Výsledky vyhledávání - "Sparse stacked autoencoder"

Dynamic time warping optimization-based non-intrusive load monitoring for multiple household appliances Autor Li, Menghui, Tu, Zhaoyu, Wang, Jun, Xu, Peihua, Wang, Xianbo

“…Non invasive load monitoring (NILM) is beneficial for enhancing the monitoring capability of the distribution network and is crucial for improving the safety…”
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Sparse stacked autoencoder network for complex system monitoring with industrial applications Autor Deng, Ziwei, Li, Yuxuan, Zhu, Hongqiu, Huang, Keke, Tang, Zhaohui, Wang, Zhen

“…•A fault classification and isolation method based on SAE is proposed for complex system.•Deep learning model formed by AE with sparse and regular constraints…”
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Long-Distance Pipeline Safety Early Warning: A Distributed Optical Fiber Sensing Semi-Supervised Learning Method Autor Yang, Yiyuan, Zhang, Haifeng, Li, Yi

“…Pipeline safety early warning (PSEW) systems based on distributed optical fiber sensors are used to recognize and locate third-party events that may damage…”
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Cervical cancer classification using sparse stacked autoencoder and fuzzy ARTMAP Autor Liaw, Lawrence Chuin Ming, Tan, Shing Chiang, Goh, Pey Yun, Lim, Chee Peng

“…Cervical cancer (CC) is affecting women predominantly, and early diagnosis could cure this cancer. This study aims to design and develop an effective deep…”
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Psychosis speech recognition algorithm based on deep embedded sparse stacked autoencoder and manifold ensemble Autor Zhang, Yi, Qin, Xiaolin, Lin, Yuan, Li, Yongming, Wang, Pin, Zhang, Zuwei, Li, Xiaofei

“…Speech feature learning is the core and key of speech recognition method for mental illness. Deep feature learning can automatically extract speech features,…”
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Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition Autor Chen, Hong, Lin, Yuan, Li, Yongming, Wang, Wei, Wang, Pin, Lei, Yan

“…Speech feature learning is the key to speech mental health recognition. Deep feature learning can automatically extract the speech features but suffers from…”
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Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning Autor Fotiadou, Konstantina, Tsagkatakis, Grigorios, Tsakalides, Panagiotis

“…Bracketed High Dynamic Range (HDR) imaging architectures acquire a sequence of Low Dynamic Range (LDR) images in order to either produce a HDR image or an…”
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Proactive Critical Energy Infrastructure Protection via Deep Feature Learning Autor Fotiadou, Konstantina, Velivassaki, Terpsichori Helen, Voulkidis, Artemis, Skias, Dimitrios, De Santis, Corrado, Zahariadis, Theodore

“…Autonomous fault detection plays a major role in the Critical Energy Infrastructure (CEI) domain, since sensor faults cause irreparable damage and lead to…”
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