Highly sensitive acoustic sensing devices are essential for human‒machine interfaces and modern advanced artificial intelligence (AI) technology. Two-dimensional (2D) materials exhibiting atomically thin thickness and superior mechanical properties a... read more
This study employs machine learning (ML) models such as Decision Tree (DT), Extra Tree (ET), K-Nearest Neighbors (KNN), Support Vector Regressor (SVR) and Lasso to predict how Ta and Nb content effects the mechanical behavior of the CoCrFeNi HEAs at ... read more
Recommender systems are vulnerable to poisoning attacks due to their open nature, allowing attackers to inject malicious user profiles to deliberately manipulate recommendation results. Existing detection methods mainly focus on rating behaviors whil... read more
Wings are a key trait innovation in the evolutionary history of insects, and contributes to the largest diversity of animals on the planet. However, we still have an incomplete understanding of the functional changes in genes behind this diversificat... read more
Accurate classification of physical activity from accelerometer data is essential for health research and population-scale studies, yet the wide range of computational approaches has created inconsistencies in implementation, validation, and reproduc... read more
Road accidents caused by driver fatigue and cognitive overload remain a significant public safety concern. According to recent traffic safety data, drowsy driving contributes to thousands of fatal accidents each year, emphasizing the urgent need for ... read more
OBJECTIVE: To prospectively evaluate positional variability in quantitative CT (qCT)-derived measurements of interstitial lung abnormality (ILA) using the same-day supine and prone CT. MATERIALS AND METHODS: In this prospective study (February 2024-F... read more
OBJECTIVES: To investigate mammographic features associated with high artificial intelligence (AI) risk scores as provided by two AI models applied to screening mammograms. MATERIALS AND METHODS: This retrospective study included 130,031 screening ma... read more
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