Matson Et 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. FraudX SimS: A Synthetic Dataset for Anomaly Detection in Payment-Card Transactions
5. The Development of a Data Protection System in Healthcare Using Deep Learning Models
6. Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review
7. LiDAR Technology for UAV Detection: From Fundamentals and Operational Principles to Advanced Detection and Classification Techniques
8. Comprehensive DDoS Attack Classification Using Machine Learning Algorithms
9. The development of a model for the threat detection system with the use of machine learning and neural network methods
10. Practical Study of Recurrent Neural Networks for Efficient Real-Time Drone Sound Detection: A Review
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