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With ongoing regional conflict and aviation warnings, this event may transition to virtual delivery only, prioritizing participant safety and accessibility.

Flex Conference (Physical / Digital)

International Conference on Smart Cities and Machine Learning - (ICSCML-26)

14th - 15th December 2026 , Abu Dhabi - UAE

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Call For Papers

The (ICSCML-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Machine Learning are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Smart city infrastructure and machine learning
  • Traffic management using AI technologies
  • Public safety applications of machine learning
  • Energy efficiency in smart cities
  • Data analytics for urban planning
  • Citizen engagement through smart technologies
  • Machine learning for waste management solutions
  • IoT integration in smart city frameworks
  • Predictive maintenance for urban infrastructure
  • Environmental monitoring in smart cities
  • Machine learning for public transportation systems
  • Social equity in smart city initiatives
  • AI for emergency response optimization
  • Smart grids and energy management
  • Urban health monitoring using AI
  • Machine learning for housing and development
  • Future of smart city technologies
  • Collaborative governance in smart cities
  • Machine learning for urban resilience
  • Ethical considerations in smart city AI

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.