Abstract Chronic Kidney Disease (CKD) is a common ailment with significant public health
implications, underscoring the critical importance of early detection and diagnosis for …

Sign languages are complex, but there are ongoing research efforts in engineering and data
science to recognize, understand, and utilize them in real-time applications. Arabic sign …

In addressing the complex challenge of real-time and precise recognition of umpire signals
in sporting events, we introduce ICCG-YOLO, a rapid and effective approach that builds …

The increasing prevalence of colon and lung cancer presents a considerable challenge to
healthcare systems worldwide, emphasizing the critical necessity for early and accurate …

Recent sign language skeletal-based feature models (SLSm) consist of various distracting
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …

Along with day-to-day communication, receiving medical care is quite challenging for the
hearing impaired and mute population, especially in develo** countries where medical …

Lack of an effective early sign language learning framework for a hard-of-hearing population
can have traumatic consequences, causing social isolation and unfair treatment in …

Sign Language Recognition (SLR) systems are crucial bridges facilitating communication
between deaf or hard-of-hearing individuals and the hearing world. Existing SLR …

This study introduces an innovative multichannel approach that focuses on the features and
configurations of fingers in isolated sign language recognition. The foundation of this …

The dynamic two-hand Sign Language Recognition system is effective for individuals with
speech and hearing impairments, and it also plays a crucial role in computer vision …