Results 121 to 130 of about 85,041 (313)
Spiking neural networks (SNNs) offer an energy-efficient alternative to conventional deep learning by emulating the event-driven processing manner of the brain. Incorporating Transformers with SNNs has shown promise for accuracy. However, they struggle to learn high-frequency patterns, such as moving edges and pixel-level brightness changes, because ...
Yuetong Fang +5 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Enhancing crystallinity through thermal annealing leads to amplifying the chiroptical activity of TiO2 nanohelices (NHs) fabricated by glancing angle deposition, ascribed to the suppression of charge trapping. The enhanced chiroptical activity can be converted into pronounced dissymmetric photocatalytic kinetics of circularly polarized photocatalysis ...
Ying Wang +3 more
wiley +1 more source
The Adequateness of Wavelet Based Model for Time Series [PDF]
, 2013 In general, time series is modeled as summation of known information i.e. historical information components, and unknown information i.e. random component. In wavelet based model, time series is represented as linear model of wavelet coecients. Wavelet
Rosadi, Dedi +3 more
core
Distribution Transformer Winding Fault Detection Based on Hybrid Wavelet-CNN
International Transactions on Electrical Energy SystemsThis paper presents a new decision logic approach for protecting and distinguishing internal faults in power transformers. This method uses the feature extraction technique based on wavelet transform and artificial neural network.
Orkhan Afandi, Atabak Najafi
doaj +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
Advanced Functional Materials, EarlyView.We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
Multidimensional Empirical Wavelet Transform
SIAM Journal on Imaging SciencesThe empirical wavelet transform is a data-driven time-scale representation consisting of an adaptive filter bank. Its robustness to data has made it the subject of intense developments and an increasing number of applications in the last decade. However, it has been mostly studied theoretically for signals and its extension to images is limited to a ...
Charles-Gérard Lucas, Jérôme Gilles
openaire +3 more sources
High Performance Durable Vanadium Dioxide Spectral Selective Modulation Smart Windows
Advanced Functional Materials, EarlyView.Crystallinity‐enhanced VO2 nanoparticles with a self‐limited amorphous oxidation shell achieve an order of magnitude durability improvement and high spectral selective modulation performance (luminous transmittance of 28.5%, solar modulation of 10.5%, and mid‐infrared emissivity modulation of 0.5) for smart windows.
Bin Li +7 more
wiley +1 more source
Discrete and Continuous Wavelet Transform with different choices of analyzing wavelets [PDF]
, 2008 Si presentano una nuova forma della continuous wavelet transform per lo studio delle anomalie magnetiche e gravimetriche e dei campi di potenziale in ...
FEDI, MAURIZIO
core
Wavelet Transformations in Signal Detection
IFAC Proceedings Volumes, 1988 It is pointed out that in the analysis of transient signals such as those encounters in speech, or in certain kinds of image processing, standard Fourier analysis is often non satisfactory because the basic functions of the Fourier analysis (sines, cosines, complex exponentials) extend over infinite time, whereas the signals to be analyzed are short ...
openaire +1 more source
A Bioinspired Sensory‐CAPode With Dual Functionality: Logic Gate and Real‐Time Biosensing
Advanced Functional Materials, EarlyView.An electrochemical capacitor diode (CAPode) redefines the frontier of iontronics by seamlessly unifying logic computing and biosensing within a single biocompatible platform. Inspired by nature's own ion‐channel circuitry, this elegant ionic system transforms complex chemical signals into precise electrical responses, paving the way for next‐generation
Hanfeng Zhou +10 more
wiley +1 more source