Deep learning (DL) models achieved a lot of success due to the availability of labeled
training data. In contrast, labeling a huge amount of data by a human is a time-consuming …

The COVID-19 pandemic has created a demand for rapid and accurate testing to detect the
coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images have been used …

Precise and timely diagnosis of Covid-19 and pneumonia is crucial for effective treatment.
However, the traditional RT-PCR method is time-consuming, costly, and prone to incorrect …

Simple Summary Laryngeal cancer poses a major global health burden, with late-stage
diagnoses contributing to decreased survival rates. Recently, deep learning and deep …

In this paper, a dynamic gesture recognition system is proposed using triaxial acceleration
signal and image-based deep neural network. With our dexterous glove device, 1D …

Despite its extensive range of potential applications in virtual reality and augmented reality,
3D hand pose estimation from RGB image remains a very challenging problem. The …

Land-area classification (LAC) research offers a promising avenue to address the intricacies
of urban planning, agricultural zoning, and environmental monitoring, with a specific focus …

The use of computers has become an integral part of our daily lives, and they are utilized in
various fields. However, traditional input devices such as a mouse and keyboard can …

Hand gesture recognition using a camera provides an intuitive and promising means of
human-computer interaction and allows operators to execute commands and control …

Magnetic Resonance Imaging (MRI) has emerged as a fundamental tool in the field of
medical diagnostics, offering detailed insights into anatomical structures. As the demand for …