Search Results - "Autoencoder neural network"

Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network by Tabassum, Tambiara, Toker, Onur, Khalghani, Mohammad Reza

“…Contemporary cyber–physical systems have evolved into highly autonomous and distributed entities, enabled by cutting-edge control frameworks and advanced…”
Get full text

A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction by Huang, Faming, Zhang, Jing, Zhou, Chuangbing, Wang, Yuhao, Huang, Jinsong, Zhu, Li

“…The environmental factors of landslide susceptibility are generally uncorrelated or non-linearly correlated, resulting in the limited prediction performances…”
Get full text

Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network by Chen, Min, Shi, Xiaobo, Zhang, Yin, Wu, Di, Guizani, Mohsen

“…At present, computed tomography (CT) is widely used to assist disease diagnosis. Especially, computer aided diagnosis (CAD) based on artificial intelligence…”
Get full text

LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network by Deng, Wenfeng, Li, Yuxuan, Huang, Keke, Wu, Dehao, Yang, Chunhua, Gui, Weihua

“…) and Autoencoder neural network (called LSTMED) for multivariate process monitoring with uneven dynamic features…”
Get full text

A One‐Class Autoencoder Neural Network Approach for Rapid Raman‐Based Pharmaceutical Quality Screening by Galeeva, Ekaterina V., Galeev, Roman R., Khokhlov, Alexander l., Saveliev, Anatoly A., Semanov, Dmitry A., Fomina, Irina. A., Chekanova, Yuliya. V., V.Somov, Dmitry

“…Raman spectroscopy is widely regarded as a rapid and nondestructive technique for pharmaceutical quality control. However, the development of robust…”
Get full text

Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand by Yadav, Mr. Amol Pandurang, Patil, Dr. Sandip.R.

“…This study presents a novel deep learning approach for surface electromyography (sEMG) gesture recognition using stacked autoencoder neural network…”
Get full text

Recognition of mineralization-related anomaly patterns through an autoencoder neural network for mineral exploration targeting by Mirzabozorg, Seyyed Ataollah Agha Seyyed, Abedi, Maysam

“…In mineral potential mapping, supervised machine learning algorithms have shown great promise in delineating and prioritizing potential areas. However, since…”
Get full text

Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network by Li, Xiang, Xu, Youjun, Lai, Luhua, Pei, Jianfeng

“…Adverse side effects of drug-drug interactions induced by human cytochrome P450 (CYP450) inhibition is an important consideration in drug discovery. It is…”
Get more information

Seismic random noise suppression using deep convolutional autoencoder neural network by Song, Hui, Gao, Yang, Chen, Wei, Xue, Ya-juan, Zhang, Hua, Zhang, Xiang

“… Contaminated seismic data seriously affect subsequent seismic data processing and imaging. In this paper, we propose a deep convolutional autoencoder neural network for denoising, which consists of encoding and decoding frameworks…”
Get full text

Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network by Ding, Xu, Song, ZhiMing, Wang, ChuanJun, Ji, KaiFan

“…A contact binary may be the progenitor of a red nova that eventually produces a merger event and have a cut-off period of around 0.2 days. Therefore, a large…”
Get full text

Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network by Aslam, Muhammad Aqeel, Xue, Cuili, Chen, Yunsheng, Zhang, Amin, Liu, Manhua, Wang, Kan, Cui, Daxiang

“…Deep learning is an emerging tool, which is regularly used for disease diagnosis in the medical field. A new research direction has been developed for the…”
Get full text

A multi–modal unsupervised fault detection system based on power signals and thermal imaging via deep AutoEncoder neural network by Cordoni, Francesco, Bacchiega, Gianluca, Bondani, Giulio, Radu, Robert, Muradore, Riccardo

“…In this paper a multi-modal unsupervised Deep Learning based algorithm for fault detection is proposed. Such method is applied to real data from a testing…”
Get full text

Robot skill learning in latent space of a deep autoencoder neural network by Pahič, Rok, Lončarević, Zvezdan, Gams, Andrej, Ude, Aleš

“…) in a latent space of the selected skill representation. The latent space is computed by a deep autoencoder neural network, with the data to train the network generated in simulation…”
Get full text

Anomaly detection during milk processing by autoencoder neural network based on near-infrared spectroscopy by Vasafi, Pegah Sadeghi, Paquet-Durand, Olivier, Brettschneider, Kim, Hinrichs, Jörg, Hitzmann, Bernd

“… The autoencoder neural network plays fundamental role in anomaly detection. To evaluate this capability, the raw spectra obtained from NIR as well as first derivative and combination of both were…”
Get full text

Unsupervised Damage Detection for Offshore Jacket Wind Turbine Foundations Based on an Autoencoder Neural Network by Feijóo, Maria del Cisne, Zambrano, Yovana, Vidal, Yolanda, Tutivén, Christian

“…Structural health monitoring for offshore wind turbine foundations is paramount to the further development of offshore fixed wind farms. At present time there…”
Get full text

Improved Position Estimation Algorithm of Agricultural Mobile Robots Based on Multisensor Fusion and Autoencoder Neural Network by Gao, Peng, Lee, Hyeonseung, Jeon, Chan-Woo, Yun, Changho, Kim, Hak-Jin, Wang, Weixing, Liang, Gaotian, Chen, Yufeng, Zhang, Zhao, Han, Xiongzhe

“… An improved position estimation algorithm based on multisensor fusion and autoencoder neural network is proposed…”
Get full text

Depression status identification using autoencoder neural network by Sharma, Vivek, Prakash, Neelam Rup, Kalra, Parveen

“…Process of Depression Detection Using Auto Encoder Network. [Display omitted] •An efficient machine learning algorithm for depression status detection based…”
Get full text

An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients by Bini, Sophie, Vedovato, Gabriele, Drago, Marco, Salemi, Francesco, Prodi, Giovanni A

Get full text

Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network by Devi, V. Anjana, Reddy, P.V. Bhaskar, Ponnada, Sreenu, Kumar, K. Suresh

“…In this work, an Intrusion Detection System (IDS) for Controller Area Network with Flexible Data Rate (CAN-FD) Vehicle Networks based on hybrid Deep Learning…”
Get full text

Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network by Hu, Di, Zhang, Chen, Yang, Tao, Chen, Gang

“…Anomaly detection is of great significance in condition-based maintenance of power plant equipment. The conventional fixed threshold detection method is not…”
Get full text