There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones,
in different applications such as packages delivery, traffic monitoring, search and rescue …

As non-renewable energy sources are in the verge of exhaustion, the entire world turns
towards renewable sources to fill its energy demand. In the near future, solar energy will be …

Transformers, originally devised for natural language processing (NLP), have also produced
significant successes in computer vision (CV). Due to their strong expression power …

Transformers have significantly impacted domains like natural language processing,
computer vision, and robotics, where they improve performance compared to other neural …

Abstract The use of Artificial Intelligence (AI) and Machine Learning algorithms is surging in
education. One of these methods, called Reinforcement Learning (RL) may be considered …

In this paper, a novel approach is presented for modeling the interaction dynamics between
an ego car and a bicycle in a traffic scenario using a hybrid reinforcement learning …

Nanomanufacturing and digital manufacturing (DM) are defining the forefront of the fourth
industrial revolution—Industry 4.0—as enabling technologies for the processing of materials …

This paper reviews 17 studies addressing dynamic option hedging in frictional markets
through Deep Reinforcement Learning (DRL). Specifically, this work analyzes the DRL …

Considering the limited resources, user mobility and unpredictable driving environment in
intelligent driving, this paper studies the optimal training efficiency of federated learning for …

Deep convolution neural networks have proven their powerful ability in comparing many
tasks of computer vision due to their strong data learning capacity. In this paper, we propose …