This review discussed the dilemma of small data faced by materials machine learning. First,
we analyzed the limitations brought by small data. Then, the workflow of materials machine …

Data‐driven epoch, the development of machine learning (ML) in materials and device
design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …

Pulmonary hypertension (PH) is an uncommon yet severe condition characterized by
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …

Health monitor of bogie-bearing on the train can ensure constant operation of the rail transit
system. Since the metro or other rail transit have high safety requirements, it is hard to …

Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …

Antibiotic-resistant ESKAPE pathogens cause nosocomial infections that lead to huge
morbidity and mortality worldwide. Rapid identification of antibiotic resistance is vital for the …

Abstract Analysis of gene expression data is crucial for disease prognosis and diagnosis.
Gene expression data has high redundancy and noise that brings challenges in extracting …

Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …

Under horizontal federated learning (HFL) in the Internet of Things (IoT) scenarios, different
user data sets have significant similarities on the feature spaces, the final goal is to build a …