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

01st - 02nd Oct 2026,Budapest, Hungary

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Call for Paper

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Important Dates


Early Bird Registration

01st Sep 2026

Paper Submission Deadline

6th September 2026

Registration Deadline

16th September 2026

Conference Date

01st - 02nd Oct 2026

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Budapest ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Budapest conference.
  • Peer Review Process:
    The peer review process will begin soon for Budapest conference.
  • Networking with Global Experts:
    Join global experts at our conference in Budapest.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICMLSCI 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 for Smart Cities and IoT, encouraging applied research, case studies, and industry-driven innovations.

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

Assessment

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

Registration

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

Publication

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

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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