Water Quality Prediction Method Based on Reinforcement Learning Graph Neural Network by Mingming Yan, Zhe Wang

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An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion by J. Jasmine Shirley, M. Priya

Subjects: “…Autoencoder…”
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SuperTac - tactile data super-resolution via dimensionality reduction by Neel Patel, Rwik Rana, Deepesh Kumar, Nitish V. Thakor

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Secure edge-based smart grid communication using lightweight authentication modeling with autoencoders and real-world data by Omar Abdullah Saleh, Mesut Cevik

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Global Ocean Forecast Accuracy Improvement Due to Optimal Sensor Placement by Turko Nikita, Lobashev Aleksandr, Ushakov Konstantin Viktorovich, Kaurkin Maksim Nikolaevich, Kal'nickiy Leonid Yur'evich, Semin Sergey, Ibraev Rashit

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iVAE: an interpretable representation learning framework enhances clustering performance for single-cell data by Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen

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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

Subjects: “…multi-label classification; embedded space learning; variational autoencoder; transformer; label correlation…”
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Deep-learning-assisted reconfigurable metasurface antenna for real-time holographic beam steering by Ma Hyunjun, Kim Jin-Soo, Choe Jong-Ho, Park Q-Han

Subjects: “…autoencoder…”
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Drone Attitude and Position Prediction via Stacked Hybrid Deep Learning Model for Massive MIMO Applications by Abdullah Al-Ahmadi

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Artificial Intelligence for Fault Detection of Automotive Electric Motors by Federico Soresini, Dario Barri, Ivan Cazzaniga, Federico Maria Ballo, Gianpiero Mastinu, Massimiliano Gobbi

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Lightning Damage Detection Method Using Autoencoder: A Case Study on Wind Turbines with Different Blade Damage Patterns by Takuto Matsui, Kazuki Matsuoka, Kazuo Yamamoto

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Mastitis Classification in Dairy Cows Using Weakly Supervised Representation Learning by Soo-Hyun Cho, Mingyung Lee, Wang-Hee Lee, Seongwon Seo, Dae-Hyun Lee

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Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach anddeep neural networks by A. E. Ibor, D. O. Egete, A. O. Otiko, D. U. Ashishie

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Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks by P. Valarmathi, Y. Suganya, K. R. Saranya, S. Shanmuga Priya

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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

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Semi-supervised method for anomaly detection in HTTP traffic by Malki Ishara Wasundara, Junwei Zhou, Yanchao Yang, Dongdong Zhao, Jianwen Xiang

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Addressing Credit Card Fraud Detection Challenges with Adversarial Autoencoders by Shiyu Ma, Carol Anne Hargreaves

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VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection by Shiqi Wu, Xiangrong Zhang, Guanchun Wang, Puhua Chen, Jing Gu, Xina Cheng, Licheng Jiao

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BANSMDA: a computational model for predicting potential microbe-disease associations based on bilinear attention networks and sparse autoencoders by Xianzhi Liu, Mingmin Liang, Ge Yu, Shichang Tang, Ouxiang Wu, Bin Zeng, Lei Wang

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Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

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