Advanced Machine Learning for Massive Sensing Data

Dear Colleagues,

Various unmanned and industry systems employ a massive number of sensing data, such as unmanned transportation/vehicle systems, manufacturing automation, energy management/applications and so on. Given the advancements in machine learning algorithm performance, it is now possible to analyze and utilize a large number of sensing data for diverse applications, though the limitations of learning time, cost, etc., must be considered. Deep reinforcement learning algorithms have been particularly utilized in industrial applications to control processes, prevent hazards, improve safety and save energy. However, advanced machine learning must be improved to address the limitations of its application of a massive number of sensing data.

This Special Issue is focused on all kinds of machine learning algorithms handling a large number of sensing data.

Dr. Yunsick Sung
Dr. Sang-Geol Lee
Guest Editors

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