8th ISCEAS November 23 – 25, 2023 / KYOTO, JAPAN
International Scientific Conference on Engineering and Applied Sciences
Artificial Intelligence is based on the research of fundamental and applied sciences. Through the evolution of information and engineering, it has gradually penetrated and changed not only ourlives but our work style, which has resulted in bringing new experiences and convenience. AI is creating a new economy and a new business model. It is changing how we work and how we communicate. At this conference, we will cover AI strategy, implementation, and various use cases in the industry. And we will touch on AI technology from Autonomous-Driving to Computer Visioning, Face Recognition, RPA and other trending technologies.
2023 International Scientific Conference on Engineering and Applied Sciences (ISCEAS) is an international platform for scholars, researchers and practitioners to discuss interdisciplinary research and practices in the fields of engineering and applied sciences. 2023 ISCEAS will take place from November 23 - 25, 2023 in KYOTO, JAPAN. The scholars are encouraged to submit full papers or abstracts on any aspect of engineering and applied sciences. All manuscripts submissions should be made using online submission system. If you have additional questions, please contact conference staffs at isceas@isceas.org
SPECIAL SESSION
"Artificial Intelligence and Sustainable Development"
This conference features a special session on "Artificial Intelligence and Sustainable Development". Submissions to this session will not be classified into separate disciplines,
but will be presented and discussed together. We hope to enrich the content of this theme through these submissions.Welcome all submission related to below topics, but not limit to
Sustainable manufacturing using AI
Smart cities and AI
AI for renewable energy
Natural language processing for sustainability
AI for sustainable agriculture
Machine learning for sustainable transportation
AI for sustainable building design
AI for environmental monitoring and management
AI for environmental monitoring and management
AI for circular economy
ACADEMIC SESSIONS
Biological Engineering
Chemical Engineering
Civil Engineering
Computer and Information Sciences
Electrical and Electronic Engineering
Environmental Science
Fundamental and Applied Sciences
Power & Energy Engineering
Material Science and Engineering
Mechanical Engineering
System and Naval Mechatronic Engineering
