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 …

Classifying electrocardiogram (ECG) signals into different heart disease classes requires a
series of computationally complex signal processing models. According to the …

Heart disease is the significant reason of increasing death in worldwide. The early prediction
of heart disease is obtained as a challenging role and this prevents severe heart diseases …

The demand for agricultural products increased exponentially as the global population grew.
The rapid development of computer vision-based artificial intelligence and deep learning …

The abnormalities present in human body need to be detected accurately and precisely for
effective treatment by radiologist/doctors, that can be obtained by imaging techniques like …

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 …

Cardiovascular diseases (CVD) are among the deadliest illnesses that suffer many people
worldwide. Nevertheless, an on-time diagnosis of heart disease can play a significant role in …

Cardiovascular diseases (CVDs) are common diseases that impact the heart or vascular
system. Since early discovery significantly improves survival chances, precise prediction …

The generation of a huge volume of structured, semi-structured and unstructured real-time
health monitoring data and its storage in the form of electronic health records (EHRs) need …