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07/29/2023
Pathloss-based non-Line-of-Sight Identification in an Indoor Environment: An Experimental Study
This paper reports the findings of an experimental study on the problem ...
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07/27/2020
A Review on Computational Intelligence Techniques in Cloud and Edge Computing
Cloud computing (CC) is a centralized computing paradigm that accumulate...
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05/18/2020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
Generative adversarial networks (GANs) have shown potential in learning ...
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03/01/2020
Advanced kNN: A Mature Machine Learning Series
k-nearest neighbour (kNN) is one of the most prominent, simple and basic...
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09/26/2019
Adversarial Machine Learning Attack on Modulation Classification
Modulation classification is an important component of cognitive self-dr...
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08/20/2019
Blind Image Deconvolution using Pretrained Generative Priors
This paper proposes a novel approach to regularize the ill-posed blind i...
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05/28/2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Trained generative models have shown remarkable performance as priors fo...
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02/20/2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modali...
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11/29/2018
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising
Among the plethora of techniques devised to curb the prevalence of noise...
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11/24/2018
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks
Multishot Magnetic Resonance Imaging (MRI) has recently gained popularit...
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02/12/2018