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Deep and transfer learning for building occupancy detection: A review and comparative analysis
منشور في 2022الموضوعات: -
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones
منشور في 2023الموضوعات: -
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Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation
منشور في 2021"…This paper proposes a data-driven approach based on machine learning to detect such thefts. …"
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RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos
منشور في 2020"…As the optimization is not adequate for online serving, we propose a real-time approach based on Reinforcement Learning (RL), namely RL-OPRA, which adaptively learns to optimize the allocation and serving decisions by interacting with the network environment. …"
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The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
منشور في 2023"…<p dir="ltr">Recent advances in quantum computing and machine learning have brought about a promising intersection of these two fields, leading to the emergence of quantum machine learning (QML). …"
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
منشور في 2022"…<p dir="ltr">Deep learning has recently been shown to be effective in uncovering hidden patterns in non-Euclidean space, where data is represented as graphs with complex object relationships and interdependencies. …"
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SDDM: an interpretable statistical concept drift detection method for data streams
منشور في 2021"…Machine learning models assume that data is drawn from a stationary distribution. …"
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احصل على النص الكامل
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Online Transient Stability Assessment Under Concept Drift: An ARF-Method-Assisted Federated Learning for Data Streams
منشور في 2025"…FedARF facilitates distributed knowledge aggregation learned from various heterogeneous local data sensors (clients) to predict and evaluate the TSA status with minimal communication overhead. …"
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Blockchain-based recommender systems: Applications, challenges and future opportunities
منشور في 2022الموضوعات: -
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Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning
منشور في 2023"…Adversarial training (AT) has shown promise in countering evasion threats on machine learning models. This paper, first, investigates the susceptibility of traditional electricity theft classifiers trained by FL to EAs for both independent and identically distributed (IID) and Non-IID consumption data. …"