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Md Sadi Al Huda

Observed names: Huda, Md. Sadi Al, Md Sadi Al Huda, Md. Sadi Al Huda
ORCID: 0009-0007-3023-8457
Observed ORCID: 0009-0007-3023-8457
OpenAlex ID: A5111103246
Mental Health Analysis: ML And Explainable AI Predict Depression Among Bangladeshi University Students
2024 · Sarzila Sahrin Jisha, Shahriar Ayon, et al. · International Conference on Computing Advancements (ICCA) · 19
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Preventing Student’s Mental Health Problems with the Help of Data Mining
2024 · Md. Nazmul Hossain, Nafiz Fahad, et al. · International Journal of Computing · 16
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Advancing Monkeypox Diagnosis: A Novel Approach Using a Custom Neural Networks
2024 · Md. Sayem Kabir, Md Sadi Al Huda, et al. · 15
DeepResVit: A Hybrid Deep Learning Approach for Ovarian Cancer Classification with XAI
2024 · Al Rafi Aurnob, Tahmid Enam Shrestha, et al. · 14
DeepMelaNet: Advancing Melanoma Stage Classification in Skin Cancer Diagnosis
2025 · Md Sadi Al Huda, Tahmid Enam Shrestha, et al. · Engineering Technology & Applied Science Research · 10
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Exploring a Novel Machine Learning Approach for Evaluating Parkinson's Disease, Duration, and Vitamin D Level
2023 · Md. Asraf Ali, Md. Kishor Morol, et al. · International Journal of Advanced Computer Science and Applications · 8
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NefroAI: An Explainable and Real-Time Framework for Predicting Chronic Kidney Disease Using Diverse Machine Learning Models and Different Feature Selection Techniques
2025 · Md Sadi Al Huda, Esrath Kanon, et al. · IEEE Access · 6
ResViT: An Integrated Approach Using ResNet50v2 and Vision Transformer for Enhanced Bangla Handwritten Character Recognition
2024 · Kazi Tanvir, Md Sadi Al Huda, et al. · 3
Enhancing Early Detection of Melanoma: A Deep Learning Approach for Skin Cancer Prediction
2024 · Md Sadi Al Huda, Md. Asraf Ali, et al. · JOIV International Journal on Informatics Visualization · 2
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Enhancing Poultry Disease Classification Using Fecal Image: A Fusion Approach
2024 · Md Sadi Al Huda, Adety Sarkar, et al. · International Conference on Computing Advancements (ICCA) · 1
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A Novel Explainable Deep Learning Model for Early-Stage Brain Tumor Classification: Multi-Level Feature Fusion from Merged MRI Datasets
2026 · Md Sadi Al Huda, Kazi Tanvir, et al. · Artificial Intelligence and Applications
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GlaucoNet: a convolutional neural network for enhancing glaucoma disease classification using optical coherence tomography images at early stage
2026 · Md. Abu Towsif, Farjana Yesmin Opi, et al. · IET conference proceedings.
CardioSafeAI: An Explainable Federated Machine Learning Framework with Multi-Stage Hybrid Feature Selection for Cardiovascular Disease Prediction
2026 · Anika Sarker Emo, Md Sadi Al Huda, et al.
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ST-HRF: A Swin Transformer–Harmony Optimised Random Forest Framework for Poultry Health Sound Analysis
2026 · Md. Sayem Kabir, Kazi Tanvir, et al. · SN Computer Science
OvFusionX-Net: An Explainable Deep Learning Model with Attention Mechanism for Early-Stage Ovarian Cancer Classification
2026 · Neyamul Islam, Shimanto Kumar, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
BTdiagAI: A Web‐Deployed Hybrid Framework for Brain Tumor Classification Using Optimized MRI Preprocessing and Deep Learning Fusion
2026 · Faysal Ahmmed, Asef Rahman Antik, et al. · Healthcare Technology Letters
ViTBiT-PoxNet: An Explainable Hybrid Deep Learning Framework for Enhanced Early-Stage Monkeypox Classification
2026 · Md Sadi Al Huda, Tahmid Enam Shrestha, et al. · Lecture notes in networks and systems
Bridging AI and Ethnobotany: A Deep Learning Approach for Medicinal Plant Identification and Real-World Deployment
2026 · Md. Sohag, Md. Naimul Islam Nuhash, et al. · Advances in intelligent systems research/Advances in Intelligent Systems Research
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Exploring Deep 3D U-Net Architectures for Automated Brain Tumor Segmentation: A Study on the BraTS Benchmark Dataset
2026 · Moinul Hossain, Sadia Afrin Promi, et al. · Advances in intelligent systems research/Advances in Intelligent Systems Research
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Explainable Ensemble Learning With Stain Normalization and Deep Feature Extraction for Acute Lymphoblastic Leukaemia Classification
2026 · Faysal Ahmmed, Md. Sadi Al Huda, et al. · Healthcare Technology Letters
OvaFed-MorphFormer: Explainable hybrid CNN--transformer classification of ovarian histopathology with synthetic FedBN-inspired stress testing
2026 · Md. Shamsul Alam, Md. Mahamudul Hasan Shovon, et al. · SSRN Electronic Journal
Predicting Sleep Disorders in Late Sleepers Using Supervised Machine Learning
2025 · Md. Jobayer Ahmed, Md Arman Hossain, et al. · IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
OvaSignal AI: An Explainable and Real-Time Machine Learning Framework for Early Prediction of Ovarian Cancer
2025 · Esrath Kanon, Md Sadi Al Huda, et al. · IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
AI-Enhanced Leishmaniasis Classification with RegNetX with Wolf Search Algorithm
2025 · Mian Mohammad Rassel, Laboni Somoddar, et al. · International Conference on Computer and Information Technology (ICCIT)
Ova-FedEffXAI: A Federated Explainable Hybrid Deep Learning Framework for Early and Accurate Classification of Ovarian Cancer
2025 · Md Sadi Al Huda, Md. Shamsul Alam, et al. · International Conference on Computer and Information Technology (ICCIT)
Works count: 34
Citation count: 94
H-index: 6
I10-index: 5
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