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Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics ...
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...
Demand Response in HEMSs Using DRL and the Impact of Its Various Configurations and Environmental Changes
(
MDPI
, 2022 , Article)
With smart grid advances, enormous amounts of data are made available, enabling the training of machine learning algorithms such as deep reinforcement learning (DRL). Recent research has utilized DRL to obtain optimal ...
A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
(
MDPI
, 2023 , Article Review)
The number of people who suffer from diabetes in the world has been considerably increasing recently. It affects people of all ages. People who have had diabetes for a long time are affected by a condition called Diabetic ...
Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and ...
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
(
IEEE Computer Society
, 2023 , Article)
In recent years, advancements in machine learning (ML) techniques, in particular, deep learning (DL) methods have gained a lot of momentum in solving inverse imaging problems, often surpassing the performance provided by ...
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ...
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic
(
MDPI
, 2022 , Article)
In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May ...
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
(
MDPI
, 2023 , Article Review)
The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ...
A New Dataset for Forged Smartphone Videos Detection: Description and Analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent ...