A hybrid ACO-random forest optimization framework for scalable microalgae biomass estimation using multispectral imaging. [PDF]
Kolawole KK +5 more
europepmc +1 more source
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini +3 more
wiley +1 more source
Unsupervised Random Forest Identifies Important Genetic Prognostic Factors for Breast Cancer Survival Time. [PDF]
Goldberg B, Pederson EN, Ouyang Z.
europepmc +1 more source
Printed 2.5D‐Microstructures with Material‐Specific Functionalization for Tunable Biosensing
The 2.5D‐MiSENSE platform integrates a microstructured biosensor with an in‐line milking pipeline to enable real‐time detection of mastitis biomarkers during active milk flow. The system uses a 2.5D microengineered surface and patterned electrodes to enhance milk–sensor interaction.
Matin Ataei Kachouei +2 more
wiley +1 more source
Enhancing software effort estimation with random forest tuning and adaptive decision strategies. [PDF]
A G PV, K AK, S R.
europepmc +1 more source
Identification of differential gene expression for microarray data using recursive random forest
Xiaoyan Wu, Zhenyu Wu, Kang Li
openalex +1 more source
Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley +1 more source
Deep exploration and precise identification of key risk factors for diabetic peripheral neuropathy using the random forest algorithm. [PDF]
Li Y, Li Y, Sen G, Hu B.
europepmc +1 more source

