SNRI

(ICMLSCI - 26) | Hybrid Event
18th - 19th October 2026 | Amsterdam, Netherlands

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International Conference on Machine Learning for Smart Cities and IoT
(ICMLSCI - 26)

18th - 19th October 2026 Amsterdam, Netherlands (Hybrid Event)

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Call for Paper

The ICMLSCI is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Artificial Intelligence,Data Science,Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Smart city infrastructure optimization techniques
  • IoT data analytics for urban planning
  • Machine learning applications in smart transportation
  • Energy management using IoT and AI
  • Predictive maintenance in smart cities
  • Real-time traffic monitoring with machine learning
  • IoT security challenges in smart environments
  • Data-driven decision making for urban sustainability
  • AI-driven public safety solutions
  • Smart waste management systems
  • Citizen engagement through IoT technologies
  • Machine learning for environmental monitoring
  • IoT-enabled smart grid technologies
  • Urban mobility solutions using AI
  • Data privacy concerns in smart cities
  • AI applications in smart healthcare systems
  • Integration of IoT with renewable energy sources
  • Machine learning for disaster management
  • Smart building automation systems
  • AI for enhancing urban resilience
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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