The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …

Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …

The growth of artificial intelligence (AI) has led to an increase in the adoption of computer
vision and deep learning (DL) techniques for the evaluation of microscopy images and …

Craters are one of the most important morphological features in planetary exploration. To
that extent, detecting, mapping and counting craters is a mainstream process in planetary …

Dyslexia is a learning disorder in which individuals have significant reading difficulties.
Previous studies found that using machine learning techniques in content supplements is …

Answer selection (AS) is a critical subtask of the open‐domain question answering (QA)
problem. The present paper proposes a method called RLAS‐BIABC for AS, which is …

Multiagent reinforcement learning (RL) training is usually difficult and time-consuming due to
mutual interference among agents. Safety concerns make an already difficult training …

Gamification is mainly used to increase user engagement and motivation, hence increasing
the user base and user activity. Defined by applying game elements to non-gaming contexts …

In recent years, driver distraction behaviors, such as eating, drinking, and making phone
calls, have become more and more frequent, especially during continuous driving. This …

The brain is one of the most important and complex organs responsible for controlling the
functions of the human body. Brain tumors are among the most lethal malignancies in the …