Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma

no code implementations • 27 Feb 2024 • Abanti Bhattacharjya, Md Manowarul Islam, Md Ashraf Uddin, Md. Alamin Talukder, AKM Azad, Sunil Aryal, Bikash Kumar Paul, Wahia Tasnim, Muhammad Ali Abdulllah Almoyad, Mohammad Ali Moni

Our research findings have suggested common therapeutic molecules for the selected diseases based on 10 hub genes with the highest interactions according to the degree topology method and the maximum clique centrality (MCC).

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

no code implementations • 22 Jan 2024 • Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni

Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors and activities.

Blocking Dimensionality Reduction +1

HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

no code implementations • 6 Mar 2023 • Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio, Julian M. W. Quinn, Mohammad Ali Moni

The experimental results demonstrate that the proposed HARDC model significantly outperforms other existing models, achieving an accuracy of 99. 60\%, F1 score of 98. 21\%, a precision of 97. 66\%, and recall of 99. 60\% using MIT-BIH generated ECG.

Denoising Generative Adversarial Network +1

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection

no code implementations • 8 Dec 2022 • Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Md Ashraf Uddin, Arnisha Akhter, Mohammad Abu Yousuf, Fares Alharbi, Mohammad Ali Moni

Network intrusion detection systems (NIDSs) play an important role in computer network security.

feature selection Network Intrusion Detection

Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning

no code implementations • 2 Jun 2022 • Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, Arnisha Akhter, Khondokar Fida Hasan, Mohammad Ali Moni

The model is evaluated on histopathological (LC25000) lung and colon datasets.

Ensemble Learning

A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets

no code implementations • 13 Aug 2021 • Khandaker Tayef Shahriar, Iqbal H. Sarker, Muhammad Nazrul Islam, Mohammad Ali Moni

Twitter is one of the most influential social media services, which has seen a dramatic increase in its use from the epidemic.

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

no code implementations • 19 Nov 2020 • Sakifa Aktar, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz, AKM Azad, Shahadat Uddin, A H M Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation.

Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19

no code implementations • 21 Aug 2020 • Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, A. H. M. Kamal, Jahidur Rahman Khan, Md. Protikuzzaman, Nasif Hossain, Julian M. W. Quinn, Mathew A. Summers, Teng Liaw, Valsamma Eapen, Mohammad Ali Moni

COVID-19 patient comorbidities are likely to be informative about individual risk of severe illness and mortality.

BIG-bench Machine Learning