Results 121 to 130 of about 3,906,906 (309)
A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang+7 more
wiley +1 more source
MGPT: A Multi‐task Graph Prompt Learning Framework for Drug Discovery
MGPT is a unified multi‐task graph prompt learning model providing generalizable and robust graph representations for few‐shot drug association prediction. MGPT demonstrates the ability of seamless task switching and outperforms competitive approaches in few‐shot scenarios.
Yang Li+4 more
wiley +1 more source
Teaching Research in Probability Theory and Mathematical Statistics Modeling Idea [PDF]
Li Zhang
openalex +1 more source
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li+5 more
wiley +1 more source
Capability of Mathematical Probability Tables to Treat Resonance Interference among Isotope [PDF]
Basma Foad Borai
openalex +1 more source
A multianchor transfer learning method, SemiLT, enables accurate cell label annotation in sparse scATAC‐seq data by leveraging well‐annotated scRNA‐seq references. By addressing temporal discrepancies between modalities, SemiLT improves rare cell type identification and batch correction.
Zhitong Chen+3 more
wiley +1 more source
Modelling students' cognitive achievement skills using the alpha power transformed Lindley probability distribution. [PDF]
Dugasa SJ, Arero BG.
europepmc +1 more source
New trends in gender and mathematics performance: a meta-analysis.
S. Lindberg+3 more
semanticscholar +1 more source
Nanoscale Ti–Ge–Te films were fabricated via magnetron co‐sputtering, exhibiting the exceptional thermal stability, low resistance drift, and superior mechanical flexibility. Density functional theory reveals Ti doping can convert GeTe to a direct bandgap semiconductor and enhance covalent Ti–Te bonding. Flexible phase‐change memory devices demonstrate
Han Gu+7 more
wiley +1 more source