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Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
(
MDPI
, 2022 , Article)
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ...
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 ...
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 ...
A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
(
MDPI
, 2023 , Article)
Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight ...
Utilization of EV Charging Station in Demand Side Management Using Deep Learning Method
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Conventional energy sources are a major source of pollution. Major efforts are being made by global organizations to reduce CO2 emissions. Research shows that by 2030, EVs can reduce CO2 emissions by 28%. However, two major ...
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
(
MDPI
, 2022 , Article)
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. ...
Cybersecurity for next generation healthcare in Qatar
(
Hamad bin Khalifa University Press (HBKU Press)
, 2021 , Article)
Background: IoMT (Internet of Medical Things) devices (often referred to IoMT domain) have the potential to quickly diagnose and monitor patients outside the hospital by transmitting information through the cloud domain ...
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
(
MDPI
, 2022 , Article)
Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ...
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 ...
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
(
MDPI
, 2021 , Article)
Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...