Applications of Machine Learning and Convolutional Neural Networks

Dear Colleagues,

In recent years, Artificial Intelligence (AI) has been widely used in various fields, and there are many research areas within this domain such as machine learning and deep learning. Machine learning approaches are traditionally divided into three broad categories: supervised learning, unsupervised learning and reinforcement learning. Convolutional neural networks play important roles in machine learning/deep learning. Applications of machine learning and convolutional neural networks are now pervasive in many fields beyond conventional computer engineering areas. The aim of this Special Issue is to discuss new ideas and recent experimental results in convolutional neural network applications and to promote the contemporary use of convolutional neural networks for addressing challenging tasks. We welcome studies and applications that propose methods based on different architectures of convolutional neural networks.

Topics of interest include, but are not limited to, the following:

• artificial intelligence tools and applications;
• automatic control;
• natural language processing;
• computer vision and speech understanding;
• data mining and analysis;
• supervised and unsupervised learning;
• heuristic and AI planning strategies;
• intelligent system;
• robotics;
• evolutionary and genetic algorithms;
• applications for automatic driving;
• applications for 3D point clouds;
• classification and recognition.

Prof. Dr. Cheng-Yuan Tang
Guest Editor

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• machine learning
• convolutional neural networks
• artificial intelligence
• deep learning