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 …

Predicting student outcomes is an essential task and a central challenge among artificial
intelligence-based personalised learning applications. Despite several studies exploring …

The DC microgrids possess numerous pros, including enhanced reliability, increased
efficiency, and a less complicated control system. Further, they provide a simplified system …

Optical Coherence Tomography (OCT) emerged as a technology for the detection of retinal
disease. Owing to its excellent performance and ability to provide in-vivo high-resolution …

Cyber threats are one of the main concerns in this growing technology epoch. To tackle this
issue, highly skilled and motivated cybersecurity professionals are increasingly in demand …

The accurate prediction of dam deformation is essential for ensuring safe and efficient dam
operation and risk management. However, the nonlinear relationships between deformation …

In our study, we explore the task of performing docking maneuvers between two unmanned
aerial vehicles (UAVs) using a combination of offline and online reinforcement learning (RL) …

Purpose The main objective of the study is to analyze the effectiveness of the advance
organizer model (AOM) versus the conventional teaching method (CTM) in teaching high …

As technology rapidly evolves, the application of bipedal robots in various environments has
widely expanded. These robots, compared to their wheeled counterparts, exhibit a greater …