The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …

Recently, social touch gesture recognition has been considered an important topic for touch
modality, which can lead to highly efficient and realistic human‐robot interaction. In this …

From the autonomous car driving to medical diagnosis, the requirement of the task of image
segmentation is everywhere. Segmentation of an image is one of the indispensable tasks in …

Misdiagnosis of brain tumor types will prevent effective response to medical intervention and
decrease the chance of survival among patients. One conventional method to differentiate …

Industrial cloud computing and Internet of Things have transformed the healthcare industry
with the rapid growth of distributed healthcare data. Security and privacy of healthcare data …

Automatic handwriting recognition is an important component for many applications in
various fields. It is a challenging problem that has received a lot of attention in the past three …

The popularity of deep reinforcement learning (DRL) applications in economics has
increased exponentially. DRL, through a wide range of capabilities from reinforcement …

In order to improve the accuracy of emotional recognition by end-to-end automatic learning
of emotional features in spatial and temporal dimensions of electroencephalogram (EEG) …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …