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    7th International Conference on Artificial Intelligence and Machine Learning

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    Website https://pencis.com/7th-international-conference-on-artificial-intelligence-and-machine-learning/ | Want to Edit it Edit Freely

    Category artificial intelligence;information technology

    Deadline: February 14, 2020 | Date: February 14, 2020-February 15, 2020

    Venue/Country: tokyo, Japan

    Updated: 2019-09-13 17:32:35 (GMT+9)

    Call For Papers - CFP

    Original Abstracts are invited from Industry Persons, Scientist, Academician, Research Scholars, P.G. & U.G. Students for presentation in our Conference.All abstracts must in MS-Word (.doc or .docx) format including the title, Authors name, affiliation of all authors, e-mail, abstract, keywords, Conclusion, Acknowledgment, and References.

    The topics of Interest of the Conference includes but not limited to

    Artificial Intelligence Tools and Applications

    Neural Networks

    Fuzzy Systems

    Natural Language Processing

    Social Implication of Artificial Intelligence

    Human Computer Collaboration

    Multimedia & Cognitive Informatics

    Image Processing

    Computer Graphics

    Drones Design

    Robotics and Vision

    Autonomous Computing

    Pattern Recognition and Machine Learning

    Human Behavior Recognition

    Feature Selection

    Semi Supervised Learning

    Fuzzy System

    Speech Recognition

    Ethics in Information System

    Social Network Analysis

    Information Security

    Sequential Pattern Mining

    Spatial Mining

    Sentiment Analysis

    Data Analytics & Business Intelligence

    Classification

    Clustering

    Regression

    Feature Selection

    Intelligent System

    Smart Systems Development

    Internet of Things

    Android Applications

    Mobile Applications

    Web Designing

    Intelligent Automation


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.