An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
This track focuses on the latest methodologies and applications of predictive modeling in various engineering domains. Researchers are invited to present their findings on enhancing prediction accuracy through innovative techniques.
This session aims to explore the distinctions and applications of supervised and unsupervised learning in computer science engineering. Contributions that highlight novel algorithms or frameworks are particularly encouraged.
This track will delve into the transformative impact of deep learning technologies across engineering disciplines. Participants are invited to share case studies and research that demonstrate practical applications and outcomes.
This session addresses the challenges and solutions related to anomaly detection within complex engineering systems. Submissions that present new techniques or frameworks for effective anomaly identification are welcome.
This track focuses on innovative methods for feature extraction and representation in data-intensive engineering applications. Researchers are encouraged to discuss their approaches to improving data interpretability and model performance.
This session will explore the development and implementation of expert systems in engineering contexts. Contributions that address knowledge representation techniques and their practical implications are highly sought after.
This track examines the role of workflow automation in enhancing efficiency and productivity in engineering processes. Papers that showcase successful automation strategies and their outcomes are encouraged.
This session focuses on the integration of system monitoring techniques with predictive maintenance strategies. Researchers are invited to present their work on improving system reliability and reducing downtime.
This track will address the critical aspects of model evaluation and the development of performance metrics in machine learning applications. Contributions that propose new evaluation frameworks or metrics are particularly welcome.
This session explores the intersection of industrial IoT and intelligent systems, focusing on innovative solutions for real-time data processing and decision-making. Researchers are encouraged to share insights on enhancing operational efficiency through IoT technologies.
This track investigates the application of fuzzy logic in the development of decision support systems for engineering challenges. Papers that demonstrate the effectiveness of fuzzy approaches in complex decision-making scenarios are invited.