Invitation to Submit
제출 안내
The International Conference on Time Series Analysis and Machine Learning , 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 Time Series Analysis and Machine Learning , 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
Time Series Forecasting With Machine Learning
Anomaly Detection In Time Series Data
Applications Of Time Series Analysis
Feature Extraction Techniques For Time Series
Real-time Time Series Processing Methods
Seasonal Decomposition Of Time Series
Machine Learning For Financial Time Series
Time Series Data Visualization Techniques
Predictive Modeling For Time Series Data
Challenges In Time Series Forecasting
Time Series Classification Methods
Machine Learning For Sensor Time Series
Temporal Data Mining Techniques
Time Series Analysis In Healthcare
Machine Learning For Climate Data
Data Preprocessing For Time Series Analysis
Future Trends In Time Series Research
Machine Learning For Energy Time Series
Time Series Data Integration Methods
Collaborative Time Series Analysis
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.