Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

Swedish researchers have developed diminutive laser technology with the potential to move certain types of medical sampling out of hospitals into patients’ homes. Laser technology that could lead to ...

Abstract: To improve the reliability and accuracy of UAV fault diagnosis under complex sensor dynamics and class imbalance, this paper proposes a multi-scale temporal sampling and deep ensemble ...

Stratified sampling is used to select a sample that is representative of different groups. If the groups are of different sizes, the number of items selected from each group will be proportional to ...

This project was conceived and executed by Jinyu Xiang together with OpenResearch Agent — an AI research agent built by Jinyu Xiang that co-designed experiments, wrote code, ran analyses, and ...

A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading Utility tensor and variable functions so ...

Patients with learning disabilities and needle phobia are benefiting from a painless new form of blood sampling pioneered by University Hospitals of Morecambe Bay NHS Foundation Trust. The initiative ...