A recently developed language representation model named Bidirectional Encoder
Representation from Transformers (BERT) is based on an advanced trained deep learning …

Inherent bias in the artificial intelligence (AI)-model brings inaccuracies and variabilities
during clinical deployment of the model. It is challenging to recognize the source of bias in AI …

Recognizing facial expressions is a major challenge and will be required in the latest fields
of research such as the industrial Internet of Things. Currently, the available methods are …

The study investigated the Effect of Employee Motivation on Organizational Performance of
selected manufacturing firms in Enugu State. The objectives of the study include among …

In broad terms, it can be said that the existing video surveillance systems with automatic face
recognition and manual face detection in crewless aerial vehicles (UAVs') video frames did …

At the beginning of the 21st century, human life has become increasingly dependent on
security. At this point, the cost is the essential consideration. This approach can reduce …

Recently, researchers have sought to find the ideal way to recognize human actions through
video using artificial intelligence due to the multiplicity of applications that rely on it in many …

Customer satisfaction and loyalty are essential for every business. Feedback prediction and
social media classification are crucial and play a key role in accurately identifying customer …

This paper proposes a light field (LF) three-dimensional (3D) particle image velocimetry
(PIV) method based on a digital refocused algorithm and 3D U-Net neural network for 3D …

Breast cancer is the second most prevalent form of cancer and is the" leading cause of most
cancer-related deaths in women". Most women living in low-and middle-income countries …