Performance and reliability evaluation of an improved machine learning‐based pure‐tone audiometry with automated masking by Nicolas Wallaert, Antoine Perry, Sandra Quarino, Hadrien Jean, Gwenaelle Creff, Benoit Godey, Nihaad Paraouty

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Parallel Net: Frequency-Decoupled Neural Network for DOA Estimation in Underwater Acoustic Detection by Zhikai Yang, Xinyu Zhang, Zailei Luo, Tongsheng Shen, Mengda Cui, Xionghui Li

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Joint channel and impulsive noise estimation method for MIMO-OFDM systems by Xinrong LYU, Youming LI, Qiang GUO

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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

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DOA Estimation Method for Vector Hydrophones Based on Sparse Bayesian Learning by Hongyan Wang, Yanping Bai, Jing Ren, Peng Wang, Ting Xu, Wendong Zhang, Guojun Zhang

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Joint channel and impulsive noise estimation method for MIMO-OFDM systems by Xinrong LYU, Youming LI, Qiang GUO

Subjects: “…MIMO;OFDM;channel estimation;impulsive noise;sparse Bayesian learning…”
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Collaborative altitude-adaptive reinforcement learning for active search with unmanned aerial vehicle swarms by XIAO Zijian, Chen-Chun Hsia, XU Yanggang, REN Jiyuan, CHEN Xinlei

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Calibrating AI Models for Wireless Communications via Conformal Prediction by Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz

Subjects: “…Bayesian learning…”
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Distributed variational sparse Bayesian compressed sensing based on factor graphs by Cui-tao ZHU, Fan YANG, Han-xin WANG, Zhong-jie LI

Subjects: “…variational sparse Bayesian learning…”
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Receiver design of sparse Bayesian learning based MIMO-OFDM power line communication system by Xinrong LYU, Youming LI, Yongqing WU, Xiaobo TANG

Subjects: “…MIMO;OFDM;impulsive noise;power line communication;sparse Bayesian learning…”
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Design of transceivers based on sparse Bayesian learning for power line carrier communications by Xinrong LV, Youming LI, Mingchen YU

Subjects: “…power line carrier communication;channel estimation;impulsive noise;sparse Bayesian learning…”
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Improved Variational Bayes for Space-Time Adaptive Processing by Kun Li, Jinyang Luo, Peng Li, Guisheng Liao, Zhixiang Huang, Lixia Yang

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Electromagnetic Source Imaging With a Combination of Sparse Bayesian Learning and Deep Neural Network by Jiawen Liang, Zhu Liang Yu, Zhenghui Gu, Yuanqing Li

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A Method to Detect Concealed Damage in Concrete Tunnels Using a Radar Feature Vector and Bayesian Analysis of Ground-Penetrating Radar Data by Junfang Wang, Heng Chen, Jianfu Lin, Xiangxiong Li

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Joint channel and impulsive noise estimation method for OFDM systems by Xinrong LYU, Youming LI, Mingchen YU

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Online Federated Deep Probabilistic Learning-Based Smart Healthcare on Multi-Cloud Systems by Yehia Kotb, Soraia Oueida, Nour Mostafa, Nawaf Ali

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Indoor Localization and Tracking in Reconfigurable Intelligent Surface Aided mmWave Systems by Kunlun Li, Mohammed El-Hajjar, Chao Xu, Lajos Hanzo

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Bayesian Fictitious Play in Oligopoly: The Case of Risk-Averse Agents by Julide Yazar

Subjects: “…Bayesian learning…”
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A Sparse Bayesian Technique to Learn the Frequency-Domain Active Regressors in OFDM Wireless Systems by Carlos Crespo-Cadenas, María José Madero-Ayora, Juan A. Becerra, Elías Marqués-Valderrama, Sergio Cruces

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Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder by Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah, Ghulam Mustafa

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