Results 111 to 120 of about 21,346 (310)

Hybrid Deep Learning and Discrete Wavelet Transform-Based ECG Biometric Recognition for Arrhythmic Patients and Healthy Controls. [PDF]

Sensors (Basel), 2023
Asif MS, Faisal MS, Dar MN, Hamdi M, Elmannai H, Rizwan A, Abbas M.   +6 more
europepmc   +1 more source

Influence of Outcoupling Layers on Top‐Emitting Perovskite Light‐Emitting Diodes

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
Top‐emitting perovskite LEDs offer benefits over typical bottom‐emitting architectures, toward lasing, improved thermal management, and on‐chip fabrication compatibility. Outcoupling layers offer a strategy uniquely applicable to top‐emitting LEDs to optimize EQE by improving optical outcoupling.
James C. Loy, Weiming Qiu, Diane Yang, Jack Scherlag, Jonathan Scott, Barry P. Rand   +5 more
wiley   +1 more source

Screening of Discrete Wavelet Transform Parameters for the Denoising of Rolling Bearing Signals in Presence of Localised Defects. [PDF]

Sensors (Basel), 2022
Brusa E, Delprete C, Gargiuli S, Giorio L.   +3 more
europepmc   +1 more source

A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction

, 2022
Eric Ofori-Ntow, Yao Yevenyo Ziggah, María João Rodrigues, Susana Relvas   +3 more
openalex   +1 more source

Phase Topology Stability of an Optical Vortex via an Electrically Controlled Twist‐Planar Oriented Liquid Crystal Fresnel Lens

Advanced Optical Materials, EarlyView.
A simple and efficient method for determining the stability of optical vortices via Fourier transform using a conventional spherical lens is presented. The theoretical and experimental results demonstrate a practical approach to directly and unambiguously measure the magnitude and sign of the topological charge of a beam without altering an ...
Elena Melnikova, Katsiaryna Pantsialeyeva, Dmitry Gorbach, Alexei Tolstik, Sergei Slussarenko Jr., Alina Karabchevsky   +5 more
wiley   +1 more source

Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks. [PDF]

PLoS One, 2023
Sperandio Nascimento EG, Ortiz J, Furtado AN, Frias D.   +3 more
europepmc   +1 more source

Benchmarking Organic Photodiodes at the Noise Floor

Advanced Optical Materials, EarlyView.
A precise measurement framework based on a calibrated, ultra‐low‐noise automated setup with open‐source Python scripts enables accurate benchmarking of photodiodes. The unique combination of time‐dependent current measurement under dark conditions, followed by continuous‐wave faint illumination, facilitates reliable extraction of photocurrent near ...
Siddhartha Saggar, Giedrius Puidokas, Caroline Murawski   +2 more
wiley   +1 more source

Improvements in the Wavelet Transform and Its Variations: Concepts and Applications in Diagnosing Gearbox in Non-Stationary Conditions

Applied Sciences
Wavelet transform is a powerful time-frequency-based analysis method often used in gear fault diagnostics. The development of wavelet transform is closely linked to the improvement of resolution.
Trong-Du Nguyen, Phong-Dien Nguyen
doaj   +1 more source

Intelligent Extraction of Salient Feature From Electroencephalogram Using Redundant Discrete Wavelet Transform. [PDF]

Front Neurosci, 2022
Wang XY, Li C, Zhang R, Wang L, Tan JL, Wang H.   +5 more
europepmc   +1 more source

Modeling and Improving Geometric Accuracy in Projection Multiphoton Lithography

Advanced Optical Materials, EarlyView.
A numerical framework describing the optical and photochemical processes is developed to elucidate the origins of geometric deviations in projection multiphoton lithography. The results indicate that oxygen diffusion and inhibition, and DMD diffraction, lead to geometric distortions.
Anwarul Islam Akash, Jason E. Johnson, Xianfan Xu   +2 more
wiley   +1 more source