Invitation to Submit
제출 안내
The International Conference on Deep Neural Networks and Optimization Techniques , 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 Deep Neural Networks and Optimization Techniques , 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
Optimization Techniques For Neural Networks
Deep Learning Architectures For Data Analysis
Applications Of Neural Networks In Industry
Challenges In Training Deep Neural Networks
Transfer Learning In Deep Learning Models
Ethics Of Ai And Neural Networks
Real-world Applications Of Optimization Techniques
Visualization Of Neural Network Performance
Data-driven Approaches In Optimization Research
Case Studies Of Neural Network Applications
Future Trends In Deep Learning Optimization
Collaborative Tools For Neural Network Research
Impact Of Ai On Optimization Problems
Deep Learning For Image Processing Tasks
Neural Networks In Predictive Modeling
Role Of Ai In Decision-making Processes
Data Preprocessing For Neural Networks
Interdisciplinary Approaches To Optimization
Deep Learning For Time Series Analysis
Neural Networks In Healthcare Applications
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.