Results 41 to 50 of about 4,058 (185)
GPU based building footprint identification utilising self-attention multiresolution analysis
Techniques for the semantic segmentation of remotely sensed imageries for building footprint identification have been widely studied and several supervised and unsupervised techniques have been proposed. The ability to perform online mapping and accurate
Rizwan Ahmed Ansari +2 more
doaj +1 more source
Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka +2 more
wiley +1 more source
From Wavelet Analysis to Fractional Calculus: A Review
In this note, we review some important results on wavelets, together with their main applications. Similarly, we present the main results on fractional calculus and their current applications in pure and applied science. We conclude the paper showing the
Emanuel Guariglia +2 more
doaj +1 more source
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source
Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi +4 more
wiley +1 more source
DIAGNOSTIC OF THE COMBUSTION PROCESS USING THE ANALYSIS OF CHANGES IN FLAME LUMINOSITY
Monitoring of the combustion process is carried out in order to ensure its efficiency and stability. Selected aspects of the combustion process diagnostics using the analysis of changes in flame luminosity for two configurations: 100% pulverized coal ...
Żaklin Grądz, Joanna Styczeń
doaj +1 more source
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee +5 more
wiley +1 more source
Estimating Plant Species Richness With Sentinel and Landsat Data Across Ecosystems in China
438 field plots were used to estimate plant diversity across ecosystems; 18 spectral indices were derived from Sentinel and Landsat data; EVI, DVI, PSRI, NDVI, PRI, GNDVI, and GMEVI were identified as powerful indicators for predicting plant alpha diversity.
Keman Wang +4 more
wiley +1 more source
The Eastern Himalayan Syntaxis (EHS), which is located at the southeastern edge of the Qinghai–Xizang Plateau, is a key region for understanding mountain‐building and subduction processes. Bouguer gravity anomalies derived from the Earth Gravitational Model 2008 free‐air anomaly data following topographic corrections, were analyzed.
Rui Zhang +5 more
wiley +1 more source
On multiresolution analysis of multiplicityd
A multiresolution analysis (MRA) of multiplicity \(d\) of \(L^2({\mathbb{R}}^n)\) is a generalization of the usual MRA, where the sample spaces are generated by a refinable vector of \(d\) functions. The paper is concerned with the multivariate case, where the dilation matrix is \(2I\).
DE MICHELE, LEONEDE +1 more
openaire +3 more sources

