Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus. [PDF]
Wang YX +6 more
europepmc +1 more source
A Domain Adaptation Sparse Representation Classifier for Cross-Domain Electroencephalogram-Based Emotion Classification. [PDF]
Ni T, Ni Y, Xue J, Wang S.
europepmc +1 more source
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
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Publisher Correction: scParser: sparse representation learning for scalable single-cell RNA sequencing data analysis. [PDF]
Zhao K, So HC, Lin Z.
europepmc +1 more source
The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation. [PDF]
Wei B, Feng X, Wang K, Gao B.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
SWI and CTP fusion model based on sparse representation method to predict cerebral infarction trend. [PDF]
Wu G +7 more
europepmc +1 more source
Decoding of Walking Imagery and Idle State Using Sparse Representation Based on fNIRS. [PDF]
Li H +5 more
europepmc +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source

