Results 51 to 60 of about 12,484 (262)
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Advanced Engineering Materials, EarlyView.Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
SFDA-CD: A Source-Free Unsupervised Domain Adaptation for VHR Image Change Detection
Remote SensingDeep models may have disappointing performance in real applications due to the domain shifts in data distributions between the source and target domain. Although a few unsupervised domain adaptation methods have been proposed to make the pre-train models
Jingxuan Wang, Chen Wu
doaj +1 more source
Unsupervised Domain Adaptation by Mapped Correlation Alignment
IEEE Access, 2018 The goal of unsupervised domain adaptation aims to utilize labeled data from source domain to annotate the target-domain data, which has none of the labels.
Yun Zhang +3 more
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Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising
IEEE Access, 2022 Deep neural networks have shown great improvements in low-dose computed tomography (CT) denoising. Early deep learning-based low-dose CT denoising algorithms were primarily based on supervised learning.
Jaa-Yeon Lee +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Molten KNO2 treatment induces a lowrefractive index disordered carbon shell on fluorescent nanodiamonds, enhancing fluorescence emission while preserving spin coherence. Machine learningassisted correlative TEMPL enables direct single‐particle resolution of this enhancement relative to air‐oxidized nanodiamonds of similar morphology, establishing a ...
Parkarsh Kumar +10 more
wiley +1 more source
UAV-based Unsupervised Domain Adaptation for Road Extraction [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesDespite advances in Deep Learning (DL) for road extraction, this task remains challenging. First, domain shifts in data distribution hinder the inference of pre-trained models to new areas, leading to a drop in classification accuracy.
G. R. Collegio +3 more
doaj +1 more source
Cross-Device Profiled Side-Channel Attack with Unsupervised Domain Adaptation
Transactions on Cryptographic Hardware and Embedded Systems, 2021 Deep learning (DL)-based techniques have recently proven to be very successful when applied to profiled side-channel attacks (SCA). In a real-world profiled SCA scenario, attackers gain knowledge about the target device by getting access to a similar ...
Pei Cao, Chi Zhang, Xiangjun Lu, Dawu Gu
doaj +1 more source
ConDA: Continual Unsupervised Domain Adaptation
, 2021 10pages, 4 ...
Taufique, Abu Md Niamul +2 more
openaire +2 more sources
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source