Results 101 to 110 of about 8,931 (167)

Adaptive deep residual network for image denoising across multiple noise levels in medical, nature, and satellite images

Ain Shams Engineering Journal
This research introduces the Adaptive Deep Residual Network (AdResNet), a deep convolutional neural network designed for effective image denoising in computer vision applications.
Mary Charles Sheeba, Christopher Seldev Christopher   +1 more
doaj   +1 more source

Rainfall Field Reconstruction From Commercial Microwave Links via a Conditional Diffusion Model

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract High‐resolution rainfall field reconstruction is a critical task in hydrological applications, with significant implications for flood forecasting, water resource management, and urban resilience. Conventional remote sensing instruments such as rain gauges and weather radars suffer from sparse coverage or high operational costs, while ...
Xinwu Ji, Yicheng Cai, Xin Zheng, JiaQuan Wan, Yufang Shen, Tao Yang, Ji Chen   +6 more
wiley   +1 more source

Paired CycleGAN‐based virtual staining for 3D X‐ray histology of bone‐implant systems

Journal of Synchrotron Radiation, Volume 33, Issue 4, Page 1110-1125, July 2026.
This work demonstrates virtual staining for 3D X‐ray histology using a modified CycleGAN trained on paired synchrotron radiation microtomography (SR‐µCT) and histology images of bone‐implant specimens. The method enables the generation of artificially coloured contrast resembling conventional histological staining from label‐free SR‐µCT data and is ...
Sarah C. Irvine, Christian Lucas, Diana Krüger, Bianca C. Guedert, Julian Moosmann, Berit Zeller-Plumhoff   +5 more
wiley   +1 more source

Enhancing Noise Reduction with Bionic Wavelet and Adaptive Filtering

Inteligencia Artificial
Speech signals often contain different forms of background and environmental noise. For the development of an efficient speech recognition system, it is essential to preprocess noisy speech signals to reduce the impact of these disturbances.
Shraddha C, Chayadevi M L , Anusuya M A , Vani H Y   +3 more
doaj  

A PERFORMANCE STUDY OF TWO JPEG COMPRESSION APPROACHES

Journal of Intelligent Systems and Applied Data Science
As technology continues to advance, and the transition into the digital age, we find ourselves dealing with an ever-expanding volume of information, often leading to challenges in management.
Doaa Elmourssi, Wahida A. Mansouri, Wiam A. Elyass, Salwa H. Othman, Somia Asklany   +4 more
doaj  

Application driven, AMC-based cross-layer optimization for video service over LTE

EURASIP Journal on Wireless Communications and Networking, 2011
In this paper, we propose a cross-layer optimization scheme in which the application layer controls the medium access network (MAC) and physical (PHY) layers in long-term evolution (LTE, from 3rd generation partnership project [3GPP] release 8) to ...
Kwon Yongil, Suh Doug, Kim Sung, Hong Een   +3 more
doaj  

Damage Characterization of Composite Structures Using Difference Peak Signal-to-Noise Ratio as a Function of Variable Wavelets (ΔPSNR-ΔW)

Engineering, 2016
openaire   +2 more sources

A Robust Multivariate Thresholding Function for Sparse and Biomedical Signal Reconstruction. [PDF]

Sensors (Basel)
Ullah H, Gaire S, Graves CA.
europepmc   +1 more source

Image reconstruction from incomplete data via approximated pseudo-inverse and dual-domain coupled diffusion posterior sampling. [PDF]

Quant Imaging Med Surg
Xing Q, Zheng Z, Cai A, Wang C, Li L, Yan B.   +5 more
europepmc   +1 more source

Digital media pattern design compression and optimization method based on K-means clustering and LLE dimensionality reduction. [PDF]

PLoS One
Liu B, Zhou S, Sun J, Liu X, Lu W.
europepmc   +1 more source