(ICEAML - 26) | Hybrid Event
17th - 18th August 2026 | Amsterdam, Netherlands

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International Conference on Environmental Applications of Machine Learning
(ICEAML - 26)

17th - 18th August 2026 Amsterdam, Netherlands (Hybrid Event)

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Call for Paper

The ICEAML 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 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:

  • Machine learning for climate modeling
  • Predictive analytics in environmental science
  • AI for biodiversity conservation efforts
  • Sustainable resource management using ML
  • Environmental monitoring with sensor data
  • Machine learning in renewable energy systems
  • Pollution prediction and control using AI
  • Data-driven approaches to climate change
  • Smart agriculture and machine learning
  • Wildlife tracking with machine learning
  • AI for disaster response and recovery
  • Urban planning and environmental sustainability
  • Machine learning for water resource management
  • Impact assessment of environmental policies
  • Carbon footprint reduction using AI
  • Machine learning in ecological modeling
  • Public health and environmental data analysis
  • Community engagement through environmental AI
  • Future trends in environmental machine learning
  • Ethics of AI in environmental applications
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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