The prevalence of stress-related disorders has increased significantly in recent years,
necessitating scalable methods to identify affected individuals. This paper proposes a novel …

Stroke is a severe illness, that requires early stroke detection and intervention, as this would
help prevent the worsening of the condition. The research is done to solve stroke prediction …

Emergency vehicle detection plays a critical role in ensuring timely responses and reducing
accidents in modern urban environments. However, traditional methods that rely solely on …

Nowadays, traffic congestion is a significant issue globally. The vehicle quantity has grown
dramatically, while road and transportation infrastructure capacities have yet to expand …

This study aims to enhance the cybersecurity framework of pacemaker devices by identifying
vulnerabilities and recommending effective strategies. The objectives are to pinpoint …

Failure to predict stroke promptly may lead to delayed treatment, causing severe
consequences like permanent neurological damage or death. Early detection using deep …

The presence of software defects significantly impacts the quality of software systems and
increases development and maintenance costs. To improve system quality and reduce …

The brain is considered to be the principal anatomical component of the human body. A
stroke is a medical condition defined by cerebral injury that occurs as a consequence of …

This paper proposes an embedded system for efficient, real-time brain stroke prediction.
While many machine learning techniques achieve high accuracy, their implementation on …

Breast cancer is a prominent form of cancer that is frequently detected and is a primary
cause of mortality in women. Healthcare organizations prefer to utilize ultrasound imaging …