Reconstruction Residuals Based Long-term Voltage Stability Assessment Using Autoencoders by Haosen Yang, Robert C. Qiu, Houjie Tong

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Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics by Simona Ruxandra Volovăț, Tudor Ovidiu Popa, Dragoș Rusu, Lăcrămioara Ochiuz, Decebal Vasincu, Maricel Agop, Călin Gheorghe Buzea, Cristian Constantin Volovăț

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VAEFL: Integrating variational autoencoders for privacy preservation and performance retention in federated learning by Li Zhixin, Liu Yicun, Li Jiale, Ye Guangnan, Chai Hongfeng, Lu Zhihui, Wu Jie

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Interference Suppression Using Deep Learning: Current Approaches and Open Challenges by Taiwo Oyedare, Vijay K. Shah, Daniel J. Jakubisin, Jeffrey H. Reed

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Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning by Ivan Pisa, Antoni Morell, Ramón Vilanova, Jose Lopez Vicario

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Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery by Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Evangelos Maltezos

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Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

Subjects: “…variational autoencoders…”
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Unsupervised Deep Learning for Structural Health Monitoring by Roberto Boccagna, Maurizio Bottini, Massimo Petracca, Alessia Amelio, Guido Camata

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Expert System Based on Autoencoders for Detection of Broken Rotor Bars in Induction Motors Employing Start-Up and Steady-State Regimes by Martin Valtierra-Rodriguez, Jesus Rooney Rivera-Guillen, J. Jesus De Santiago-Perez, Gerardo Israel Perez-Soto, Juan Pablo Amezquita-Sanchez

Subjects: “…autoencoders…”
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Personalized Drug Recommendation System Using Wasserstein Auto-encoders and Adverse Drug Reaction Detection with Weighted Feed Forward Neural Network (WAES-ADR) in Healthcare by J Omana, P. N Jeipratha, K Devi, S Benila, K Revathi

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Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders by Yongliang Zhang, Yongliang Zhang, Yanxing Wang, Yaxin Yi, Junlin Wang, Jie Liu, Zhixi Chen

Subjects: “…one-dimensional convolutional autoencoders…”
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Energy conservation using PISAE and cross-layer-based opportunistic routing protocol (CORP) for wireless sensor network by Vivek Pandiya Raj, M. Duraipandian

Subjects: “…Partly-Informed Sparse Autoencoder (PISAE)…”
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MAE-Based Self-Supervised Pretraining Algorithm for Heart Rate Estimation of Radar Signals by Yashan Xiang, Jian Guo, Ming Chen, Zheyu Wang, Chong Han

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Semantic Information Enhanced Network Embedding with Completely Imbalanced Labels by FU Kun, GUO Yun-peng, ZHUO Jia-ming, LI Jia-ning, LIU Qi

Subjects: “…network representation learning|graph embedding|graph attention network|completely imbalanced label|varia-tional autoencoders…”
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A Bayesian Nonlinear Reduced Order Modeling Using Variational AutoEncoders by Nissrine Akkari, Fabien Casenave, Elie Hachem, David Ryckelynck

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On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps by Arjun Vinayak Chikkankod, Luca Longo

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Cross-Task Fault Diagnosis Based on Deep Domain Adaptation With Local Feature Learning by Ying Tian, Yin Tang, Xin Peng

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Biometric-Based Key Generation and User Authentication Using Voice Password Images and Neural Fuzzy Extractor by Alexey Sulavko, Irina Panfilova, Daniil Inivatov, Pavel Lozhnikov, Alexey Vulfin, Alexander Samotuga

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Dual Reconstructive Autoencoder for Crowd Localization and Estimation in Density and FIDT Maps by Felipe I. Lamas, Jorge E. Pezoa, Sebastian E. Godoy, Gabriel A. Saavedra, Sergio N. Torres, Gonzalo A. Montalva, Weixiao Meng

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Unsupervised Anomaly Detection With Variational Autoencoders Applied to Full‐Disk Solar Images by Marius Giger, André Csillaghy

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