[HTML][HTML] A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images

AM Qadri, A Raza, F Eid, L Abualigah - Decision Analytics Journal, 2023 - Elsevier
Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …

Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders

HUR Siddiqui, S Nawaz, MN Saeed, AA Saleem… - … Applications of Artificial …, 2024 - Elsevier
Lower limb disorders are a substantial contributor to both disability and lower standards of
life. The prevalent disorders affecting the lower limbs include osteoarthritis of the knee, hip …

AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection

N Thalji, A Raza, MS Islam, NA Samee… - IEEE …, 2023 - ieeexplore.ieee.org
Structured Query Language (SQL) injection attacks represent a critical threat to database-
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …

An attention-based convolutional recurrent neural networks for scene text recognition

AAA Alshawi, J Tanha, MA Balafar - IEEE Access, 2024 - ieeexplore.ieee.org
Text recognition is critical in various domains, including driving assistance, handwriting
recognition, and aiding the visually impaired. In recent years, deep learning-based methods …

IVNet: Transfer learning based diagnosis of breast cancer grading using histopathological images of infected cells

S Aziz, K Munir, A Raza, MS Almutairi, S Nawaz - IEEE Access, 2023 - ieeexplore.ieee.org
Breast cancer constitutes a significant global health concern that impacts millions of women
across the world. The diagnosis of breast cancer involves categorizing grades based on the …

CVG-Net: novel transfer learning based deep features for diagnosis of brain tumors using MRI scans

S Al-Otaibi, A Rehman, A Raza, J Alyami… - PeerJ Computer …, 2024 - peerj.com
Brain tumors present a significant medical challenge, demanding accurate and timely
diagnosis for effective treatment planning. These tumors disrupt normal brain functions in …

Ischemic Stroke Classification Using VGG-16 Convolutional Neural Networks: A Study on Moroccan MRI Scans.

W Abbaoui, S Retal, S Ziti, B El Bhiri… - … Journal of Online & …, 2024 - search.ebscohost.com
This study presents a comprehensive exploration of deep learning models for precise brain
ischemic stroke classification using medical data from Morocco. Following the OSEMN …

Bridging Diverse Physics and Scales of Knee Cartilage with Efficient and Augmented Graph Learning

SS Sajjadinia, B Carpentieri, GA Holzapfel - IEEE Access, 2024 - ieeexplore.ieee.org
Articular cartilage (AC) is essential for minimizing friction in the human knee, but its healthy
function is highly influenced by biomechanical factors such as weight bearing. Non-invasive …

[HTML][HTML] CDK: A novel high-performance transfer feature technique for early detection of osteoarthritis

MS Islam, MAT Rony - Journal of Pathology Informatics, 2024 - Elsevier
Knee osteoarthritis (OA) is a prevalent condition causing significant disability, particularly
among the elderly, necessitating advancements in diagnostic methodologies to facilitate …

Radiographic imaging-based joint degradation detection using deep learning

A Ghazwan, S Al-Qazzaz… - International Journal of …, 2023 - search.proquest.com
Osteoarthritis (OA) is a degenerative joint disease that primarily affects the knee joint.
Currently, OA diagnosis relies on the examination of plain radiographs, a method …