Android applications are develo** rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

Abstract Machine learning methods hold promise for personalized care in psychiatry,
demonstrating the potential to tailor treatment decisions and stratify patients into clinically …

It is popular to evaluate the performance of classification algorithms by k-fold cross
validation. A reliable accuracy estimate will have a relatively small variance, and several …

Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach
to structural equation modeling (SEM), designed to overcome the apparent dichotomy …

Early prediction of mental health issues among individuals is paramount for early diagnosis
and treatment by mental health professionals. One of the promising approaches to achieving …

Objective: We aim to provide an algorithm for the detection of myocardial infarction that
operates directly on ECG data without any preprocessing and to investigate its decision …

Concrete is the most widely used construction material throughout the world. Extensive
experiments are conducted every year to study the physical, mechanical, and chemical …

In develo** countries, one-quarter of young women have suffered from anemia. However,
the available studies in Ethiopia have been usually used the traditional stastical methods …

Dimensional accuracy in additive manufacturing (AM) is still an issue compared with the
tolerances for injection molding. In order to make AM suitable for the medical, aerospace …

Abstract Language abnormalities are a core symptom of schizophrenia-spectrum disorders
and could serve as a potential diagnostic marker. Natural language processing enables …