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Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification

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Accelerating Federated Learning via Momentum Gradient Descent

(2020) Wei Liu et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

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Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

(2019) Fei Tao et al.   Engineering

Incipient winding fault detection and diagnosis for squirrel-cage induction motors equipped on CRH trains

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Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

(2019) Meng Hao et al.   IEEE Transactions on Industrial Informatics

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

(2019) Yang Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery

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A Descriptor System Approach for Estimation of Incipient Faults With Application to High-Speed Railway Traction Devices

(2017) Yunkai Wu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs

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