Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

Despite the availability and ease of collecting a large amount of free, unlabeled data, the
expensive and time-consuming labeling process is still an obstacle to labeling a sufficient …

The medical field relies heavily on data analysis to accurately diagnose diseases. To
achieve this, various research methods must be filtered and appropriate equipment used …

The identification and prognosis of the potential for developing Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …

Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …

Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …

This study presents a novel technique for identifying individuals using feature extraction
methods and signal processing approaches. It uses an artificial neural network (ANN) …

Recently, the scientific community has become more interested in solar-driven steam
materials and systems for desalination and disinfection. Solar thermal energy for membrane …

Salivary biomarkers can improve the efficacy, efficiency, and timeliness of oral and
maxillofacial disease diagnosis and monitoring. Oral and maxillofacial conditions in which …

Korea is showing the fastest trend in the world in population aging; there is a high interest in
the elderly population nationwide. Among the common chronic diseases, the elderly tends to …