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    ICMLCA 2020 - 2020 International Conference on Machine Learning and Computer Application(ICMLCA 2020)

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    Website http://www.icmlca.org/chinese?lang=en | Edit Freely

    Category ICMLCA2020,International Conference on Machine Learning,Computer Application

    Deadline: August 21, 2020 | Date: August 28, 2020-August 30, 2020

    Venue/Country: Shangri-La, China

    Updated: 2020-06-11 16:31:15 (GMT+9)

    Call For Papers - CFP

    CONFERENCE INFORMATION:

    Submission Deadline: July 06, 2020

    Website:http://www.icmlca.org/

    Conference Date:September 11-13, 2020

    Venue:Shangri-La, China

    Indexing:EI Compendex/ Scopus/ CNKI/ SCI

    We would like to welcome you to the 2020 International Conference on Machine Learning and Computer Application(ICMLCA2020)in Shangri-La,, China during September 11-13, 2020.This unique international conference provides a forum for academics, researchers and practitioners from many industries to exchange ideas and share recent developments in the fields of Machine Learning, Computer Application and Robotic. We provide an opportunity to collaborate and advance the theory and practice of major trends in related fields and as a bridge for scholars to share and inspire their opinion.

    We warmly invite you to participate in ICMLCA 2020 and look forward to seeing you in Shangri-La,!

    CALL FOR PAPER

    Machine Learning

    Computer Applications

    Robotic

    l Human-robots interface and interaction

    l Machine Learning Applications

    l Machine learning for 5G system

    l Machine learning for multimedia

    l Machine learning for Internet of Things

    l Machine learning for network slicing optimization

    l Machine learning for security and protection

    l Machine learning for user behavior prediction

    l Machine Learning in knowledge-intensive systems

    l Machine Learning Methods and analysis

    l Machine Learning Problems

    l Machine Learning Techniques for Big Data

    l Machine Learning Trends

    l Mechanism design and applications Robotic Automation and Control

    l Mobile sensor networks

    l Modeling and identification

    l Multi-agent Systems

    l Multi-Robot systems

    l Natural Language Processing

    l Neural Network Theory and Architectures

    l New innovative machine learning methods

    l AI Architecture and Practice

    l AI Model and Algorithm

    l AI Product and Innovation

    l Algorithms

    l Artificial Intelligence and Technology

    l Artificial Intelligence in Modelling and Simulation

    l Artificial Intelligence in Scheduling and Optimization

    l Case Studies and Theories in Cloud Computing

    l Cloud Computing Architecture

    l Computational Chemistry and Biology

    l Computer vision and object recognition

    l Concurrent and Parallel Processing

    l Coordination in robotics

    l Data Science

    l Data Streaming Applications

    l Data visualization and Modern Technologies

    l Deep and Reinforcement learning

    l Distributed and decentralized machine learning algorithms

    l Distributed Intelligent Processing

    l Intelligence Language & Speech

    l Intelligent wireless communications

    l Intelligent wireless sensor networks

    l Internet of Things

    l Activity/behavior recognition

    l Adaptive and flexible industrial robotics

    l Agriculture robots

    l AI Planning for robotics

    l Cognitive robotics

    l Evolutionary Design

    l Evolutionary robotics and reactive intelligence

    l Evolutionary Scheduling and Optimization

    l Experimental evaluations of machine learning

    l Field Robots

    l Human-computer interaction

    l Humanoid robotics

    l Hybrid Learning Models and Methods

    l Medical robots and bio-robotics

    l Micro robots and micro-manipulation

    l Mobile robotics

    l Mobile robots localization and navigation

    l Modelling and simulating complex robots

    l Robot behavior engineering

    l Robot control

    l Robot learning and adaptation

    l Robot sensing and data fusion

    l Robotic drives

    l Robotic Kinematics

    l Robotic surveillance

    l Robotics

    l Robotics and Artificial Intelligence

    l Robotics and Related Field

    Publication

    *All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of ICMLCA 2020 will be published byJournal of Physics: Conference Series (JPCS)and indexed by EI Compendex and Scopus.

    *High quality papers will be recommended for publication in SCI journal.

    Journal 1 (ISSN: 1546-2218, IF=3.024): CMC-Computers Materials & Continua

    Journal 2 (ISSN: 1687-5281, IF=1.534): EURASIP Journal on Image and Video Processing

    Journal 3 (ISSN: 1017-9909, IF=0.924): Journal of Electronic Imaging

    Journal 4 (ISSN: 1433-7541, IF=1.41): Pattern Analysis and Applications

    All SCI submissions must not be less than 8 pages in length.

    Please submit your origin papers to SCI Submission System and note "SCI-ICMLCA".

    P.S. Please do not submit your paper to both conference proceedings and SCI Journal.

    Submission Methods

    1.The submitted papers must not be under consideration elsewhere.

    2.Please send the full paper(word+pdf) to SUBMISSION SYSTEM

    3.Please submit the full paper, if presentation and publication are both needed.

    4.Please submit the abstract only, if you just want to make presentations.

    5.Should you have any questions, or you need any materials in English, please contact us at ICMLCA@163.com

    Registration

    For the publication on ICMLCA 2020 conference proceedings:

    Items---Registration fee (By RMB) ---Registration fee (By US Dollar)

    Regular Registration (4 pages)---3000 RMB / per paper---450 USD / per paper

    Additional Paper (4 pages)---2800 RMB / per paper---430 USD / per paper

    Extra Pages (Begin at Page 5)---300 RMB / per extra page---50 USD/ per extra page

    Attendees without Papers---1200 RMB / per person---180 USD / per person

    ★Attendees without Paper (Group)---1000 RMB / per person(≥ 3 persons)---150 USD / per person(≥ 3 persons)

    Purchase Extra Journal---500RMB / book---75 USD/ book

    Note: The specific arrangement is subject to the manual of the 2020 International Conference on Machine Learning and Computer Applications (ICMLCA 2020)

    Listener Registration

    Join as Presenter: If you are interested in giving presentation on conference, without publishing your paper in the proceeding, you can choose to attend ICMLCA 2020 as a Presenter. As presenter, you need to submit the abstract and title of your presentation before register. For further information, please contact us at: ICMLCA@163.com

    Join as Listener: ICMLCA 2020 is an unmissable conference. It is a good chance and an effective platform to meet many renowned experts and researches in the field of Machine Learning, Computer Application and Robtic. You are welcome to attend this great event. You need to complete the registration as Listener before the registration deadline.

    Program

    Schedule

    September 11---13:30pm-18:00pm---Registration

    September 12---09:00am-12:00am---Speeches of Keynote Speakers

    September 12---12:00pm-14:00pm---Lunch

    September 12---14:00pm-18:00pm---Oral Presentations

    September 12---19:00pm-20:00pm---Banquet

    September 13---09:00am-18:00pm---Academic Investigation

    CONTACT US

    Conference Secretary: Abby Lei

    E-mail: ICMLCA@163.COM

    Tel: +86-18702044440 (WeChat)

    +86-13925093729 (WeChat)

    Submission: AIS Submission System


    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.