Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework by Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li

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AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation by Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Guneser, Raghad Al-Shabandar, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

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Deep learning based predictive models for real time accident prevention in autonomous vehicle networks by Ahmed Almutairi, Abdullah Faiz Al Asmari, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

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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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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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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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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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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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Geological Stratification Technology Based on Artificial Intelligence Algorithms and Its Application Effects by GAO Yuan, YAO Weihua, CAI Shaofeng, LI Liang, XUE Yuan, ZHAO Peipei, WANG Xiaoyang, WEI Wei

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Failure Detection in Sensors via Variational Autoencoders and Image-Based Feature Representation by Luis Miguel Moreno Haro, Adaiton Oliveira-Filho, Bruno Agard, Antoine Tahan

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Urban ecological environment quality evaluation using deep autoencoder integration of multisource remote sensing data by Shengtang Wang, Weizhen Wang, Feinan Xu

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Recurrent Neural Network-Based Autoencoder for Problems of Automat-ic Time Series Analysis at Power Facilities by Matrenin P.V., Khalyasmaa A.I., Potachits Y.V.

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Condition-Aware Autoencoder and Transfer Learning-Based Estimation of Milling Cutting Forces from Spindle Vibration Signals by Je-Doo Ryu, Jungmin Lee, Sung-Ryul Kim, Min Cheol Lee

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A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang (Bill) Tseng, Tsung-Han Tsai

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