Modeling thermoelectric performance of p-type Cu3SbSe4-based chalcogenide materials using decision trees and structural risk error minimization intelligent computational methods. [PDF]
Alharbi FS.
europepmc +1 more source
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang +7 more
wiley +1 more source
Unveiling postpartum PTSD: predicting risk factors using decision trees and logistic regression in Chinese women. [PDF]
Nie XF +6 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Comprehensive Experimental Analysis of the Effect of Drilled Material on Torque Using Machine Learning Decision Trees. [PDF]
Hnátik J +6 more
europepmc +1 more source
Comparative genomics of Gondwana‐diverged Pila and Pomacea reveals parallel evolution of aerial oviposition. Convergent chromosomal rearrangements reshape regulatory landscapes within topologically associating domains. Lineage‐specific gene family expansions and viral‐derived perivitelline proteins (PV1) underpin desiccation resistance.
Yufei Zhou +10 more
wiley +1 more source
Diagnosis model for gastric submucosal tumor based on multiple decision trees comprising endoscopic and endoscopic ultrasonography features. [PDF]
Su S +11 more
europepmc +1 more source
On the Depth of Decision Trees with Hypotheses. [PDF]
Moshkov M.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Regularized impurity reduction: accurate decision trees with complexity guarantees. [PDF]
Zhang G, Gionis A.
europepmc +1 more source

