Results 161 to 170 of about 883,011 (303)
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu+3 more
wiley +1 more source
Interpretable decision trees through MaxSAT. [PDF]
Alòs J, Ansótegui C, Torres E.
europepmc +1 more source
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek+7 more
wiley +1 more source
Establishment of a differential diagnosis method and an online prediction platform for AOSD and sepsis based on gradient boosting decision trees algorithm. [PDF]
Zhou D+11 more
europepmc +1 more source
Decision-tree based neural network (Extended abstract) [PDF]
Irena Ivanova, Miroslav Kubát
openalex +1 more source
This review highlights recent advancements in 3DP techniques that incorporate emerging multifunctional SMP materials for applications in e‐electronics, soft actuators, biomedical devices, and more. Abstract Shape memory polymers (SMP) have recently gained significant attention as multifunctional materials for flexible and wearable electronics ...
Muhammad Yasir Khalid+4 more
wiley +1 more source
Regularized impurity reduction: accurate decision trees with complexity guarantees. [PDF]
Zhang G, Gionis A.
europepmc +1 more source
Interactive visualisation for predictive modelling with decision tree induction [PDF]
Tu Bao Ho, Trong Dung Nguyen
openalex +1 more source
Enhancing Damage Tolerance of Structures Using 3D/4D Printing Technologies
This review highlights recent advances in damage tolerance for structural design, emphasizing safety, durability, and reliability in fields like aerospace and civil engineering. It covers innovations in materials, 3D/4D printing, predictive design methods, and nature‐inspired strategies.
Morteza Sayah Irani+3 more
wiley +1 more source
RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg+5 more
wiley +1 more source