For machine learning algorithms, fine-tuning hyperparameters is a computational challenge
due to the large size of the problem space. An efficient strategy for adjusting …

Facial emotion expressions are among the most potent, natural, and powerful means of
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …

In this review, we explore the growing role of artificial intelligence (AI) in advancing the
biomedical applications of human pluripotent stem cell (hPSC)‐derived organoids. Stem cell …

Waste biomass pyrolysis is a promising thermochemical conversion process for the
production of biofuels and sustainable materials. However, it is challenging to accurately …

This study addresses the challenges associated with emergency department (ED)
overcrowding and emphasizes the need for efficient risk stratification tools to identify high …

This paper aims to enhance the prediction accuracy of hydrogen solubility in aqueous
solution, which is crucial for safe and efficient underground hydrogen storage (UHS). The …

Machine-learning (ML) methods often utilized in applications like computer vision,
recommendation systems, natural language processing (NLP), as well as user behavior …

The aim of this investigation was to delve into the impact of abrasive water jet machining
(AWJM) process variables on the surface roughness (R a) and kerf angle (K a) of hybrid fiber …

The explosive growth of the domain of the Internet of things (IoT) network devices has
resulted in unparalleled ease of productivity, convenience, and automation, with Message …

The research on the application of machine learning (ML) methods in the field of earthquake
engineering shows a continuous and rapid progress in the last two decades. ML methods …