Today's teenagers are dealing with anxiety and stress. Anxiety, depression, and suicide
rates have increased in recent years because of increased social rivalry. The research is …

This paper provides a new method for stress management-focused predictive modeling of
healthcare workers' well-being via cloud computing and machine learning. The need for …

Stress is a mental health problem that is hazardous if not recognized early. A promising
approach for noninvasive stress detection involves leveraging camera technology; however …

Stress is a widespread mental health concern affecting millions worldwide. Timely stress
detection and management are vital for overall well-being and the prevention of chronic …

Cognitive health issues in the aging global population need innovative technologies. A
Raspberry Pi-implemented SVM classifier, cognitive computing, and cloud connection …

The demand for vegetables in Batubara Regency is extremely high. Currently, the supply of
vegetables is still imported from Tanah Karo and Deli Serdang Regency. This is due to the …

No matter if a patient is receiving care at home or in a hospital, monitoring them is an
essential part of healthcare. Currently, many hospitals use a manual method to measure …

This research explores the potential of Internet of Things (IoT)-enabled wearable sensors in
conjunction with machine learning techniques for real-time, non-invasive stress monitoring …

Abstract The Internet of Things (IoT) has become the main platform for the interaction of
interconnected devices, representing a new paradigm and the next step in the evolution of …