On the public citation graph
An Intelligent Iot-Based System for Real-Time Anomaly Detection and Protection of Electrical Devices Using Machine Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s12667-025-00726-7openalex-extracted
Grid monitoring with synchro-waveform and AI foundation model technologies
inferredcites →https://doi.org/10.1016/j.iot.2021.100437openalex-extracted
AnoML-IoT: An end to end re-configurable multi-protocol anomaly detection pipeline for Internet of Things
inferredcites →https://doi.org/10.1049/gtd2.13012openalex-extracted
Emerging applications of IoT and cybersecurity for electrical power systems
inferredcites →https://doi.org/10.1049/icp.2024.0980openalex-extracted
Using machine learning for security issues in cognitive IoT
inferredcites →https://doi.org/10.1109/access.2024.3437192openalex-extracted
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
inferredcites →https://doi.org/10.1109/tii.2023.3254668openalex-extracted
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT
inferredcites →https://doi.org/10.3390/s23042344openalex-extracted
An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments
inferredcites →https://doi.org/10.48550/arxiv.2405.03065openalex-extracted
Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy
inferredcites →https://doi.org/10.54216/jcim.150216openalex-extracted
Securing the Future: Real-Time intrusion Detection in IIoT Smart Grids through Innovative AI Solutions
inferredcites →https://doi.org/10.1109/tafe.2024.3472493openalex-snapshot
A Power Management and Control System for Environmental Monitoring Devices
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inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485493openalex-snapshot
AnoML-IoT: Adaptive Ensemble Learning Framework for Intelligent Anomaly Detection in IoT Sensor Networks
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