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

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