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Browsing by Author "Bui, Francis M."

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Discovering Common Pathophysiological Processes Between COVID-19 and Cystic Fibrosis by Differential Gene Expression Pattern Analysis

Hasan, Md. Tanvir; Abdulrazak, Lway Faisal; Alam, Mohammad Khursheed; Islam, Md. Rezwan; Sathi, Yeasmin Hena; Al-Zahrani, Fahad Ahmed; Ahmed, Kawsar; Bui, Francis M.; Moni, Mohammad Ali (Daffodil International University, 2022-04-29)

Coronaviruses are a family of viruses that infect mammals and birds. Coronaviruses cause infections of the respiratory system in humans, which can be minor or fatal. A comparative transcriptomic analysis has been performed ...
Early Prediction of Chronic Kidney Disease

Mondol, Chaity; Shamrat, F. M. Javed Mehedi; Hasan, Md. Robiul; Alam, Saidul; Ghosh, Pronab; Tasnim, Zarrin; Ahmed, Kawsar; Bui, Francis M.; Ibrahim, Sobhy M. (Daffodil International University, 22-08-29)

Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve survivability, early discovery and good management are encouraged. In this paper, CKD was diagnosed using multiple optimized neural ...
Identification of Potential Key Genes and Molecular Mechanisms of Medulloblastoma Based on Integrated Bioinformatics Approach

Islam, Md. Rakibul; Abdulrazak, Lway Faisal; Alam, Mohammad Khursheed; Paul, Bikash Kumar; Ahmed, Kawsar; Bui, Francis M.; Moni, Mohammad Ali (Daffodil International University, 2022-01-04)

Background: Medulloblastoma (MB) is the most occurring brain cancer that mostly happens in childhood age. This cancer starts in the cerebellum part of the brain. This study is designed to screen novel and significant ...
An Intelligent Thyroid Diagnosis System Utilising Multiple Ensemble and Explainable Algorithms with Medical Supported Attributes

Sutradhar, Ananda; Al Rafi, Mustahsin; Ghosh, Pronab; Shamrat, F. M.Javed Mehedi; Moniruzzaman, Md.; Ahmed, Kawsar; Azad, AKM; Bui, Francis M.; Chen, Li; Moni, Mohammad Ali (Elsevier, 2023-01-15)

The widespread impact of thyroid disease and its diagnosis is a challenging task for healthcare experts. The conventional technique for predicting such a vital disease is complex and time-consuming. A data-driven approach ...
Machine Learning-based Statistical Analysis for Early Stage Detection of Cervical Cancer

Ali, Md Mamun; Ahmed, Kawsar; Bui, Francis M.; Paul, Bikash Kumar; Ibrahim, Sobhy M.; Quinn, Julian M.W.; Moni, Mohammad Ali (Computers in Biology and Medicine, Elsevier, 2021-12)

Cervical cancer (CC) is the most common type of cancer in women and remains a significant cause of mortality, particularly in less developed countries, although it can be effectively treated if detected at an early stage. ...
Novel Approach of Anti-Resonant Fiber with Supporting 64 Orbital Angular Momentum Modes for Optical Communication

Hassan, Md. Mehedi; Abdulrazak, Lway Faisal; Alharbi, Abdullah G.; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Uddin, Muhammad Shahin (Scopus, 22-03-29)

A novel single material-based anti-resonant fiber is designed, investigated, and explored in this article with supports of up to 64 OAM modes over the 0.6 lm to 1.0 lm as operating wavelength. The other properties of the ...
A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron

Aziz, Md. Tarek; Mahmud, S. M. Hasan; Elahe, Md. Fazla; Jahan, Hosney; Rahman, Md Habibur; Nandi, Dip; Smirani, Lassaad K.; Ahmed, Kawsar; Bui, Francis M.; Moni, Mohammad Ali (MDPI, 2023-06-18)

Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise in H&E-stained (hematoxylin and eosin ...
YOLO_CC: Deep Learning based Approach for Early Stage Detection of Cervical Cancer from Cervix Images Using YOLOv5s Model

Ontor, Md Zahid Hasan; Ali, Md Mamun; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Mahmud, S. M. Hasan; Azam, Sami (Daffodil International University, 2022-08-26)

Cervical Cancer (CC) is the fourth major cancer, which is responsible for a large number of deaths among women. Early stage detection of the cancer is the most effective solutions for decreasing the mortality rate. The ...

Browsing by Author "Bui, Francis M."

Browsing by Author "Bui, Francis M."

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