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 explores the integration of blockchain technology in predictive modeling applications within computer science. It aims to discuss innovative methodologies that enhance the accuracy and reliability of predictive models through decentralized data management.
This session focuses on the application of supervised learning techniques to improve blockchain-based systems. Participants will present research on algorithmic advancements that optimize data processing and decision-making in blockchain environments.
This track examines the role of unsupervised learning in enhancing data security within blockchain frameworks. Discussions will center on novel approaches to anomaly detection and feature extraction that bolster the integrity of distributed ledger systems.
This session delves into the application of deep learning techniques to optimize smart contract performance and security. Researchers will share insights on how machine learning models can predict contract outcomes and mitigate risks.
This track highlights the intersection of blockchain technology and industrial IoT for effective anomaly detection. Presentations will cover case studies and frameworks that utilize blockchain to enhance system monitoring and predictive maintenance.
This session focuses on the automation of workflows using blockchain technology to streamline processes in computer science engineering. Contributions will include methodologies that leverage distributed ledgers for efficient task management and process optimization.
This track addresses the challenges of model evaluation in the context of blockchain applications. Researchers will discuss metrics and frameworks that ensure the robustness and reliability of machine learning models deployed on blockchain platforms.
This session explores the integration of digital twin technologies with blockchain to enhance asset tracking and management. Presentations will focus on innovative applications that leverage real-time data for improved operational efficiency.
This track investigates risk assessment methodologies tailored for blockchain applications in computer science. Participants will share frameworks that identify, evaluate, and mitigate risks associated with distributed ledger technologies.
This session examines the synergy between blockchain technology and artificial intelligence for process optimization. Researchers will present findings on how these technologies can collaboratively enhance operational workflows and decision-making.
This track focuses on the advancements in asset tracking facilitated by blockchain technology. Discussions will center on case studies that demonstrate the effectiveness of decentralized systems in enhancing transparency and traceability in asset management.