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Lifelong Federated Learning with Dynamic Regularization for Concept Drift Resilience in Energy-Harvesting WSNs

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Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
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Optimal Base Station Mobility Patterns for Wireless Sensor Network Lifetime Maximization
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Addressing Concept Drift in IoT Anomaly Detection: Drift Detection, Interpretation, and Adaptation
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Empirical modeling of a solar-powered energy harvesting wireless sensor node for time-slotted operation
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inferredcites →https://doi.org/10.1145/3183338openalex-snapshot
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Towards Indistinguishable Augmented Reality
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Power Aware Simulation Framework for Wireless Sensor Networks and Nodes
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