Invitation to Submit
제출 안내
The International Conference on AI-driven Data Science for Environmental Monitoring , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on AI-driven Data Science for Environmental Monitoring , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Ai Techniques For Environmental Data Analysis
Data Science Applications In Climate Change
Predictive Modeling For Environmental Monitoring
Machine Learning For Biodiversity Conservation
Ai In Pollution Tracking And Management
Data-driven Approaches To Resource Management
Remote Sensing Data Analysis With Ai
Ai For Sustainable Agriculture Practices
Environmental Impact Assessment Using Data Science
Ai-driven Disaster Response Strategies
Climate Modeling With Machine Learning
Data Ethics In Environmental Monitoring
Ai For Renewable Energy Optimization
Smart Sensors For Environmental Data Collection
Machine Learning For Water Quality Assessment
Ai Applications In Wildlife Protection
Data Visualization Techniques For Environmental Data
Ai In Urban Heat Island Mitigation
Data Science For Ecological Forecasting
Future Trends In Environmental Ai Research
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.