Results 181 to 190 of about 3,700 (193)
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This paper presents AE-TCN, an Autoencoder-Driven Temporal Convolutional Network designed for se-cure and efficient cold chain monitoring. AE-TCN combines autoencoders for feature learning and anomalydetection with Temporal Convolutional Networks (TCNs) to capture the temporal structure of time seriesdata.
Eziama, Elvin Ugonna +14 more
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Eziama, Elvin Ugonna +14 more
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DRW-AE: A Deep Recurrent-Wavelet Autoencoder for Underwater Target Recognition
IEEE Journal of Oceanic Engineering, 2022openaire +1 more source
AE-D2NN: Autoencoder in Diffractive Neural Network Form
2024 Photonics & Electromagnetics Research Symposium (PIERS)Peijie Feng +3 more
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NSA-AE: An inadequately represented immune spaces NSA augmented via autoencoders
NeurocomputingJiangchuan Chen +7 more
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LTC-AE: Liquid Time Constant Autoencoders for Time Series Anomaly Detection
2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)Riya Srisailam Sailesh +3 more
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ViT-AE: A Self-Supervised Vision Transformer Autoencoder for Baggage Threat Localization
2025 4th International Conference on Communication, Computing and Digital Systems (C-CODE)M. Mouiz Aslam +4 more
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MuAE: A Mutation Testing Framework for Evaluating Autoencoders
2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC)Samer Y. Khamaiseh +3 more
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BiMamba-AE: Bidirectional State Space Model based Autoencoder for Industrial Fault Diagnosis
2025 6th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)openaire +1 more source

