SNRI

(ICAML-SA - 27) | Hybrid Event
6th - 7th April 2027 | Antalya, Turkey

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International Conference on Applied Machine Learning for Scientific Applications
(ICAML-SA - 27)

6th - 7th April 2027 Antalya, Turkey (Hybrid Event)

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Call for Paper

The ICAML-SA 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 Computational Science, Data Science, 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:

  • Applied machine learning in scientific fields
  • Case studies of ML in scientific research
  • Real-world applications of machine learning
  • Machine learning for experimental data analysis
  • AI techniques for scientific modeling
  • Data-driven decision-making in science
  • Machine learning for predictive maintenance
  • Applications of ML in environmental science
  • Machine learning in social science research
  • AI for optimizing scientific workflows
  • Challenges in applying ML to science
  • Ethics of machine learning applications
  • Machine learning for data-driven discoveries
  • AI in computational biology applications
  • Interdisciplinary approaches to applied ML
  • Machine learning for sensor data analysis
  • AI for enhancing research reproducibility
  • Future trends in applied machine learning
  • Collaborative research using machine learning
  • Machine learning for scientific visualization
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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