Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Web of Science / Conference Proceedings Citation Index, DBLP, SCOPUS and EI.
SPECIAL SESSIONS LIST
MSCCES 2017, Special Session on Applications of Modeling and Simulation to Climatic Change and Environmental Sciences
Chair(s): Francisco Mugica, Carlos Gay and Àngela Nebot
Special Session on Applications of Modeling and Simulation to Climatic Change and Environmental Sciences -
MSCCES
2017
Paper Submission:
May 17, 2017 (expired)
Authors Notification:
May 31, 2017 (expired)
Camera Ready and Registration:
June 8, 2017 (expired)
Scope
The main objective of the session is to provide a forum to disseminate and discuss recent and significant research efforts in climate change and atmospheric sciences applications in modeling and simulation based on Computational Intelligence which have significant impact to society.
New, unusual and hybrid approaches used to deal with such applications are particularly encouraged. The session is therefore open to high quality submissions from researchers who should present original research and applications including innovative results.
Such applications could utilize the following topic areas of computational intelligence (but are not limited to):
• Genetic Computational Intelligence Systems including adaptive, hierarchical, evolutionary, neural and nature-inspired systems
• Hybrid systems of computational intelligence techniques
• Fuzzy optimization and design, decision analysis and support
• Fuzzy data analysis - clustering and classifiers, pattern recognition, bio-informatics
• Knowledge discovery, learning, reasoning, agents, knowledge representation
• Neural network theory & models
• Learning and adaptation Pattern recognition
• Neural control Hybrid systems
• Evolutionary neural systems Self-aware systems
• Complex systems Data mining and intelligent systems
• Constraint and uncertainty systems and applications
• Application optimization, decision analysis, decision making, multi-criteria decision making
• Applications of data mining/knowledge discovery techniques to improve understanding of environmental science datasets