Results 11 to 20 of about 20,846,472 (359)

Mid-level deep pattern mining [PDF]

open access: yes2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discriminative. In this work, we study this problem from the prospective of pattern mining while relying on the recently popularized Convolutional Neural Networks (CNNs).
Yao Li 0003   +3 more
openaire   +2 more sources

Influence of the content of impurities and structural defects on the properties of the Cd0.9Mn0.1Te:V-based detector

open access: yesТехнологія та конструювання в електронній апаратурі, 2023
The paper highlights the results of quantitative studies of the influence of the content of impurities and structural defects on the electrophysical and detector properties of Cd0.9Mn0.1Te:V — resistivity and concentrations of free charge carriers, life ...
Оleksandr Kondrik, Dmitriy Solopikhin
doaj   +1 more source

Dynamic Performance Characterization Techniques in Gallium Nitride-Based Electronic Devices

open access: yesCrystals, 2021
In this paper, we compare and discuss the main techniques for the analysis of the dynamic performance of GaN-based transistors. The pulsed current-voltage characterization provides information on the effect of different trapping voltages on various bias ...
Carlo De Santi   +4 more
doaj   +1 more source

Electric-Field Mapping of Optically Perturbed CdTe Radiation Detectors

open access: yesSensors, 2023
In radiation detectors, the spatial distribution of the electric field plays a fundamental role in their operation. Access to this field distribution is of strategic importance, especially when investigating the perturbing effects induced by incident ...
Adriano Cola   +2 more
doaj   +1 more source

Speech recognition with deep recurrent neural networks [PDF]

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist Temporal Classification make it possible to train RNNs for sequence labelling problems where the input-output alignment is ...
Alex Graves   +2 more
semanticscholar   +1 more source

Letter to the Editor

open access: yesSouth African Journal of Radiology, 2003
No abstract available.
Don Emby
doaj   +1 more source

Deep levels in AgGaSe2

open access: yesJournal of Physics and Chemistry of Solids, 1995
Abstract The photoluminescence spectra of AgGaSe 2 obtained at 77 K are reported. Two emission peaks have been observed and their pressure dependence studied. One of these peaks has been identified with emission involving one of the two deep-level peaks, D 1 and D 2 observed previously in absorption measurement [ Appl. Phys. Lett. 64, 1717 (
Choi, I.-H., Yu, P.Y.
openaire   +2 more sources

Letter to the Editor: Chest radiograph: 'Let the reader beware'

open access: yesSouth African Journal of Radiology, 2003
No abstact ...
Don Emby
doaj   +1 more source

Incidence of asymptomatic deep vein thrombosis in patients with COVID-19 pneumonia and elevated D-dimer levels

open access: yesThrombosis Research, 2020
Aim An increased risk of venous thromboembolism (VTE) in patients with COVID-19 pneumonia admitted to intensive care unit (ICU) has been reported. Whether COVID-19 increases the risk of VTE in non-ICU wards remains unknown.
P. Demelo‐Rodríguez   +13 more
semanticscholar   +1 more source

Multimodal deep learning for biomedical data fusion: a review

open access: yesBriefings Bioinform., 2022
Biomedical data are becoming increasingly multimodal and thereby capture the underlying complex relationships among biological processes. Deep learning (DL)-based data fusion strategies are a popular approach for modeling these nonlinear relationships ...
S. Stahlschmidt   +2 more
semanticscholar   +1 more source

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