Suchergebnisse - "unsupervised autoencoder"

An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing von Alfaro-Mejia, Estefania, Delgado, Carlos J., Manian, Vidya

“… Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps …”
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Enhancing cybersecurity in virtual power plants by detecting network based cyber attacks using an unsupervised autoencoder approach von Singh, Kumari Nutan, Goswami, Arup Kumar, Chudhury, Nalin Behari Dev, Shuaibu, Hassan Abdurrahman, Ustun, Taha Selim

“… The increasing adoption of the Internet of Things (IoT) in energy systems has brought significant advancements but also heightened cyber security risks …”
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Anomaly Detection in Networking Logs Using Unsupervised Autoencoder Learning von Bar, Kaushik

“… Modern cloud-based infrastructures frequently operate across multilayered, multi-OS environments supported by numerous vendors. Diagnosing anomalies in such …”
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Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder Model von Su, Lingtao, Xu, Chunhui, Zeng, Shuai, Su, Li, Joshi, Trupti, Stacey, Gary, Xu, Dong

“… ) model to map gene expressions into a latent space and adapted a standard unsupervised autoencoder (AE …”
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An End-to-End Underwater-Image-Enhancement Framework Based on Fractional Integral Retinex and Unsupervised Autoencoder von Yu, Yang, Qin, Chenfeng

“… As an essential low-level computer vision task for remotely operated underwater robots and unmanned underwater vehicles to detect and understand the underwater …”
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A Novel Unsupervised Autoencoder-Based HFOs Detector in Intracranial EEG Signals von Li, Weilai, Zhong, Lanfeng, Xiang, Weixi, Kang, Tongzhou, Lai, Dakun

“… High frequency oscillations (HFOs) have demonstrated their potency acting as an effective biomarker in epilepsy. However, most of the existing HFOs detectors …”
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Speech-based Depression Detection Using Unsupervised Autoencoder von Sun, Guangyao, Zhao, Shenghui, Zou, Bochao, An, Yubo

“… As we know, depression detection is of great importance for its timely treatment. In this paper, a speech-based depression detection method using unsupervised autoencoder is proposed …”
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PerDetect: A Personalized Arrhythmia Detection System Based on Unsupervised Autoencoder von Zhong, Zhaoyi, Sun, Le

“… This paper proposes a personalized arrhythmia detection system PerDetect based on an unsupervised autoencoder …”
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Unsupervised Autoencoder Approach for Precise Line-Type Mura Detection and Classification von Chang, Ting-Yu, Lin, Chia-Yu

“… Mura refers to surface defects or uneven brightness in panel manufacturing and is classified by severity into light Mura and serious Mura. Due to limited data, …”
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Online Unsupervised Adaptation of Latent Representation for Myoelectric Control During User-Decoder Co-Adaptation von Deng, Hanjie, Wei, Zhikai, Hu, Xuhui, Zeng, Hong, Song, Aiguo, Zhang, Dingguo, Farina, Dario

“… Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for external devices, have applications in active prosthesis …”
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An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing von Alfaro-Mejia, Estefania, Delgado, Carlos J, Manian, Vidya

“… Spectral Unmixing is an important technique in remote sensing used to analyze hyperspectral images to identify endmembers and estimate abundance maps. Over the …”
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A Hybrid Deep Physics Neural Network Model for Unsupervised Autoencoder to Perform Data Conditioning von Madasu, Srinath, Rangarajan, Keshava P.

“… Denoising, smoothing, missing data, and outlier issues that occur in many fields involve finding models for noise and data. However, the models often make …”
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Correlation and Root Cause Analysis of Trace Data Using an Unsupervised Autoencoder

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US Patent Issued to International Business Machines on Feb. 6 for "Correlation and root cause analysis of trace data using an unsupervised autoencoder" (Australian Inventors)

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Research on Anomaly Detection of Civil Aircraft Hydraulic System Based on Multivariate Monitoring Data von Yan, Hongsheng, Zuo, Hongfu, Sun, Jianzhong, Gao, Ningyu, Wang, Fangyuan

“… The hydraulic system is one of the most important systems of an aircraft, and the stainability and reliability of this complex dynamical system directly affect …”
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Ensemble unsupervised autoencoders and Gaussian mixture model for cyberattack detection von An, Peng, Wang, Zhiyuan, Zhang, Chunjiong

“… Previous studies have adopted unsupervised machine learning with dimension reduction functions for cyberattack detection, which are limited to performing …”
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Unsupervised autoencoders with features in the electromechanical impedance domain for early damage assessment in FRP-strengthened concrete elements von Perera, Ricardo, Montes, Javier, Gómez, Alejandra, Barris, Cristina, Baena, Marta

“… This paper presents the development of a robust automatic diagnosis technique that uses raw Electro-Mechanical Impedance (EMI) signals and deep autoencoder …”
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Synthetic time series dataset generation for unsupervised autoencoders von Klopries, Hendrik, Torres, David Orlando Salazar, Schwung, Andreas

“… In Machine Learning, large models need to have access to a huge amount of training data. This requirement applies to many applications in an industrial …”
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Unsupervised learning with a physics-based autoencoder for estimating the thickness and mixing ratio of pigments von Shitomi, Ryuta, Tsuji, Mayuka, Fujimura, Yuki, Funatomi, Takuya, Mukaigawa, Yasuhiro, Morimoto, Tetsuro, Oishi, Takeshi, Takamatsu, Jun, Ikeuchi, Katsushi

“… This paper proposes an unsupervised autoencoder model for thickness and mixing ratio estimation …”
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Deep learning classification of reading disability with regional brain volume features von Joshi, Foram, Wang, James Z., Vaden, Kenneth I., Eckert, Mark A.

“… •Deformation-based deep learning was used to classify reading disability.•Autoencoder pretraining optimized neural network classification accuracy.•Reading …”
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