Machine Learning-Based Prediction of Stacking Fault Energy in High-Manganese Steels: A Comparative Study of Ensemble and Kernel Methods. [PDF]
Tiwari S, Heo SJ, Park N.
europepmc +1 more source
Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex. [PDF]
Awate SP, Leahy RM, Joshi AA.
europepmc +1 more source
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source
Scalable randomized kernel methods for multiview data integration and prediction with application to Coronavirus disease. [PDF]
Safo SE, Lu H.
europepmc +1 more source
Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods. [PDF]
Vizcaíno IP +4 more
europepmc +1 more source
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
Enhanced cricket match prediction using kernel methods for feature extraction and back-propagation neural networks. [PDF]
Dhinakaran K, Anbuchelian S.
europepmc +1 more source
Multiobjective optimization for model selection in kernel methods in regression. [PDF]
You D, Benitez-Quiroz CF, Martinez AM.
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Exponential concentration in quantum kernel methods. [PDF]
Thanasilp S, Wang S, Cerezo M, Holmes Z.
europepmc +1 more source

