A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images

S Sharma, K Guleria - Multimedia Tools and Applications, 2024 - Springer
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …

A comprehensive review on federated learning based models for healthcare applications

S Sharma, K Guleria - Artificial Intelligence in Medicine, 2023 - Elsevier
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …

Deepgd: A multi-objective black-box test selection approach for deep neural networks

Z Aghababaeyan, M Abdellatif, M Dadkhah… - ACM Transactions on …, 2024 - dl.acm.org
Deep neural networks (DNNs) are widely used in various application domains such as
image processing, speech recognition, and natural language processing. However, testing …

An explainable AI paradigm for Alzheimer's diagnosis using deep transfer learning

T Mahmud, K Barua, SU Habiba, N Sharmen… - Diagnostics, 2024 - mdpi.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
individuals worldwide, causing severe cognitive decline and memory impairment. The early …

[PDF][PDF] Deep learning based model for detection of vitiligo skin disease using pre-trained Inception V3

S Sharma, K Guleria, S Kumar… - International Journal of …, 2023 - researchgate.net
Skin diseases are commonly identified problems all over the world. There are various kinds
of skin diseases, such as skin cancer, vulgaris, ichthyosis, and eczema. Vitiligo is one of the …

Mapping post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms

M Shafapourtehrany, F Rezaie, C Jun, E Heggy… - Remote Sensing, 2023 - mdpi.com
Landslides are among the most frequent secondary disasters caused by earthquakes in
areas prone to seismic activity. Given the necessity of assessing the current seismic …

[PDF][PDF] Swin Transformer-Based Segmentation and Multi-Scale Feature Pyramid Fusion Module for Alzheimer's Disease with Machine Learning.

N Gharaibeh, A Abu-Ein, OM Al-hazaimeh… - Int. J. Online Biomed …, 2023 - academia.edu
Alzheimer Disease (AD) is the ordinary type of dementia which does not have any proper
and efficient medication. Accurate classification and detection of AD helps to diagnose AD in …

Data-driven bio-integrated design method encoded by biocomputational real-time feedback loop and deep semi-supervised learning (DSSL)

F Heidari, M Mahdavinejad, K Zolotovsky… - Journal of Building …, 2024 - Elsevier
Today, under the imperatives of synthetic biology (Synbio), material-based design strategies
are conceived as biofactories that can recapitulate the functionalities of living systems for …

Performance analysis of machine learning approaches for stroke prediction in healthcare

A Saini, K Guleria, S Sharma - 2023 10th International …, 2023 - ieeexplore.ieee.org
A stroke is a situation that happens due to insufficient blood supply to the brain. Nowadays,
there is an increased number of deaths which can be caused due to many reasons including …

Tomato leaf disease classification using convolutional neural network model

A Saini, K Guleria, S Sharma - 2023 Second International …, 2023 - ieeexplore.ieee.org
Tomatoes and potatoes are the most commonly grown crops worldwide. The tomato
contains antioxidant properties to prevent the cells from radicals. It can also protect the …