Mental health, especially stress, plays a crucial role in the quality of life. During different
phases (luteal and follicular phases) of the menstrual cycle, women may exhibit different …

For humans, taste is essential for perceiving the nutrient content or harmful components of
food. The current method of taste sensory evaluation relies on artificial sensory evaluation …

Background and Aim: In the era of deep learning, numerous models have emerged in the
literature and various application domains. Transformer architectures, particularly, have …

Abstract The Internet of Medical Things (IoMT)-based Remote Patient Monitoring (RPM)
systems provide real-time data and insights about patients' conditions without the need for …

This study addresses the challenge of differentiating between bipolar disorder II (BD II) and
borderline personality disorder (BPD), which is complicated by overlapping symptoms. To …

In large-scale power systems, accurately detecting and diagnosing the type of faults when
they occur in the grid is a challenging problem. The classification performance of most …

Abstract Currently, electroencephalography (EEG)-based depression recognition using
deep learning methods has become an important approach for early diagnosis and …

Abstract Background and Objective: Healthcare institutions produce and retain a
considerable amount of health-associated information about patients, thus providing great …

Current assessments for generalized anxiety disorder (GAD) are often subjective and do not
rely on a standardized measure to evaluate the GAD across its severity levels. The lack of …

Non-invasive electroencephalography (EEG) is a technique for monitoring brain activity that
is valuable in the diagnosis and study of the brain. However, due to factors such as brain …