Results 151 to 160 of about 21,063 (212)
KD-SSGD: knowledge distillation-enhanced semi-supervised germination detection. [PDF]
Chen C +6 more
europepmc +1 more source
At the genomic level, a large number of differentially expressed genes (DEGs) and aging‐related DEGs have been screened. Ten hub genes, such as IFNγ and IRF7, have been identified and shown potential value in the diagnosis of PD, holding promise as novel biomarkers to facilitate early and precise diagnosis.
Haojie Wu +3 more
wiley +1 more source
Metal‐free Hydrogen Generation from Seawater and Silicon Waste: A Circular Approach
Hydrogen was rapidly generated directly from untreated seawater and polymeric Si waste without any transition metal catalyst. The in situ generated polymeric cross‐linked Si resin was completely depolymerized under mild conditions into chloro‐silane monomers.
Mustapha Hamdaoui +6 more
wiley +2 more sources
Efficient Fall Detection from Wrist-Worn IMU Signals via Knowledge Distillation: A Lightweight CNN Approach Using the UMAFall Dataset. [PDF]
Taheri A, Salehi M, Kim JH.
europepmc +1 more source
Bowl‐shaped Janus nanomotors with platinum, iron oxide, and polypyrrole integrate catalytic, magnetic, and electric propulsion for targeted drug delivery. They demonstrate controlled, directional motion under varying pH and hydrogen peroxide conditions, with optimal performance in neutral media.
Kimia Tavakoli Dehaghi +3 more
wiley +1 more source
Color‐pure all‐organic emitters, i.e., with narrow spectral characteristics, are intensively studied for high‐definition organic LEDs and multi‐color bioimaging. In order to guide targeted materials design, this educative review discusses spectral characteristics, proper definitions and units, and the physical basis of spectral broadening, to distill ...
Johannes Gierschner +6 more
wiley +2 more sources
CDCM: A counterfactual debiased calibration method based on knowledge distillation for stance detection. [PDF]
Zhao H +7 more
europepmc +1 more source
Multimodal Knowledge Distillation for Emotion Recognition. [PDF]
Zhang Z, Lu G.
europepmc +1 more source
Multimodal Emotion Recognition Using Modality-Wise Knowledge Distillation. [PDF]
Lee S, Ahn Y, Shin JW.
europepmc +1 more source

