Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder per Md. Nazmul Hasan, Sana Ullah Jan, Insoo Koo

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Deep Learning Autoencoder Study on ECG Signals per Dandi Mochamad Reza, Satria Mandala, Salim M. Zaki, Eileen Su Lee Ming

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Seismic Reflection Analysis of AETA Electromagnetic Signals per Zhenyu Bao, Shanshan Yong, Xin’an Wang, Chao Yang, Jinhan Xie, Chunjiu He

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The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencod... per Yangde Gao, Zahoor Ahmad, Jong-Myon Kim

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LSTM-Autoencoder-Based Incremental Learning for Industrial Internet of Things per Atallo Kassaw Takele, Balazs Villanyi

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Multistep Forecasting of Power Flow Based on LSTM Autoencoder: A Study Case in Regional Grid Cluster Proposal per Fachrizal Aksan, Yang Li, Vishnu Suresh, Przemysław Janik

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Klasifikasi Nyeri pada Video Ekspresi Wajah Bayi Menggunakan DCNN Autoencoder dan LSTM per Yosi Kristian, I Ketut Eddy Purnama, Effendy Hadi Sutanto, Lukman Zaman, Esther Irawati Setiawan, Mauridhi Hery Purnomo

Matèries: “…neural network, dcnn, lstm, autoencoder, klasifikasi nyeri, ekspresi wajah bayi…”
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Anomaly Detection in Fractal Time Series with LSTM Autoencoders per Lyudmyla Kirichenko, Yulia Koval, Sergiy Yakovlev, Dmytro Chumachenko

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Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers per Ahlam Mallak, Madjid Fathi

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LSTM-Autoencoder Based Anomaly Detection Using Vibration Data of Wind Turbines per Younjeong Lee, Chanho Park, Namji Kim, Jisu Ahn, Jongpil Jeong

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TimeTector: A Twin-Branch Approach for Unsupervised Anomaly Detection in Livestock Sensor Noisy Data (TT-TBAD) per Junaid Khan Kakar, Shahid Hussain, Sang Cheol Kim, Hyongsuk Kim

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Objective Falls Risk Assessment Using Markerless Motion Capture and Representational Machine Learning per Sean Maudsley-Barton, Moi Hoon Yap

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Estimation of Frequency-Dependent Impedances in Power Grids by Deep LSTM Autoencoder and Random Forest per Azam Bagheri, Massimo Bongiorno, Irene Y. H. Gu, Jan R. Svensson

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GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis per Daehee Lee, Hyunseung Choo, Jongpil Jeong

Matèries: “…long short-term memory (LSTM) autoencoder…”
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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions per R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

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A Combined Semi-Supervised Deep Learning Method for Oil Leak Detection in Pipelines Using IIoT at the Edge per Christos Spandonidis, Panayiotis Theodoropoulos, Fotis Giannopoulos

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