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Sayed Md Fazle Rabbi

Observed names: Rabbi, S. M. Fazle, S. M. Fazle Rabbi, S.M. Fazle Rabbi, Sayed Md. Fazle Rabbi
ORCID: 0009-0007-4288-5889
Observed ORCID: 0009-0007-4288-5889
OpenAlex ID: A5117097172
Plant extract-mediated green-synthesized CuO nanoparticles for environmental and microbial remediation: a review covering basic understandings to mechanistic study
2025 · Mashrafi Bin Mobarak, MD. Foysal Sikder, et al. · Nanoscale Advances · 104
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Optimizing DDoS Detection in SDNs Through Machine Learning Models
2024 · Md. Ehsanul Haque, Amran Hossain, et al. · International Conference on Computational Intelligence and Communication Networks (CICN) · 16
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Bioinspired nanomaterials: From synthesis to applications
2024 · A.K.M. Foysal Ahmed, Nayem Hossain, et al. · Elsevier eBooks · 2
A Predictive Maintenance Framework for Elevators: Detecting Mechanical Anomalies Using Unsupervised Deep Learning and Outlier Models
2025 · Md. Efatuzzaman Efat, Sayed Md. Fazle Rabbi, et al. · International Conference on Industrial Engineering and Operations Management (IEOM) · 1
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Plot Bhai: a client-side wizard for XRD, UV-Vis, FTIR, particle size and thermal analysis
2026 · Arefin, Shumsul, Rabbi, S. M. Fazle, et al. · Zenodo (CERN European Organization for Nuclear Research)
A Calibrated Machine Learning Framework for Predictive Maintenance in Industry 4.0: Balancing Reliability and Economic Optimization
2026 · Md. Efatuzzaman Efat, Sayed Md. Fazle Rabbi, et al. · International Conference on Industrial Engineering and Operations Management (IEOM)
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Integrated Machine Learning and Economic Risk Modeling for Reliability-Centered Asset Management in Electrical Distribution Networks
2026 · Md. Efatuzzaman Waseek, Irtefa Waseek, et al. · International Conference on Industrial Engineering and Operations Management (IEOM)
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Band Gap Prediction in 2D Materials via Machine Learning and Explainable AI: A Physics Inspired Approach
2026 · Md. Efatuzzaman Efat, Md. Saiful Islam, et al. · International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)
Data Driven Explainable Machine Learning for Predicting Mechanical Properties of Copper-Based Multi-Principal Element Alloys
2026 · Md. Efatuzzaman Efat, Sayed Md. Fazle Rabbi, et al. · SSRN Electronic Journal
Comprehensive Cross-Validated Benchmarking of Machine Learning Models for Electricity Theft Detection
2025 · Md. Efatuzzaman Efat, Sayed Md. Fazle Rabbi, et al. · IEEE International Conference on Telecommunications and Photonics (ICTP)
Works count: 10
Citation count: 123
H-index: 2
I10-index: 2
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