Serum Untargeted Metabolomics Integrated with SHAP-Based Machine Learning for Multiclass Stratification of Prostate Cancer, Prostatitis, and Benign Prostatic Hyperplasia. [PDF]
Wang Z +6 more
europepmc +1 more source
Predicting the next purchase date for an individual customer using machine learning
Marli Droomer
openalex +1 more source
The representative individuals approach to fair machine learning
Clinton Castro, Michele Loi
openaire +1 more source
Nickel‐based alloys are widely used in high‐temperature applications due to their excellent mechanical strength and oxidation resistance. However, properties such as high‐temperature strength and pronounced work‐hardening make them difficult to machine.
Soheil Rooein +2 more
wiley +1 more source
Comparison of logistic regression and machine learning methods for predicting depression risks among disabled elderly individuals: results from the China Health and Retirement Longitudinal Study [PDF]
Shanshan Hong +3 more
openalex +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Dietary oxidative balance and renal impairment in diabetes identified by machine learning and functional analysis. [PDF]
Chen X +7 more
europepmc +1 more source
Effect of Laser Deoxidation on Adhesive‐Bonded Aluminum in an Oxygen‐Free Atmosphere
This study investigates laser ablation of aluminum under oxygen‐free conditions. The goal is to produce oxide‐free substrates that enable improved adhesive bonding with epoxy. Optimized laser parameters (90% overlap, 300 µJ) combined with oxide‐free substrates result in the highest tensile strength of the adhesive bond.
Sandra Gerland +5 more
wiley +1 more source
Machine learning helps to strongly reduce future warming uncertainty. [PDF]
Li C +5 more
europepmc +1 more source

