Leukemia refers to a type of blood malignancy that develops due to certain hematological
disorders. Identifying leukemia at its earlier stages through clinical operations are highly …

Abstract Analysis of disorders in the human body using computational methods had given
greater impact for diagnosis and cure. Vibroarthrographic signals are noninvasive modality …

Earlier identification of knee joint pathology helps the therapist to provide the appropriate
clinical procedures to control the deteriorating process of arthritis. Beyond usual medical …

Utilizing IoT devices for automated signal extraction and data processing is a cornerstone of
Computer-Aided Diagnostics, addressing various clinical challenges. Among these …

Data deduplication in a system perspective is termed to be a single or multiple copy of an
original data which could increase the computational complexity while accessing such a …

Computational identification and classification of clinical disorders gather major importance
due to the effective improvement of machine learning methodologies. Cancer identification …

Disorder diagnosis at an earlier stage plays a vital role in the prediction and classification of
samples in clinical support systems. Machine learning methods are gaining major …

This study explores the intricate relationship between biomechanical movements and
musical expression, focusing on the identification of musical styles and emotions. Violin …

Prolonged sitting in office environments poses significant occupational health risks,
necessitating effective ergonomic interventions. This study investigated the biomechanical …

Athletes performing high-intensity movements such as sprinting, jumping, and powerlifting
rely on precise muscle coordination to generate the necessary forces for efficient movement …