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★2020 2nd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2020) - Ei Compendex & Scopus—Call for paper
April 20-22, 2020｜Berlin, Germany｜Website: www.faiml.org
★Researchers, scientists, engineers and industry professionals will join together this year at FAIML 2020, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of Frontiers of Artificial Intelligence and Machine Learning is entering an era of unprecedented change and innovation. FAIML 2020 presents one of 2020’s premiere opportunities to hear from and network with an international array of experts on the ever evolving state of the field.
★Publication and Indexing
All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers will be recommended to be published in journals.
★Program Preview/ Program at a glance
April 20: Registration + Icebreaker Reception
April 21: Opening Ceremony+ KN Speech+ Technical Sessions
April 22: Technical Sessions+ Half day tour/Lab tours
★Paper Submission
1. PDF version submit via CMT: https://cmt3.research.microsoft.com/FAIML2020
2.Submit Via email directly to: [email protected]
★CONTACT US
Ms. Tiya T. Deng
Email: [email protected]
Website: www.faiml.org
Call for papers(http://www.faiml.org/CFP):
• Artificial Intelligence and Technology
• Artificial Intelligence in Modelling and Simulation
• Artificial Intelligence in Scheduling and Optimization
• Bioinformatics
• Computer Vision
• Concurrent and Parallel Processing
• Data Mining
• Distributed Intelligent Processing
• Evolutionary Design
• Evolutionary Scheduling and Optimisation
• Expert Systems
• Fuzzy Computing with Words
• Fuzzy Control
• Fuzzy Logic
• Fuzzy Optimisation
• Hardware Implementations
• Intelligent Database Systems
• Knowledge Engineering
• Machine learning
• Multi-agent Systems
• Natural Language Processing
• Neural Network Theory and Architectures
• Robotics and Related Fields
• Rough Sets Theory: Foundations and Applications
• Speech Understanding
• Supervised and Unsupervised Learning
• Theory of Evolutionary Algorithms
• Various Applications
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