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FAIML 2019 2019 : 2019 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2019)


When Jul 26, 2019 - Jul 28, 2019
Where Rome,Italy
Submission Deadline Feb 28, 2019
Notification Due Feb 28, 2019
Final Version Due Feb 28, 2019
Categories    artificial intelligence   machine learning

Call For Papers

★2019 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2019)  - Ei Compendex & Scopus—Call for paper 
July 26-28, 2019|Rome,Italy|Website:

★Researchers, scientists, engineers and industry professionals will join together this year at FAIML 2019, 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 2019 presents one of 2019’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
July 26, 2019: Registration + Icebreaker Reception
July 27, 2019: Opening Ceremony+ KN Speech+ Technical Sessions 
July 28, 2019: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1. PDF version submit via CMT:
2.Submit Via email directly to:

Ms. Tiya T. Deng

Call for papers(
• Artificial Intelligence and Technology
• Natural Language Processing
• Computer Vision
• Bioinformatics
• Robotics and Related Fields
• Expert Systems
• Multi-agent Systems
• Speech Understanding
• Knowledge Engineering
• Distributed Intelligent Processing
• Concurrent and Parallel Processing
• Intelligent Database Systems
• Supervised and Unsupervised Learning
• Neural Network Theory and Architectures
• Hardware Implementations
• Fuzzy Logic
• Fuzzy Optimisation
• Fuzzy Control
• Fuzzy Computing with Words
• Theory of Evolutionary Algorithms
• Evolutionary Design
• Evolutionary Scheduling and Optimisation
• Rough Sets Theory: Foundations and Applications
• Data Mining
• Artificial Intelligence in Scheduling and Optimization
• Artificial Intelligence in Modelling and Simulation

• Various Applications

• Machine learning

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