Results 151 to 160 of about 13,513 (170)

AE-LSTM: Autoencoder with LSTM-Based Intrusion Detection in IoT

2022 International Telecommunications Conference (ITC-Egypt), 2022
Mohamed Mahmoud, Mahmoud Kasem, Abdelrahman Abdallah, Hyun Soo Kang   +3 more
openaire   +1 more source

SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection

Neural Networks
Anomaly detection in multivariate time series is of critical importance in many real-world applications, such as system maintenance and Internet monitoring. In this article, we propose a novel unsupervised framework called SVD-AE to conduct anomaly detection in multivariate time series. The core idea is to fuse the strengths of both SVD and autoencoder
Yueyue Yao, Jianghong Ma, Shanshan Feng, Yunming Ye   +3 more
openaire   +2 more sources

Autoencoders (AE)

2021
Cao Xiao, Jimeng Sun
openaire   +1 more source

Transfer-AE: A novel autoencoder-based impact detection model for structural digital twin

Applied Soft Computing
Accurately detecting the location and intensity of impacts is crucial for ensuring structural safety. Currently, AI-based structural impact detection methods are widely used for their excellent detection accuracy. However, their generalization capability is limited by the scenarios present in the training data.
Chengjia Han, Zixin Wang, Yuguang Fu, Shirley Dyke, Adnan Shahriar   +4 more
openaire   +2 more sources

MoEP-AE: Autoencoding Mixtures of Exponential Power Distributions for Open-Set Recognition

IEEE Transactions on Circuits and Systems for Video Technology, 2023
Jiayin Sun, Hong Wang, Qiulei Dong
openaire   +1 more source

Optimized design for absorption metasurface based on autoencoder (AE) and BiLSTM-Attention-FCN-Net

Physica Scripta
Abstract In order to speed up the process of optimizing design of metasurface absorbers, an improved design model for metasurface absorbers based on autoencoder (AE) and BiLSTM-Attention-FCN-Net (including bidirectional long-short-term memory network, attention mechanism, and fully-connection layer network) is proposed.
Lei Zhu, Wenchen Du, Liang Dong, Jinxu Wei   +3 more
openaire   +1 more source

AE-TCN: Autoencoder-Driven Temporal Convolutional Networks for Secure and Efficient Cold Chain Monitoring

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, Olumba, Solomon Goldman, Okwe, Gerald Ibe, Ugboaja Samuel Gregory, Chukwudi E Agbaraji, Udeani, Henrietta U, Adebola Folorunso, Chioma Violet Oleka, Jacob, Jacob A, Nnamdi, Henry I, Ogweda, Haruna, Opara, Simon Ifeanyi, Oladapo Ogunnaike, Anyanacho, Joy Nma, Gbubemi Erics   +14 more
openaire   +2 more sources

DRW-AE: A Deep Recurrent-Wavelet Autoencoder for Underwater Target Recognition

IEEE Journal of Oceanic Engineering, 2022
openaire   +1 more source

PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks

Journal of Mathematical Imaging and Vision, 2022
Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson   +2 more
openaire   +1 more source

AE-D2NN: Autoencoder in Diffractive Neural Network Form

2024 Photonics & Electromagnetics Research Symposium (PIERS)
Peijie Feng, Zongkun Zhang, Mingzhe Chong, Yunhua Tan   +3 more
openaire   +1 more source