A Partially Labeled Anomaly Data Detection Approach Based on Prioritized Deep Reinforcement Learning for Consumer Electronics Security
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3445629
Abstract: Anomalies within data flows in the Internet of Things environment can potentially result in security vulnerabilities in consumer electronics. Therefore, it is crucial to effectively detect anomaly data to safeguard the reliability and continuous functionality… read more here.
Keywords: detection; data detection; anomaly data; consumer electronics ... See more keywords
CWT-Based Magnetic Anomaly Data Denoising Method Combining Stochastic Resonance System and Pixel Connectivity Thresholding
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3334376
Abstract: Magnetic anomaly detection (MAD) serves as a method for detecting ferromagnetic objects via magnetic data. However, MAD typically confronts issues such as low signal-to-noise ratio (SNR) data and lack of prior information, resulting in the… read more here.
Keywords: pixel connectivity; method; anomaly data; wavelet ... See more keywords