomous Systems with Machine Learning ICASML

Call For Papers

The ICASML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Machine learning for autonomous navigation

Sensor fusion techniques in autonomous systems

Autonomous drones and machine learning

Safety challenges in autonomous systems

Machine learning for robotic control systems

Autonomous vehicles and AI technologies

Human-robot interaction using machine learning

Real-time decision making in autonomous systems

Autonomous systems in smart cities

Machine learning for environmental monitoring

Ethics of autonomous systems development

Autonomous systems for disaster response

Machine learning in autonomous manufacturing

Data-driven design of autonomous systems

Challenges in deploying autonomous systems

Autonomous systems for healthcare applications

Machine learning for predictive maintenance in robotics

Autonomous systems and cybersecurity concerns

Future directions in autonomous systems research

Integration of AI in autonomous technologies

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event