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] 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 …

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] 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 …

[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 …

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 …

Deep learning techniques for COVID-19 diagnosis and prognosis based on radiological imaging

R Hertel, R Benlamri - ACM Computing Surveys, 2023 - dl.acm.org
This literature review summarizes the current deep learning methods developed by the
medical imaging AI research community that have been focused on resolving lung imaging …

[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] Automatic driver distraction detection using deep convolutional neural networks

MU Hossain, MA Rahman, MM Islam, A Akhter… - Intelligent Systems with …, 2022 - Elsevier
Recently, the number of road accidents has been increased worldwide due to the distraction
of the drivers. This rapid road crush often leads to injuries, loss of properties, even deaths of …