The International Conference on Environmental Applications of Machine Learning is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
01
Machine Learning For Climate Modeling
02
Predictive Analytics In Environmental Science
03
Ai For Biodiversity Conservation Efforts
04
Sustainable Resource Management Using Ml
05
Environmental Monitoring With Sensor Data
06
Machine Learning In Renewable Energy Systems
07
Pollution Prediction And Control Using Ai
08
Data-driven Approaches To Climate Change
09
Smart Agriculture And Machine Learning
10
Wildlife Tracking With Machine Learning
11
Ai For Disaster Response And Recovery
12
Urban Planning And Environmental Sustainability
13
Machine Learning For Water Resource Management
14
Impact Assessment Of Environmental Policies
15
Carbon Footprint Reduction Using Ai
16
Machine Learning In Ecological Modeling
17
Public Health And Environmental Data Analysis
18
Community Engagement Through Environmental Ai
19
Future Trends In Environmental Machine Learning
20
Ethics Of Ai In Environmental Applications