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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023
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A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things
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A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation
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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security
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Formal Verification of ERC-Based Smart Contracts: A Systematic Literature Review
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Grid Connected Solar PV System with SEPIC Converter Compared with Parallel Boost Converter Based MPPT
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ProNDN: MCDM-Based Interest Forwarding and Cooperative Data Caching for Named Data Networking
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Optimizing Secure AI Lifecycle Model Management With Innovative Generative AI Strategies
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Generative adversarial synthetic neighbors-based unsupervised anomaly detection
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EScope: Effective Event Validation for IoT Systems Based on State Correlation
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