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07/12/2023
Operational Support Estimator Networks
In this work, we propose a novel approach called Operational Support Est...
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04/19/2023
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Hyperspectral image (HSI) classification is an important task in many ap...
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04/19/2023
Improved Active Fire Detection using Operational U-Nets
As a consequence of global warming and climate change, the risk and exte...
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09/29/2022
R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification
Restoration of poor quality images with a blended set of artifacts plays...
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02/20/2022
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
The band selection in the hyperspectral image (HSI) data processing is a...
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06/27/2021
Representation Based Regression for Object Distance Estimation
In this study, we propose a novel approach to predict the distances of t...
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01/28/2021
Reliable COVID-19 Detection Using Chest X-ray Images
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-ai...
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11/10/2020
Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
Classification of polarimetric synthetic aperture radar (PolSAR) images ...
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09/26/2020
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images
Computer-aided diagnosis has become a necessity for accurate and immedia...
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06/07/2020
A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images
In this study, our first aim is to evaluate the ability of recent state-...
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05/08/2020
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images
Coronavirus disease (Covid-19) has been the main agenda of the whole wor...
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03/02/2020
Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing
Support estimation (SE) of a sparse signal refers to finding the locatio...
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06/20/2019