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Results for “"Md Tahzib-Ul Islam"”

13 results

COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images

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Kabid Hassan Shibly, Samrat Kumar Dey, Md Tahzib-Ul Islam, Md Mahbubur Rahman

Journal: Informatics in Medicine UnlockedYear: 2020Citations: 159

COVID-19 or novel coronavirus disease, which has already been declared as a worldwide pandemic, at first had an outbreak in a large city of China, named Wuhan. More than two hundred countries around the world have already been affected by this severe virus as it spreads by human interaction. Moreove...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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COVID Faster R-CNN: A Novel Framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray Images

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Kabid Hassan Shibly, Samrat Kumar Dey, Md. Tahzib Ul Islam, Md. Mahbubur Rahman

Journal: medRxivYear: 2020Citations: 27

COVID-19 or novel coronavirus disease, which has already been declared as a worldwide pandemic, at first had an outbreak in a small town of China, named Wuhan. More than two hundred countries around the world have already been affected by this severe virus as it spreads by human interaction. Moreove...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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An Integrated Approach Using Ensemble Machine Learning and Deep Learning for Loan Approval Prediction

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Umme Ara Mahinur Istia, Al-Amain, Khandaker Mohammad Mohi Uddin, Md. Tahzib Ul Islam et al.

Year: 2025Citations: 2

The suggested loan prediction system overcomes the drawbacks of conventional selection processes by utilizing machine learning (ML) to enhance the identification of creditworthy borrowers. A Random Forest (RF) model to predict loan is evaluated in our study along with data pretreatment using the Syn...

Social SciencesBusiness, Management and AccountingManagement Information Systems
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Expanding The Area of Light Fidelity

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Kabid Hasan Shibly, Sazia Rahman, Md. Tahzib Ul Islam

Year: 2019Citations: 2

At present, Wireless technology is used all over the world to ensure the availability of the internet. Although, the routers of Wi-Fi ensure the availability of data within a certain area it has some speed limitation. Li-Fi is one of the latest wireless technologies, which provides access to the int...

Physical SciencesComputer ScienceComputer Networks and Communications
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Big Data Security with Access Control Model and Honeypot in Cloud Computing

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Jahanara Akhtar, Md. Tahzib-Ul-Islam, Md. Habibullah, Saiful Islam

Journal: International Journal of Computer ApplicationsYear: 2019Citations: 2

Big data typically coins with large volume of data and various enterprises are involving day to day in cloud environment. Nowadays, Cloud facility adoption has enlarged. With the acceptance of cloud facility, numerous of the enterprises are expending to store and process Large Data in cloud. Safety ...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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A Hybrid Ensemble Approach with Feature Selection and Interpretability to Optimize Osteoporosis Risk Prediction

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Abir Chowdhury, Md Mahbubur Rahman Druvo, Md. Shariful Islam, Khandaker Mohammad Mohi Uddin et al.

Year: 2025Citations: 1

Osteoporosis is a prevalent disease characterized by reduced bone density and an increased susceptibility to fractures. Early detection is crucial for effective intervention. This study used a large dataset to construct a machine learning based framework for osteoporosis risk prediction. The preproc...

Health SciencesDentistryOral Surgery
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IoT Based Navigation and Safety System for Visually Impaired Person

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Md Mahmudur Rahman, Md Shihab Hassan Naim, Md. Tahzib Ul Islam

Journal: Lecture notes in networks and systemsYear: 2026
Life SciencesNeuroscienceCognitive Neuroscience
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Optimized Feature Selection and SHAP-Based Explainable ML for Celiac Disease Prediction

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Md Mahbubur Rahman Druvo, Abir Chowdhury, Md. Shariful Islam, Md. Tahzib Ul Islam et al.

Year: 2025

Celiac disease is a chronic autoimmune illness caused by gluten ingestion that requires an early and correct diagnosis to be treated effectively. Traditional diagnostic procedures are sometimes imprecise, necessitating machine learning-based solutions. This study proposes a comprehensive methodology...

Health SciencesMedicineGastroenterology
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An Interpretable and Accurate Ensemble Machine Learning Approach for Dementia Prediction

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Md Mahbubur Rahman Druvo, Abir Chowdhury, Md. Shariful Islam, Md. Tahzib Ul Islam et al.

Year: 2025

Dementia is a significant global health issue that necessitates accurate and interpretable predictive models to aid in early detection and intervention. The work suggests a strong machine learning framework for dementia prediction that makes use of SHAP (Shapley additive explanations) values to impr...

Physical SciencesComputer ScienceArtificial Intelligence
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Predictive Model for Asthma Diagnosis Using Advanced Feature Selection and Voting Techniques with Model Explainability

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Abir Chowdhury, Md Mahbubur Rahman Druvo, Khandaker Mohammad Mohi Uddin, Md. Shariful Islam et al.

Year: 2025

Millions of people worldwide suffer from asthma, a chronic respiratory disease that frequently needs precise diagnosis and treatment to enhance patient outcomes. The proposed work uses a hard voting ensemble model to predict asthma using a machine learning based method that achieves a highest accura...

Physical SciencesComputer ScienceArtificial Intelligence
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Smart Farming Prediction System using Deep Learning Method through Web Interface in Bangladesh

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Jahanur Biswas, Md. Almajid, Md. Tahzib-Ul-Islam

Journal: Journal of Dhaka International UniversityYear: 2024

Diabetes is a chronic medical condition characterized by high levels of sugar (glucose) in the blood this occurs because that time our pancreas does not produce enough insulin (Type 1 diabetes), or because the body's cells do not respond properly to insulin (Type 2 diabetes). There is also a conditi...

Life SciencesAgricultural and Biological SciencesPlant Science
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Deep Learning and Ensemble Machine Learning-Based Approach to Detect Cyberbullying Using Twitter Data

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Hasibul Hamim, Khandaker Mohammad Mohi Uddin, Mst. Nishat Tasnim Mim, Md. Tahzib Ul Islam et al.

Year: 2024

The development of the modern web as well as its widespread use on communication sites like Facebook, YouTube, and Twitter have made life significantly easier when handling some very private issues. The goal of the paper is to reduce online abuse and establish a criticism-free virtual community. In ...

Physical SciencesComputer ScienceArtificial Intelligence
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Machine Learning Based Earlier Pancreatic Cancer Detection Using Hybrid Feature Selection

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Khandaker Mohammad Mohi Uddin, S. A. M. Juhair Fahmid, Khadija Khatun, Md. Tahzib Ul Islam et al.

Year: 2024

Pancreatic Ductal Adenocarcinoma Cancer (PDAC), a dangerous cancer in the world, has a very poor percentage of surviving more than 5 years. Usual treatments like chemotherapy, surgery, and radiation have not been shown to significantly improve survival. If we can simplify the diagnosis of diseases t...

Physical SciencesComputer ScienceArtificial Intelligence
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