EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19

S Kiziloluk, E Sert, M Hammad, R Tadeusiewicz… - Biocybernetics and …, 2024‏ - Elsevier
Convolutional neural networks (CNN) have been increasingly popular in image
categorization in recent years. Hyperparameter optimization is a critical stage in enhancing …

JaunENet: An effective non-invasive detection of multi-class jaundice deep learning method with limited labeled data

Y Ma, Y Meng, X Li, Y Fu, Y Xu, Y Lu, F Weng - Applied Soft Computing, 2025‏ - Elsevier
Jaundice, caused by elevated bilirubin levels, manifests as yellow discoloration of the eyes,
mucous membranes, and skin, often serving as a clinical indicator of conditions such as …

CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain

D El-Shahat, N Talal, J Ye… - Neutrosophic Systems with …, 2024‏ - sciencesforce.com
In this paper, we introduce a hybrid technique between optimization algorithms and
neutrosophic theory. This new hybridization can deal with uncertainties in brain computed …

BSD: A multi-task framework for pulmonary disease classification using deep learning

S Yi, S Qin, F She, D Shao - Expert Systems with Applications, 2025‏ - Elsevier
The diagnosis of pulmonary diseases using deep learning on chest X-ray images can be
affected by the bone structures, the tissue in regions outside the lungs, and the …

[HTML][HTML] An ensemble based lightweight deep learning model for the prediction of cardiovascular diseases from electrocardiogram images

MN Hasan, MA Hossain, MA Rahman - Engineering Applications of …, 2025‏ - Elsevier
Cardiovascular Disease (CVD) has become a serious reason of death all over the world.
According to the Australian Institute of Health and Welfare report, CVD was the underlying …