Latest AI and machine learning research in menopause for healthcare professionals.
Unsymmetrical dimethylhydrazine (UDMH) is a toxic and environmentally hostile compound that was mass...
Although non-contrast computed tomography (NCCT) is the recommended examination for the suspected a...
Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only com...
One way to improve annotation efficiency is active learning. The goal of active learning is to selec...
CoViD19 is a novel disease which has created panic worldwide by infecting millions of people around ...
Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Wit...
Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods were use...
Underwater fish monitoring is the one of the most challenging problems for efficiently feeding and h...
This work is devoted to the problems of one of the most common screening examinations used in medica...
AIMS: This study aims to predict poor glycemic control during Ramadan among non-fasting patients wit...
Causal discovery from observational data is a fundamental problem in science. Though the linear non-...
At present, the assessment of mental retardation is mainly based on clinical interview, which requir...
The detection of sleep apnea is critical for assessing sleep quality. It is also a proven biometric ...
Dry eye disease (DED) is a common eye condition worldwide and a primary reason for visits to the oph...
Artificial intelligence techniques were explored to assess the ability to anticipate self-harming be...
In this article, a novel control algorithm is developed for a class of nonlinear stochastic systems ...
Non-preference-based patient-reported outcome measures (PROMs) are popular in health outcomes resear...
BACKGROUND: To determine the maturity of cantaloupe, measuring the soluble solid content (SSC) as th...
INTRODUCTION: Incisional hernias can complicate up to 25% of laparotomies, and successful repair rem...
BACKGROUND: The non-local module has been primarily used in literature to capturing long-range depen...
Quantification of uncertainty in deep-neural-networks (DNN) based image registration algorithms play...