UAV-Assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis by Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Tareq Y. Al-Naffouri

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Additional Magnetic Field of Dual-parallel Rotor Permanent Magnet Synchronous Motor and Its Influence on Electromagnetic Torque by Yang Chen, Dajun Tao, Baojun Ge

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Speed Harmonic Based Saturation Free Inductance Modeling and Estimation of Interior PMSM Using Measurements Under One Load Condition by Guodong Feng, Yuting Lu, Zhe Tong, Beichen Ding, Guishan Yan, Chunyan Lai

“…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 by Jinyang Han, Hepeng Su, Weichao Li, Hao Yuan

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A Comprehensive Review of Torque and Speed Control Strategies for Switched Reluctance Motor Drives by Sreeram K., Preetha P. K., Javier Rodríguez-García, Carlos Álvarez-Bel

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Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records by Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao

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Rapid Bayesian Imaging of Large‐Scale Transient Electromagnetic Data Using Probabilistic Neural Networks by Jian Chen, Stefano Galli, Alessandro Signora, Nicole Anna Lidia Sullivan, Bo Zhang, Gianluca Fiandaca

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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

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Deep Learning for Connectivity Identification in Random Subsurface Flows: A Methodological Workflow for Early Solute Arrival Time Quantification by A. Manzoni, F. P. J. deBarros, G. M. Porta, M. Riva, A. Guadagnini

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Risk-Aware Reinforcement Learning Framework for User-Centric O-RAN by Shahrukh Khan Kasi, Fahd Ahmed Khan, Sabit Ekin, Ali Imran

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Privacy-Preserving Federated Class-Incremental Learning by Jue Xiao, Xueming Tang, Songfeng Lu

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A Hierarchical Feature-Based Time Series Clustering Approach for Data-Driven Capacity Planning of Cellular Networks by Vineeta Jain, Anna Richter, Vladimir Fokow, Mathias Schweigel, Ulf Wetzker, Andreas Frotzscher

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Reinforcement-Learning-Based Trajectory Design and Phase-Shift Control in UAV-Mounted-RIS Communications by Tianjiao Sun, Sixing Yin, Li Deng, F. Richard Yu

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How Does Neural Network Reparametrization Improve Geophysical Inversion? by Yuping Wu, Jianwei Ma

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Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming by Hamed Hojatian, Zoubeir Mlika, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau

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Paths Optimization by Jointing Link Management and Channel Estimation Using Variational Autoencoder With Attention for IRS-MIMO Systems by Meng-Hsun Wu, Hong-Yunn Chen, Ta-Wei Yang, Chih-Chuan Hsu, Chih-Wei Huang, Cheng-Fu Chou

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Deep Learning-Based Positioning With Multi-Task Learning and Uncertainty-Based Fusion by Anastasios Foliadis, Mario H. Castaneda Garcia, Richard A. Stirling-Gallacher, Reiner S. Thoma

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SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers by Stefan Baumgartner, Oliver Lang, Mario Huemer

“…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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