Department Of Computer And Information Technology 1

1. Applying Computer Vision for the Detection and Analysis of the Condition and Operation of Street Lighting
2. A Systematic Review of Machine Learning in Credit Card Fraud Detection Under Original Class Imbalance
3. FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets
4. Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review
5. LiDAR Technology for UAV Detection: From Fundamentals and Operational Principles to Advanced Detection and Classification Techniques
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