Cardiovascular disease holds the position of being the foremost cause of death worldwide.
Heart Disease Prediction (HDP) is a difficult task as it needs advanced knowledge with …

Deep learning (DL) approaches provide predictive analysis capabilities for heart-related
diseases (HRD), enabling early pattern detection and identification of associated risk factors …

Change detection is essential for understanding the human and natural relationship. Rapid
urbanization leads to ecosystem imbalance. The change detection using the remote sensing …

Maize is an important crop cultivated in Sub-Saharan Africa, essential for food security.
However, its cultivation faces significant challenges due to debilitating diseases such as …

Early diagnosis of illness is critical for timely initiation of treatment and ultimately curing of
the patient. This is especially important for diseases in which fatality rate is high like heart …

Myocardial infarction (MI) remains a significant contributor to global mortality and morbidity,
necessitating accurate and timely diagnosis. Current diagnostic methods encounter …

Simple Summary While melanoma accounts for 4% of skin cancer cases, it causes 75% of
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …

Electrocardiogram (ECG) is a non-invasive medical tool that divulges the rhythm and
function of the human heart. This is broadly employed in heart disease detection including …

Target recognition mainly focuses on three approaches: optical-image-based, echo-
detection-based, and passive signal-analysis-based methods. Among them, the passive …

Aquatic ecosystems depend heavily on benthic macroinvertebrates for their essential
functions. They have become an indispensable part of pure water bio monitoring due to the …