2020 International Conference on Machine Learning and Computer Application(ICMLCA2020)
CFP
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Prospective authors are invited to submit technical papers of their previously unpublished work. All submissions should be written in English and should have 4 pages at least, including figures, all of them in the standard format pages. Ready versions of accepted papers exceeding four (4) pages,  will be allowed pending payment of overlength charges (50$ for each additional page), click for more fee details. 

 Topics of interest for submission included, but are not limited to:


Machine Learning          

  • Human-robots interface and interaction 

  • Machine Learning Applications

  • Machine learning for 5G system

  • Machine learning for multimedia

  • Machine learning for Internet of Things                              

  • Machine learning for network slicing optimization

  • Machine learning for security and protection

  • Machine learning for user behavior prediction

  • Machine Learning in knowledge-intensive systems

  • Machine Learning Methods and analysis

  • Machine Learning Problems

  • Machine Learning Techniques for Big Data

  • Machine Learning Trends

  • Mechanism design and applications Robotic Automation and Control

  • Mobile sensor networks

  • Modeling and identification

  • Multi-agent Systems

  • Multi-Robot systems 

  • Natural Language Processing

  • Neural Network Theory and Architectures

  • New innovative machine learning methods


Computer Applications

  • AI Architecture and Practice

  • AI Model and Algorithm

  • AI Product and Innovation

  • Algorithms 

  • Artificial Intelligence and Technology

  • Artificial Intelligence in Modelling and Simulation

  • Artificial Intelligence in Scheduling and Optimization

  • Case Studies and Theories in Cloud Computing

  • Cloud Computing Architecture

  • Computational Chemistry and Biology

  • Computer vision and object recognition 

  • Concurrent and Parallel   Processing

  • Coordination in robotics 

  • Data Science

  • Data Streaming Applications

  • Data visualization and Modern Technologies

  • Deep and Reinforcement learning

  • Distributed and decentralized machine learning algorithms

  • Distributed Intelligent Processing

  • Intelligence Language & Speech

  • Intelligent wireless communications

  • Intelligent wireless sensor networks

  • Internet of Things

  • Maintenance and Management of Cloud Computing

  • Many-Core Computing and Accelerators

  • Social Clouds (Social Networks in the Cloud)

  • Software computer Applications

  • Software Frameworks (MapReduce, Spark, etc) and Simulations

  • Tools and Framework


Robotic

  • Activity/behavior recognition

  • Adaptive and flexible industrial robotics 

  • Agriculture robots 

  • AI Planning for robotics

  • Cognitive robotics

  • Evolutionary Design

  • Evolutionary robotics and reactive intelligence 

  • Evolutionary Scheduling and Optimization

  • Experimental evaluations of machine learning

  • Field Robots

  • Human-computer interaction

  • Humanoid robotics 

  • Hybrid Learning Models and Methods

  • Medical robots and bio-robotics

  • Micro robots and micro-manipulation

  • Mobile robotics

  • Mobile robots localization and navigation 

  • Modelling and simulating complex robots 

  • Robot behavior engineering 

  • Robot control

  • Robot learning and adaptation 

  • Robot sensing and data fusion

  • Robotic drives

  • Robotic Kinematics

  • Robotic surveillance 

  • Robotics

  • Robotics and Artificial Intelligence

  • Robotics and Related Fields

  • Robotics structures

  • Space and underwater robots

  • Tele-robotics


Other related topics



  • PUBLICATION

    All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. All accepted and presented papers will be published in International Conference Proceedings Series, which will be indexed by EI Compendex and Scopus after the conference.

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