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 advancements in big data frameworks that enhance data processing capabilities. Researchers are encouraged to present their findings on scalable architectures and their applications in various industries.
This session will delve into novel machine learning algorithms that improve predictive analytics in diverse fields. Contributions should highlight the effectiveness of these algorithms in real-world applications and their impact on decision-making.
This track examines the integration of artificial intelligence into existing IT infrastructures to optimize performance. Papers should explore case studies and frameworks that demonstrate successful AI implementations.
This session addresses the intersection of cloud computing and big data, focusing on solutions that enhance data accessibility and processing. Participants are invited to discuss innovative cloud-based architectures and their implications for IT strategies.
This track emphasizes the role of data engineering in the development of intelligent systems. Submissions should explore methodologies that facilitate the efficient processing and analysis of large datasets.
This session investigates the automation of data analytics processes to improve efficiency and accuracy. Researchers are encouraged to present tools and techniques that streamline data analysis workflows.
This track focuses on scalable computing solutions that address the challenges posed by big data applications. Contributions should highlight innovative approaches to enhance computational efficiency and resource management.
This session explores the role of business intelligence in facilitating data-driven decision-making processes. Papers should discuss frameworks and tools that enable organizations to leverage big data for strategic insights.
This track highlights optimization techniques that enhance the performance of machine learning models. Submissions should focus on novel approaches that improve model accuracy and computational efficiency.
This session examines how big data analytics drives innovation within IT sectors. Researchers are invited to present case studies that illustrate the transformative impact of data-driven solutions on business practices.
This track focuses on the application of AI-enabled analytics to improve system efficiency across various domains. Contributions should explore methodologies that integrate AI techniques with traditional analytics to yield superior outcomes.