Results 241 to 250 of about 2,499,187 (379)
Copper Single‐Atom Decorated Microfibrous Catalysts for Continuous‐Flow Reduction of Nitroarenes
Herein, a Cu‐single‐atom decorated, microfibrous catalyst (Cu1/CMF) is fabricated for chemoselective reduction of nitroarenes, demonstrating a superior processing capacity of 1.92 mmol mgcat−1 h−1 and superior durability (≥ 25 cycles) in a continuous‐flow manner.
Jiahan Zhao +12 more
wiley +1 more source
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning. [PDF]
Dai W, Wang Y, Yan S, Yu Q, Cheng X.
europepmc +1 more source
Localization of the complex spectrum: the S transform
R. Stockwell, L. Mansinha, R. P. Lowe
semanticscholar +1 more source
Non Separable Two Dimensional Discrete Wavelet Transform for Image Signals
Masahiro Iwahashi, Hitoshi Kiy
openalex +2 more sources
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou +17 more
wiley +1 more source
Research on scraper conveyor load prediction method based on wavelet transform and BP neural network. [PDF]
Zhang D, Qin J, Wu W, Zhu Y, Guo W.
europepmc +1 more source
A human identification technique using images of the iris and wavelet transform
W. Boles, B. Boashash
semanticscholar +1 more source
Fluorescent nanodiamonds (fNDs) have emerged as an invaluable quantum sensing platform for biological and biochemical systems. This paper investigates the influence of common surface functionalization strategies for bioconjugation on the quantum properties of nitrogen vacancy (NV) centers in nanodiamonds.
Anja Sadžak +6 more
wiley +1 more source
Epileptic seizure detection from electroencephalogram signals based on 1D CNN-LSTM deep learning model using discrete wavelet transform. [PDF]
Kashefi Amiri H, Zarei M, Daliri MR.
europepmc +1 more source

