Adaptive Deeping Siamese Residual Network: A Novel Model for Few-Shot Bearing Fault Diagnosis by Yonghua Jiang, Maoli Lu, Zhilin Dong, Zhichao Jiang, Weidong Jiao, Chao Tang, Jianfeng Sun, Zhongyi Xuan

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An Optimized 1-D CNN-LSTM Approach for Fault Diagnosis of Rolling Bearings Considering Epistemic Uncertainty by Onur Can Kalay

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MHSAEO Index for Fault Diagnosis of Rolling Bearings in Electric Hoists by Xinhui Wang, Yan Wang, Yutian He

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Enhanced early detection of dysarthric speech disabilities using stacking ensemble deep learning model by Jagat Chaitanya Prabhala, Ravi Ragoju, Venkatanareshbabu Kuppili, Christophe Chesneau

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Segmentalized amplitude normalization in feature extraction technique for diagnostics enhancement of bearing deterioration under varying speeds by Tian-Yau Wu, Yo-Sen Lin

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Research on fault diagnosis of amorphous alloy transformers by using vibration signals and a PSO-optimized full-process WPT-SVM model by Daosheng Liu, Wentao Yang, Longsheng Liu, Zhe Zhao

“…The prominent vibration characteristics of amorphous alloy transformer (AMT) make it possible to apply the vibration method for real-time fault monitoring of AMT. Therefore, in order to solve the AMT vibration monitoring problem and enhance the diagnostic efficiency, this study proposes an AMT fault diagnosis model based on particle swarm optimization (PSO) to optimize the parameters of wavelet packet transform (WPT) and support vector machine (SVM).The optimal vibration signal acquisition point is determined by finite element analysis to ensure high signal quality. …”
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Design and evaluation of self-tuning optimal control for vibration suppression of magnetorheological semi-active suspension by Gang Li, Yu Gan, Qianjie Liu, Miaojin Xie, Qingsheng Huang, Liping Zeng

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Long-Range Bird Species Identification Using Directional Microphones and CNNs by Tiago Garcia, Luís Pina, Magnus Robb, Jorge Maria, Roel May, Ricardo Oliveira

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SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

“…Most of the techniques discussed in the literature rely on supervised machine learning methods. However, the challenge of accurately labeling variations in epileptic electroencephalography waveforms complicates the use of these approaches. …”
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Analysis of Radial Force, Vibration, and Noise in Low-speed, High-torque Density Spoke-type PMSMs with Symmetric and Asymmetric Assisted Poles Designs by Sayyed Haleem Shah, Yun-Chong Wang, Dan Shi, Jian-Xin Shen

“…The 2D-Fourier decomposition method is applied to investigate the radial electromagnetic force harmonics (REMFHs). …”
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Review of Control Techniques for Dual Three-phase PMSM Drives with Low Carrier Ratios by Minrui Gu, Zheng Wang, Ming Cheng, Weifeng Su, Linyue Shang, Po Liu

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Computer Vision Aided Beamforming Fused With Limited Feedback by T. Xiang, J. Gu, Y. Wang, Y. Gao, X. Zhang

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Deep Fusion Intelligence: Enhancing 5G Security Against Over-the-Air Attacks by Mohammadreza Amini, Ghazal Asemian, Burak Kantarci, Cliff Ellement, Melike Erol-Kantarci

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

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ALogSCAN: A Self-Supervised Dual Network for Adaptive and Timely Log Anomaly Detection in Clouds by Mahsa Raeiszadeh, Felipe Estrada-Solano, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

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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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<monospace>TWIRLD</monospace>: Transformer Generated Terahertz Waveform for Improved Radio Link Distance by Shuvam Chakraborty, Claire Parisi, Dola Saha, Ngwe Thawdar

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Decentralized Grant-Free mMTC Traffic Multiplexing With eMBB Data Through Deep Reinforcement Learning by Giovanni Di Gennaro, Amedeo Buonanno, Gianmarco Romano, Stefano Buzzi, Francesco A. N. Palmieri

“…This paper addresses the problem of joint multiplexing of enhanced Mobile Broadband (eMBB) and massive Machine-Type Communications (mMTC) traffic in the same uplink time-frequency RG. …”
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Deep Learning-Based Data-Assisted Channel Estimation and Detection by Hamidreza Hashempoor, Wan Choi

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Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks by Ghazi Gharsallah, Georges Kaddoum

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