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Author

Md Amzad Sadik Abid

Institution: Lamar University
Observed institution: Lamar University
ORCID: 0009-0009-5828-1793
Observed ORCID: 0009-0009-5828-1793
OpenAlex ID: A5074490748
First-principles investigation and device simulation of TlPbI 3 -based perovskite solar cells with machine learning-driven efficiency prediction
2026 · Md. Harun-Or-Rashid, Hanane Etabti, et al. · RSC Advances · 14
A Hybrid mRMR-RFE and AI Framework for Advancing Alzheimer's Biomarkers Discovery
2025 · Md. Maniruzzaman, Md. Shahadat Jaman, et al. · International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · 12
BanglaRoadSignNet: A YOLO-Based Framework for Efficient Road Sign Detection and Recognition in Bangladesh
2025 · Mahabubur Rahman, Pristly Turjo Mazumder, et al. · International Conference on Advancement in Computation & Computer Technologies (InCACCT) · 9
Revealing InPbBr 3 Perovskite’s Potential: A DFT, Scaps and Machine Learning-Based Study for Next-Generation Solar Cells
2025 · Md. Harun-Or-Rashid, Md Aminur Rahman, et al. · NANO · 7
PotatoCare: A Deep Learning-Powered Framework for Automated Detection and Classification of Potato Disease
2025 · Md. Samiul Islam, Tanzila Afrin, et al. · International Conference on Data Science and Information System (ICDSIS) · 7
CNN Based COVID-19 Detection: Enhancing Accuracy, Efficiency and Generalization in Medical Imaging Analysis
2025 · Md. Samiul Islam, Md Amzad Sadik Abid, et al. · International Conference in Advances in Power, Signal, and Information Technology (APSIT) · 6
YOLOv10-Powered Detection of Tea Leaf Diseases: Enhancing Crop Quality through AI
2025 · Md. Samiul Islam, Md Amzad Sadik Abid, et al. · International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS) · 5
A physics-guided explainable machine learning framework for residual-based performance deviation detection and probabilistic severity assessment in photovoltaic systems
2026 · Roby Mohajon, Shuva Chandra Sarker, et al. · Clean Energy · 4
Machine Learning Approached for Sophisticated Relay to Mitigate Blackouts in Power System
2025 · Md Abdul Ahad Juel, Nazim Uddin, et al. · 3
Antibacterial and Selective Anticancer Activities of Stevia rebaudiana Leaf Extract: An Integrated In Vitro and In Silico Study
2026 · Md. Ramjan Sheikh, Md. Iftakher Uddin, et al. · ChemistrySelect
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A Data-Driven Leveraging Random Forest Framework for Credit Card Fraud Detection
2026 · Musfikul Islam, Siddikur Rahman, et al. · International Conference on Computational Intelligence and Communication Networks (CICN)
MLP Performance Comparison for Alzheimer's Disease Prediction Using Integrative Multi-Omics Datasets
2026 · Marouane El Abbassi, Munjir Mahmud Sayeb, et al. · International Conference on Computational Intelligence and Communication Networks (CICN)
A Robust Random Forest Framework for Early Heart Disease Prediction
2026 · Mohammad Arafath Uz Zaman Khan, Sayed Sayem, et al. · IEEE International Conference on Communication Systems and Network Technologies (CSNT)
Cost-Aware Early Treatment Response Stratification in Non-Small Cell Lung Cancer Using Interpretable Machine Learning
2026 · Md Amzad Sadik Abid, Atik Morshed, et al. · International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI)
Longitudinal Laboratory Drift Modeling for Multi-Class Chemotherapy Toxicity Prediction Using Tree-Based Ensemble Learning
2026 · Md. Arifur Rahaman, Md Jabed Hasan Jabir, et al. · International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI)
A Deep Learning Framework for Brain Tumor Detection and Classification
2026 · Payel Sen, Md Farhan Ishraq, et al. · International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)
Performance Analysis Based on Deep Learning Architecture to Track Out Cholangiocarcinoma
2026 · Md Amzad Sadik Abid, Md. Tahmeed Kowsher Hameem, et al. · Advances in intelligent systems research/Advances in Intelligent Systems Research
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Biologically Informed Feature Selection in Alzheimer’s Disease
2025 · Md Shahadat Jaman, Md. Maniruzzaman, et al. · International Conference on Decision Aid Sciences and Applications (DASA)
Ensemble Deep Learning for Brain Tumor Detection: Integrating InceptionV3 and MobileNetV3 Models on MRI Scans
2025 · Md Amzad Sadik Abid, Maryam Nasir Suleman, et al. · IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON)
Digital Twin–enabled Predictive Maintenance for High Voltage Generators and CT Tubes in Medical Imaging Manufacturing
2025 · Md Mahamudur Rahaman Shamim, Md. Nuruzzaman, et al. · IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON)
IncepVGGNet: A Hybrid Deep Learning Model for Alzheimer’s Disease Classification Using MRI With Cross-Dataset Validation and Enhanced Interpretability
2025 · Md. Samiul Islam, Rifat Nawaz, et al. · IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON)
A Robust Deep Learning Approach for Cardiovascular Disease Detection from Enhanced Paper-Based ECG Signals
2025 · Sabuj Kumar Kundu, Md Amzad Sadik Abid, et al. · IEEE International Conference on Computing, Applications and Systems (COMPAS)
Diaretensemble: A Stacking Ensemble Approach Withexplainable Ai for Diagnosing Diabetic Retinopathyand Retinal Diseases from Fundus Images
2025 · Md. Samiul Islam, Maryam Nasir Suleman, et al. · SSRN Electronic Journal
Works count: 24
Citation count: 81
H-index: 6
I10-index: 3
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