Current developments of analytical methodologies for aflatoxins' determination in food during the last decade (2013–2022), with a particular focus on nuts and nut …

A Schincaglia, J Aspromonte, FA Franchina, T Chenet… - Foods, 2023 - mdpi.com
This review aims to provide a clear overview of the most important analytical development in
aflatoxins analysis during the last decade (2013–2022) with a particular focus on nuts and …

Battling COVID-19 using machine learning: A review

K Chadaga, S Prabhu, BK Vivekananda… - Cogent …, 2021 - Taylor & Francis
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) known as
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …

Detecting COVID‐19 Pneumonia over Fuzzy Image Enhancement on Computed Tomography Images

A Alzahrani, MAA Bhuiyan… - … mathematical methods in …, 2022 - Wiley Online Library
COVID‐19 is the worst pandemic that has hit the globe in recent history, causing an increase
in deaths. As a result of this pandemic, a number of research interests emerged in several …

UTO-LAB model: USRP based touchless lung anomaly detection model with optimized machine learning classifier

C Rajeshkumar, KR Soundar, R Muthuselvi… - … Signal Processing and …, 2025 - Elsevier
In the light of the rising incidence of breathing illnesses and the significance of early
detection for effective treatment. In modern healthcare, noninvasive and touchless clinical …

Fetal heart disease detection via deep reg network based on ultrasound images

S Magesh, PS RajaKumar - Journal of Applied Engineering and …, 2023 - yrpipku.com
Congenital heart disease (CHD) is the most prevalent congenital ailment. One in every four
newborns born with serious coronary artery disease will require surgery or other early …

DEEP GD: Deep learning based snapshot ensemble CNN with EfficientNet for glaucoma detection

A Geetha, MC Sobia, D Santhi, A Ahilan - Biomedical Signal Processing …, 2025 - Elsevier
Glaucoma is a neuropathic ocular degenerative disease that decreases peripheral vision
and, if left untreated, eventually leads to blindness. In this research, a novel Deep GD model …

[HTML][HTML] Trust aware fuzzy clustering based reliable routing in Manet

CE Singh, SS Priya, BM Kumar, K Saravanan… - Measurement …, 2024 - Elsevier
Abstract Mobile Ad Hoc Network (MANET) is a wireless ad hoc network that can be routed
over a Link Layer Ad Hoc network. In a MANET, nodes are able to freely and adaptably …

Care living instrument for neonatal infant connectivity solution (CliNicS) in smart environment

B Sivasankari, A Ahilan, A Jeyam… - Journal of Ambient …, 2022 - content.iospress.com
Hyperbilirubinemia or jaundice occurs in 60% of healthy babies and 80% of preterm infants
because of an increase in unconjugated bilirubin in red blood cells. It is subjective to …

Automated Histogram Binning-Based Fuzzy K-Means Clustering for COVID-19 Chest CT Image Segmentation

S Nivetha, H Hannah Inbarani - … and Control: Proceedings of ICISC 2023, 2023 - Springer
The greatest threat to humanity is COVID-19, which has a global impact on billions of
people. For important judgment and disease control, therapeutic imaging, such as …

(Retracted) Efficient intelligent compression and recognition system-based vision computing for computed tomography COVID images

R Farhan Abbas - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
The Editor-in-Chief and the publisher have retracted this article, which was submitted as part
of a guest-edited special section. An investigation uncovered evidence of systematic …