For safety, reliability, and uninterrupted output of gas turbines, aviation engines, power-
generating equipment, pumps, gears, compressors etc., rotor mass imbalance must be …

Accurately detecting and counting abnormal fish behaviors in aquaculture is essential.
Timely detection allows farmers to take swift action to protect fish health and prevent …

To properly treat a cancer patient, radiologists must first review a large volume of cancer
images. Based on this information, the appropriate treatment is prescribed. However, the …

Falls can cause significant harm, and even death, to elderly individuals. Therefore, it is
crucial to have a highly accurate fall detection model that can promptly detect and respond …

Deep learning (DL) is increasingly recognized for its effectiveness in analyzing and
forecasting complex economic systems, particularly in the context of Pakistan's evolving …

This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in
Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology that …

In recent years, Deep Convolutional Neural Networks (DCNNs) have been widely used to
solve Radio Frequency (RF) fingerprinting task. DCNNs are capable of learning the proper …

With the blooming interest in computer vision-based technologies for future automation of
food producers, there is a need for incorporating an automatic bruise detection module in …

The transformation of fashion through online platforms has spurred a need for high-quality
clothing search engines, facilitating seamless product discovery for global consumers …

Fault recorded data has been proven to be effective for fault diagnosis of overhead
transmission lines. Utilizing deep learning to mine potential fault patterns in fault recording …