Results 191 to 200 of about 95,824 (290)
Discrete Wavelet Transform based ECG classification using gcForest: A deep ensemble method. [PDF]
Lin M, Hong Y, Hong S, Zhang S.
europepmc +1 more source
EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques. [PDF]
Alturki FA +3 more
europepmc +1 more source
This work demonstrates a phase‐engineered MoS2 photodetector that dynamically switches among photocapacitive (PCC), photovoltaic (PV), and photoconductive (PC) modes. By transforming the traditionally parasitic capacitance into an active signal source, the device achieves self‐powered, high‐sensitivity detection with a fast response of 19.2 ms, and a ...
Xinyu Li +16 more
wiley +1 more source
Identification of broken conductor faults in interconnected transmission systems based on discrete wavelet transform. [PDF]
Rashad BA +4 more
europepmc +1 more source
Use of Discrete Wavelet Transform to Assess Impedance Fluctuations Obtained from Cellular Micromotion. [PDF]
Tung TH +4 more
europepmc +1 more source
Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang +9 more
wiley +1 more source
CNN-based noise reduction for multi-channel speech enhancement system with discrete wavelet transform (DWT) preprocessing. [PDF]
Cherukuru P, Mustafa MB.
europepmc +1 more source
Phase Function Effects on Identification of Terahertz Spectral Signatures Using the Discrete Wavelet Transform. [PDF]
Khani ME, Winebrenner DP, Arbab MH.
europepmc +1 more source
A cascade‐responsive MXene@Cu‐MOF/GelMA hydrogel is engineered as a “skeleton–backpack” platform for extensive tracheal repair. The MXene framework scavenges postoperative ROS and converts NIR light into mild hyperthermia, while the Cu‐MOF component provides pH/NIR‐responsive Cu2+ dosing for infection control, angiogenesis, and chondrogenesis.
Liang Guo +8 more
wiley +1 more source
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source

