ICSES 2020
Scopus-Indexed Springer International Conference on Sustainable Expert Systems [ICSES 2020]
Lalitpur, Nepal
27 August - 29 September 2020
The conference ended on 29 September 2020
Important Dates
Abstract Submission Deadline
28th August 2020
Abstract Acceptance Notification
31st August 2020
Final Abstract / Full Paper Deadline
1st September 2020
About ICSES 2020
International Conference on Sustainable Expert Systems [ICSES 2020] is a refereed conference with a primary focus on the research information related to Artificial Intelligence [AI], Sustainability, and Expert Systems applied in almost all the areas of industries, government sectors, and educational institutions worldwide. The main thrust of the conference is to publish the papers that deal with the design, implementation, development, testing, and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.
Topics
Data communication systems, Artifical intelligenceCall for Papers
Sustainable Technology
- Sustainable Data Centers
- Artificial Intelligence for Sustainability
- Computing for Sustainability
- Energy-Efficient Software Engineering Practices
- Environmentally sustainable technologies
- Sustainability aware system development
- Sustainable process control and automation
- Sustainable practices in future generation smart systems
- Reliable and Energy-efficient systems
- Sustainable Informatics and Optimization
- Security, privacy, and trust
- Sustainable Communication Models
- Sustainable Management Systems
- Intelligent Embedded Systems
- Cloud Computing and High-performance Computing
- Human-Computer Interaction
- Knowledge Engineering
- Machine Vision and Analysis
- Ubiquitous Computing
- Expert Systems Development
- Fuzzy Sets and logic
- Machine learning
- Hybrid intelligent systems
- Big Data
- Natural language processing
- Multi-agent systems
- Neural networks
- Intelligent System Architectures
- Problem-solving Methods
- Smart Autonomous Systems
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