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Md Assaduzzaman

Observed names: Assaduzzaman, Md, M.D. Assaduzzaman, Md. Assaduzzaman, Md․ Assaduzzaman, Nafiz Fahad
ORCID: 0000-0002-7838-0096
Observed ORCID: 0000-0002-7838-0096
OpenAlex ID: A5024159570
An explainable artificial intelligence model for multiple lung diseases classification from chest X-ray images using fine-tuned transfer learning
2024 · Eram Mahamud, Nafiz Fahad, et al. · Decision Analytics Journal · 113
XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion
2025 · Md Assaduzzaman, Prayma Bishshash, et al. · MethodsX · 67
Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification algorithms approach
2024 · Arif Mahmud, Afjal Hossan Sarower, et al. · Array · 56
An explainable AI-based blood cell classification using optimized convolutional neural network
2024 · Oahidul Islam, Md Assaduzzaman, et al. · Journal of Pathology Informatics · 54
A real-time deep learning approach for classifying cervical spine fractures
2023 · Showmick Guha Paul, Arpa Saha, et al. · Healthcare Analytics · 35
A comprehensive image dataset for the identification of lemon leaf diseases and computer vision applications
2024 · A K M Fazlul Kobir Siam, Prayma Bishshash, et al. · Data in Brief · 29
Enhancing Alzheimer's disease detection: An explainable machine learning approach with ensemble techniques
2025 · Eram Mahamud, Md Assaduzzaman, et al. · Intelligence-Based Medicine · 27
Early Prediction of Maternal Health Risk Factors Using Machine Learning Techniques
2023 · Md Assaduzzaman, Abdullah Al Mamun, et al. · International Conference for Advancement in Technology (ICONAT) · 27
A Deep Learning Approach to Detect and Classification of Lung Cancer
2023 · Mst. Farhana Khatun, Moshfiqur Rahman Ajmain, et al. · International Conference for Advancement in Technology (ICONAT) · 25
An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME
2024 · Monoronjon Dutta, Khondokar Md. Mehedi Hasan, et al. · Bulletin of Electrical Engineering and Informatics · 23
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ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification
2024 · Md Assaduzzaman, Monoronjon Dutta, et al. · Informatics in Medicine Unlocked · 23
AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcare
2024 · Mayen Uddin Mojumdar, Dhiman Sarker, et al. · Data in Brief · 16
Tuberculosis Disease Detection from Chest X-rays Using Deep Learning Techniques
2023 · Mehedi Hasan Rabby, Oahidul Islam, et al. · International Conference on Computer and Information Technology (ICCIT) · 13
Spatio-Temporal Deep Neural Modelling for Climate Anomaly Detection using CNN-LSTM Networks
2025 · Hasan Ahamed Alif, Pradeep Kamaraj, et al. · International Conference on Soft Computing for Security Applications (ICSCSA) · 12
Predicting maternal health risk using PCA-enhanced XGBoost and SMOTE-ENN for improved healthcare outcomes
2025 · Rahmatul Kabir Rasel Sarker, Sadman Hafij, et al. · Intelligence-Based Medicine · 10
A benchmark dataset for analyzing hematological responses to dengue fever in Bangladesh
2024 · Md․ Assaduzzaman, Oahidul Islam, et al. · Data in Brief · 10
Volumetric MRI-Based Lesion Segmentation in Traumatic Brain Injury via a 3D U-Net Deep Learning Model
2025 · Hasan Ahamed Alif, Velavan Paramasivam, et al. · International Conference on Inventive Systems and Control (ICISC) · 9
Hybrid Climate Forecasting using Ensemble Learning and Trend Detection
2025 · Hasan Ahamed Alif, Velavan Paramasivam, et al. · International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) · 9
TeaNet8: A real time Android application-based Tea Leaf Disease detection using fine-tuned transfer learning and Gradient-Weighted Class Activation Mapping visualization
2025 · Ismotara Dipty, Md Assaduzzaman, et al. · Results in Control and Optimization · 9
A comprehensive hematological dataset for dengue incidence in Bangladesh
2025 · Md. Asraful Sharker Nirob, A K M Fazlul Kobir Siam, et al. · Data in Brief · 9
A data-driven approach to turmeric disease detection: Dataset for plant condition classification
2025 · A K M Fazlul Kobir Siam, Md. Asraful Sharker Nirob, et al. · Data in Brief · 8
Social Media Hate Speech Detection Using Machine Learning Approach
2023 · Farhatul Haider, Ismotara Dipty, et al. · IFIP advances in information and communication technology · 7
Maternal health risk factors dataset: Clinical parameters and insights from rural Bangladesh
2025 · Mayen Uddin Mojumdar, Dhiman Sarker, et al. · Data in Brief · 6
Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning research
2024 · Eram Mahamud, Md Assaduzzaman, et al. · Data in Brief · 6
Applied Weather Forecasting using Machine Learning Approach
2023 · Md. Atikur Rahman, Ordha Nafiz Akbar, et al. · International Conference on Computer and Information Technology (ICCIT) · 6
Works count: 45
Citation count: 629
H-index: 13
I10-index: 16
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