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
Enzymatic DNA Reaction Networks for Orchestrating Stimuli‐Dependent Temporal Molecular Pulse
We present an enzymatic DNA reaction network (EDRN) that encodes nucleic‐acid targets in time, converting inputs into a universal strand and then into programmable transient fluorescence pulses. With time‐color multiplexing, EDRN enables single‐tube high‐plex nucleic acid detection and shows strong agreement with clinical sequencing across 32 specimens.
Jiayu Yang +7 more
wiley +1 more source
First order alternating decision trees
An alternating decision tree is a model that generalizes decision trees and boosted decision trees. The main advantages of alternating decision trees over boosting regular decision trees are that they are easier to interpret for human experts and that ...
Blockeel, Hendrik +4 more
core
Unveiling postpartum PTSD: predicting risk factors using decision trees and logistic regression in Chinese women. [PDF]
Nie XF +6 more
europepmc +1 more source
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 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
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
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
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

