On-location / Digital Conference

International Conference on Smart Cities and Machine Learning (ICSCML-27)

28th - 29th May 2027,Copenhagen, Denmark

In Association With:

Call for Paper


Important Dates


Early Bird Registration

28th Apr 2027

Paper Submission Deadline

3rd May 2027

Registration Deadline

13th May 2027

Conference Date

28th - 29th May 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Copenhagen ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Copenhagen conference.
  • Peer Review Process:
    The peer review process will begin soon for Copenhagen conference.
  • Networking with Global Experts:
    Join global experts at our conference in Copenhagen.
  • 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 ICSCML 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 Smart Cities and 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:

  • 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

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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