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Osama A. Mahdi

Observed names: Mahdi, Osama A, Mahdi, Osamah A, Osama Mahdi, Osamah A. Mahdi
ORCID: 0000-0002-7560-7398
Observed ORCID: 0000-0002-7560-7398
OpenAlex ID: A5062048295
Diversity measure as a new drift detection method in data streaming
2019 · Osama A. Mahdi, Eric Pardede, et al. · Knowledge-Based Systems · 46
Routing Attacks Detection in 6LoWPAN-Based Internet of Things
2023 · Ammar Alazab, Ansam Khraisat, et al. · Electronics · 41
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Fast Reaction to Sudden Concept Drift in the Absence of Class Labels
2020 · Osama A. Mahdi, Eric Pardede, et al. · Applied Sciences · 34
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Federated Learning Under Concept Drift: A Systematic Survey of Foundations, Innovations, and Future Research Directions
2025 · Osamah A. Mahdi, Eric Pardede, et al. · Electronics · 21
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Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later
2024 · Osama A. Mahdi, Nawfal Ali, et al. · IEEE Access · 19
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Combination of information entropy and ensemble classification for detecting concept drift in data stream
2018 · Osama A. Mahdi, Eric Pardede, et al. · Australasian Computer Science Week Multiconference (ACSW) · 19
Advanced Ensemble Classifier Techniques for Predicting Tumor Viability in Osteosarcoma Histological Slide Images
2024 · Tahsien Al-Quraishi, Chee Keong NG, et al. · Applied Data Science and Analysis · 17
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Enhancing IoT Intrusion Detection System Performance with the Diversity Measure as a Novel Drift Detection Method
2023 · Osama A. Mahdi, Ammar Alazab, et al. · International Conference on Information Technology Trends (ITT) · 13
A hybrid block-based ensemble framework for the multi-class problem to react to different types of drifts
2021 · Osama A. Mahdi, Eric Pardede, et al. · Cluster Computing · 13
Transforming Amazon's Operations: Leveraging Oracle Cloud-Based ERP with Advanced Analytics for Data-Driven Success
2024 · Tahsien Al-Quraishi, Osama A. Mahdi, et al. · Applied Data Science and Analysis · 12
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KAPPA as Drift Detector in Data Stream Mining
2021 · Osama A. Mahdi, Eric Pardede, et al. · Procedia Computer Science · 12
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Enhancing Social Media Engagement Sentiment Prediction: A Random Forest and SMOTE-Based Approach with Explainable AI
2025 · Tahsien Al-Quraishi, Waseem Alwan Zaboon, et al. · Lecture notes in networks and systems · 8
Online Concept Drift Detector: Optimally Balancing Delay Detection, Runtime, Memory, and Accuracy.
2024 · Osama A. Mahdi, Nawfal Ali, et al. · Procedia Computer Science · 7
Adaptive composite bandwidth and automatic gain control receiver for 6G wireless optical communication
2024 · Bhagwan Das, Johnson Ihyeh Agbinya, et al. · Discover Applied Sciences · 3
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Towards Explainable Multi-Modal AI for Alzheimer’s Diagnosis: A Comparative Review of Vision Transformers, Grad-CAM, and Language Models
2026 · Aryal, Sujan, Al-Jumaily, Adel, et al. · Melbourne Institute of Technology
Text Anomaly Detection with LLM Embeddings: A Review
2026 · Awal, Mohammad Abdul, Mahdi, Osamah A, et al. · Melbourne Institute of Technology
Enhanced IoT Intrusion Detection: A Hybrid Framework Integrating Decision Tree and One-Class SVM
2026 · Singh, Sarabjot, Mahdi, Osama A, et al. · Melbourne Institute of Technology
Federated Drift-Aware Learning: Current Challenges and Future Directions
2026 · Osama Mahdi, Savitri Bevinakoppa, et al. · Lecture notes in networks and systems
Unveiling the Role of Diversity Measure in Concept Drift Detection: A Comparative Analysis and Future Prospects
2025 · Osamah A. Mahdi, Nawfal Ali, et al. · Advances in systems analysis, software engineering, and high performance computing book series
Diversity Measure for Concept Drift Detection in Data Streams
2024 · Osama Mahdi, Savitri Bevinakoppa, et al. · IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS)
Multi-Criteria Analysis of Concept Drift Detection Algorithms: A Decision-Making Approach
2024 · Osama Mahdi, Savitri Bevinakoppa, et al. · IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS)
Works count: 21
Citation count: 265
H-index: 11
I10-index: 11
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