A Review on Registration Techniques for Cardiac Computed Tomography and Ultrasound Images. [PDF]
Li Z, He H, Wang Q, Li L, Gao H, Li J.
europepmc +1 more source
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Genetic structure analysis of a Northwest Chinese population using a self-developed DIP system and machine learning for forensic ancestry inference. [PDF]
Cai M +6 more
europepmc +1 more source
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
Task Scheduling of Multiple Humanoid Robot Manipulators by Using Symbolic Control. [PDF]
Özbaltan M +5 more
europepmc +1 more source
A Steerable and Expandable Magnetic Aspiration Catheter for Enhanced Aspiration Thrombectomy
This article presents a novel magnetic aspiration catheter (MAC) that can be both actively steered and undergo distal‐end expansion via externally applied magnetic fields. The MAC facilitates precise branch selection and enhances clot engagement by improving endovascular navigation and aspiration efficiency. Phantom experiments validate its feasibility
Hakjoon Lee +7 more
wiley +1 more source
Bioinspired Optimization for Feature Selection in Post-Compliance Risk Prediction. [PDF]
Paz Á +10 more
europepmc +1 more source
ABSTRACT The Robodebt scheme issued thousand‐dollar debts to an estimated half a million people who had received social security. The debts were largely inaccurate and illegal, with the aim of improving the federal government's budget. The 2023 Royal Commission into the Robodebt Scheme found that the stigmatising political and public language about ...
Ella Kruger, Phillipa Evans
wiley +1 more source
Machine learning-based study of the predictors of clinically important change in patient-reported outcomes in bilateral upper-limb function in patients receiving robotic stroke rehabilitation. [PDF]
Chen YW, Lin KC.
europepmc +1 more source
ABSTRACT Australia's Robodebt scheme, an automated debt recovery program introduced in 2016, was exposed by the Robodebt Royal Commission (RC) as a serious failure of public administration and source of significant harm for thousands of Australians. Through a critical discourse analysis (CDA) of Australian news media, this study explores whether the RC'
Rebecca Coleman‐Hicks +1 more
wiley +1 more source

