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Results for “"Khandaker Mohammad Mohi Uddin"”

31+ results

Biorthogonal wavelet based entropy feature extraction for identification of maize leaf diseases

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Badhan Mazumder, Md. Saikat Islam Khan, Khandaker Mohammad Mohi Uddin

Journal: Journal of Agriculture and Food ResearchYear: 2023Citations: 15

Crop disease is considered as a major constraint to both food quality and production. Even in this era of precision agriculture, the lacking of compulsory infrastructure has made rapid identification of crop diseases quite hard in numerous regions around the world. In this paper, we introduced a new...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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COVID-19 Along with Other Chest Infection Diagnoses Using Faster R-CNN and Generative Adversarial Network

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Rafid Mostafiz, Mohammad Shorif Uddin, Khandaker Mohammad Mohi Uddin, Mohammad Motiur Rahman

Journal: ACM Transactions on Spatial Algorithms and SystemsYear: 2022Citations: 15

The rapid spreading of coronavirus (COVID-19) caused severe respiratory infections affecting the lungs. Automatic diagnosis helps to fight against COVID-19 in community outbreaks. Medical imaging technology can reinforce disease monitoring and detection facilities with the advancement of computer vi...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data

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R. J. Ripa, Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, Md. Mahbubur Rahman

Journal: Biomedical Materials & DevicesYear: 2024Citations: 14
Health SciencesHealth ProfessionsHealth Information Management
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An ensemble machine learning-based approach to predict thyroid disease using hybrid feature selection

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Khandaker Mohammad Mohi Uddin, Abdullah Al Mamun, Anamika Chakrabarti, Rafid Mostafiz

Journal: Biomedical AnalysisYear: 2024Citations: 14

Thyroid issues are becoming more and more common, and early detection is critical for therapy that reduces mortality and complications. Because of these factors, detecting thyroid problems has become more crucial in the medical field. Estimating the course of a disease accurately and understanding h...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Machine Learning-Based Chronic Kidney Cancer Prediction Application: A Predictive Analytics Approach

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Khandaker Mohammad Mohi Uddin, Md. Nuzmul Hossain Nahid, Md. Mehedi Hasan Ullah, Badhan Mazumder et al.

Journal: Biomedical Materials & DevicesYear: 2023Citations: 14
Health SciencesHealth ProfessionsHealth Information Management
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Early <scp>PCOS</scp> Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection

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Khandaker Mohammad Mohi Uddin, M. M. H. Bhuiyan, Md. Mahbubur Rahman, Md. Manowarul Islam et al.

Journal: Engineering ReportsYear: 2025Citations: 13

ABSTRACT PCOS (polycystic ovary syndrome) is a common hormonal disorder that affects many women during their reproductive years. It is marked by hormonal imbalances, leading to ovarian cysts, and can result in health issues such as infertility, diabetes, and even heart problems. Diagnosing PCOS accu...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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<scp>XML‐LightGBMDroid</scp>: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis

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Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Samrat Kumar Dey et al.

Journal: Engineering ReportsYear: 2023Citations: 13

Abstract Nowadays, breast cancer detection and diagnosis are done using machine learning algorithms. It can enhance cancer understanding and help in treatment selection and diagnosis. But many reliable decision assistance systems have been developed as “black boxes,” or devices that conceal their in...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management

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Md Rakibul Hasan, Md Mahbubur Rahman, Fahim Shahriar, Md. Saikat Islam Khan et al.

Journal: Crop DesignYear: 2024Citations: 11

Since the world's population is rising continuously, more cultivable land is being utilized for their dwellings. As a result, proper plan and technological breakthroughs shall be necessary to solve the food shortage. Tomato is a kind of vegetable which has the healthy ingredients and essential for o...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images

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Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Hafiz Md. Hasan Babu, Rafid Mostafiz et al.

Journal: Scientific ReportsYear: 2022Citations: 10

COVID-19 is one of the most life-threatening and dangerous diseases caused by the novel Coronavirus, which has already afflicted a larger human community worldwide. This pandemic disease recovery is possible if detected in the early stage. We proposed an automated deep learning approach from Compute...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Artificial Intelligence Based Real-Time Attendance System Using Face Recognition

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Khandaker Mohammad Mohi Uddin, Aditta Chakraborty, Md. Abdul Hadi, Md. Ashraf Uddin et al.

Year: 2021Citations: 10

The attendance system is important for school, college, university, office, and factory. In the academic field, attendance is recorded and updated manually in the teacher’s notebook or any other application. In general, these types of systems waste time for both students and teachers. Also, other Jo...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A novel automated system to detect breast cancer from ultrasound images using deep fused features with super resolution

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Md. Nur-A- Alam, Khandaker Mohammad Mohi Uddin, Md Mahbubur Rahman, M.M.R. Manu et al.

Journal: Intelligence-Based MedicineYear: 2024Citations: 9

Cancer patients can benefit from early detection and diagnosis. This study proposes a machine vision strategy for detecting breast cancer in ultrasound images and correcting several ultrasound difficulties such artifacts, speckle noise, and blurring. In quantitative evolution, edge preservation crit...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Bone Osteoporosis Fractures Detection with Deep Learning: An X-ray Image Analysis Approach

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Md. Habibullah Belali, Ferdus Rhaman Khan, Nur Mohammed Rajin, Hridoy Sarkar et al.

Journal: Biomedical Materials & DevicesYear: 2025Citations: 8
Physical SciencesEngineeringBiomedical Engineering
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Explainable Machine Learning for Phishing Site Detection: A High‐Efficiency Approach Using Boosting Models and SHAP

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Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Md. Nur ‐A‐Alam et al.

Journal: The Journal of EngineeringYear: 2025Citations: 7

ABSTRACT Nowadays, a wide range of electronic devices are being connected through the internet, and a wide range of cybercrimes are being coordinated. Phishing is one of the most serious online crimes. It poses a major threat to people and businesses, resulting in enormous financial losses and user‐...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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A Voice Assistive Mobile Application Tool to Detect Cardiovascular Disease Using Machine Learning Approach

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Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Hafiz Md. Hasan Babu

Journal: Biomedical Materials & DevicesYear: 2024Citations: 7
Health SciencesHealth ProfessionsHealth Information Management
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A Comparative Study on Machine Learning Classifiers for Cervical Cancer Prediction: A Predictive Analytic Approach

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Khandaker Mohammad Mohi Uddin, Iftikhar U. Sikder, Md. Nahid Hasan

Journal: EAI Endorsed Transactions on Internet of ThingsYear: 2024Citations: 7

INTRODUCTION: Cervical cancer is a significant global health concern, particularly in underdeveloped nations where preventive healthcare measures are limited. Early identification of the risks associated with cervical cancer is essential for both prevention and treatment. OBJECTIVES: In recent years...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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