Invitation to Submit
제출 안내
The International Conference on Machine Learning and Data Mining in Engineering , 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 Machine Learning and Data Mining in Engineering , 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
Machine Learning Algorithms For Engineering Applications
Data Mining Techniques In Structural Engineering
Predictive Analytics For Engineering Design
Big Data Challenges In Engineering Fields
Ai Applications In Engineering Problem Solving
Data-driven Optimization In Engineering Processes
Statistical Methods For Engineering Data Analysis
Machine Learning For Materials Engineering
Engineering Data Visualization Techniques
Real-time Data Processing In Engineering
Data Mining For Fault Detection In Engineering
Integration Of Iot In Engineering Analytics
Sustainability Metrics In Engineering Projects
Data Mining For Risk Assessment In Engineering
Collaborative Engineering Through Data Sharing
Machine Learning For Energy Systems
Data-driven Innovation In Engineering Education
Ethics In Machine Learning Applications
Future Of Data Mining In Engineering
Case Studies Of Successful Data Mining
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.