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UAV-Assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis
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Speed Harmonic Based Saturation Free Inductance Modeling and Estimation of Interior PMSM Using Measurements Under One Load Condition
Published 2025-03-01“…Moreover, the inductance estimation is robust to the change of other machine parameters. The proposed approach can effectively improve estimation accuracy especially under the condition with low current magnitude. …”
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A VSFPWM Strategy for High Frequency Torque Ripple Control of PMSM Based on Stator Flux Ripple Prediction
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A Comprehensive Review of Torque and Speed Control Strategies for Switched Reluctance Motor Drives
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Subjectivity and Perspective in Truth-Theoretic Semantics /
Published 2017Table of Contents: “…Machine generated contents note:…”
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Rapid Bayesian Imaging of Large‐Scale Transient Electromagnetic Data Using Probabilistic Neural Networks
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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network
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Energy Minimization for Federated Learning Based Radio Map Construction
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Risk-Aware Reinforcement Learning Framework for User-Centric O-RAN
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Reinforcement-Learning-Based Trajectory Design and Phase-Shift Control in UAV-Mounted-RIS Communications
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How Does Neural Network Reparametrization Improve Geophysical Inversion?
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Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming
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Deep Learning-Based Positioning With Multi-Task Learning and Uncertainty-Based Fusion
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SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers
Published 2024-01-01“…In recent years data-driven machine learning approaches have been extensively studied to replace or enhance traditionally model-based processing in digital communication systems. …”
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