[HTML][HTML] Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

A Akter, N Nosheen, S Ahmed, M Hossain… - Expert Systems with …, 2024 - Elsevier
Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment
options, while accurate classification and segmentation of brain tumors are vital for …

A dependable hybrid machine learning model for network intrusion detection

MA Talukder, KF Hasan, MM Islam, MA Uddin… - Journal of Information …, 2023 - Elsevier
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …

[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application

MM Islam, MAA Adil, MA Talukder… - Journal of Agriculture …, 2023 - Elsevier
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …

[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture

MA Talukder, MA Layek, M Kazi, MA Uddin… - Computers in Biology …, 2024 - Elsevier
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …

[HTML][HTML] Machine learning based diabetes prediction and development of smart web application

N Ahmed, R Ahammed, MM Islam, MA Uddin… - International Journal of …, 2021 - Elsevier
Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the
risk of long-term complications including heart disease, and kidney failure among others …

Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated …

G Celik - Applied Soft Computing, 2023 - Elsevier
Covid-19 has become a worldwide epidemic which has caused the death of millions in a
very short time. This disease, which is transmitted rapidly, has mutated and different …

A lightweight CNN-based network on COVID-19 detection using X-ray and CT images

ML Huang, YC Liao - Computers in Biology and Medicine, 2022 - Elsevier
Background and objectives The traditional method of detecting COVID-19 disease mainly
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …

[HTML][HTML] A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022

KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …

Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis

N Faruqui, MA Yousuf, FA Kateb, MA Hamid… - Heliyon, 2023 - cell.com
The field of automated lung cancer diagnosis using Computed Tomography (CT) scans has
been significantly advanced by the precise predictions offered by Convolutional Neural …

An ensemble machine learning based bank loan approval predictions system with a smart application

N Uddin, MKU Ahamed, MA Uddin, MM Islam… - International Journal of …, 2023 - Elsevier
Banks rely heavily on loans as a primary source of revenue; however, distinguishing
deserving applicants who will reliably repay loans presents an ongoing challenge …