Výsledky vyhledávání - "convolutional sparse autoencoder"

Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder Autor Chen, Kunjin, Hu, Jun, He, Jinliang

“…We present in this paper a novel method for fault detection and classification in power transmission lines based on convolutional sparse autoencoder…”
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XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition Autor Mohana, M., Subashini, P., Ghinea, George

“… as the Deep Semi-supervised Convolutional Sparse Autoencoder to address the aforementioned issues and enhance FER performance and prediction…”
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Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest Autor Yang, Na, Zhang, Zhenkai, Yang, Jianhua, Hong, Zenglin

“…-mineralization samples when they are utilized in mineralized-anomaly identification. This paper utilizes a convolutional sparse autoencoder network for realizing mineralized-anomaly identification…”
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IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network Autor Ramkumar, M., Jamaesha, S. Syed, Gowtham, M. S., Kumar, C. Santhosh

“… Finally, Siamese convolutional sparse autoencoder network is proposed for epileptic seizure detection and fire hawk optimization…”
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Detection and classification of transmission line faults based on unsupervised feature learning and convolutional sparse autoencoder Autor Chen, Kunjin, Hu, Jun, He, Jinliang

“…We present in this paper a novel method for fault detection and classification in power transmission lines based on convolutional sparse autoencoder (CSAE…”
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Aggregating Dual Attention Residual Network and Convolutional Sparse Autoencoder to Enhance the Diagnosis of Alzheimer's Disease Autor Jing, Shuiqing, Li, Ruohan, Mu, Shiguan, Shan, Shixiao, Li, Lanlan, Li, Jianlong, Sun, Yuan, Cui, Xinchun

“…) A convolutional sparse autoencoder, fortified with dual hidden strata, was devised to extract both global and spatial intelligence from PET images, thereby bolstering diagnostic efficacy; 3…”
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Deep learning powered rapid lifetime classification of lithium-ion batteries Autor Fei, Zicheng, Zhang, Zijun, Yang, Fangfang, Tsui, Kwok-Leung

“…Lithium-ion batteries (LIBs) are currently the primary energy storage devices for modern electric vehicles (EVs). Early-cycle lifetime/quality classification…”
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Artists Identification Using Convolutional Sparse Autoencoder Autor Putri, Vinnia Kemala, Indra Kurniadi, Felix

“… The contribution of this paper lies in the use of Convolutional Sparse Autoencoder to classify Van Gogh and Paul Gauguin's paintings…”
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A hybrid deep neural network based prediction of 300 MW coal-fired boiler combustion operation condition Autor Han, ZheZhe, Huang, YiZhi, Li, Jian, Zhang, Biao, Hossain, Md. Moinul, Xu, ChuanLong

“…In power generation industries, boilers are required to be operated under a range of different conditions to accommodate demands for fuel randomness and energy…”
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Convolutional Sparse Autoencoders for Image Classification Autor Luo, Wei, Li, Jun, Yang, Jian, Xu, Wei, Zhang, Jian

“…Convolutional sparse coding (CSC) can model local connections between image content and reduce the code redundancy when compared with patch-based sparse…”
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Unsupervised hierarchical convolutional sparse auto-encoder for high spatial resolution imagery scene classification Autor Han, Xiaobing, Zhong, Yanfei, Zhao, Bei, Zhang, Liangpei

“…Recently, efficiently representing the scenes from a large volume of high spatial resolution (HSR) images is a critical problem to be solved. Traditional scene…”
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Attention-enhanced residual autoencoder for NIR spectral feature extraction and classification of grain varieties Autor Kabiso, Abel Chernet, Ko, Cheng-Hao

“…Accurate identification of grain cultivars is critical for improving crop yields, streamlining agricultural workflows, and ensuring global food security…”
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A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features Autor Xiang, Fei, Liu, Mingyue, Chen, Wenna, Zheng, Shaojie, Zhang, Jincan, Du, Ganqin

“…Epilepsy is a neurological disorder characterized by abnormal neuronal discharges in the brain, posing a persistent challenge in clinical diagnosis. This study…”
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Deep transfer learning based feature fusion model with Bonobo optimization algorithm for enhanced brain tumor segmentation and classification through biomedical imaging Autor Gurunathan, Pradeep, Srinivasan, Preethi Saroj, S, Ravimaran

“…The brain tumour (BT) is an aggressive disease among others, which leads to a very short life expectancy. Therefore, early and prompt treatment is the main…”
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Integrating hybrid bald eagle crow search algorithm and deep learning for enhanced malicious node detection in secure distributed systems Autor Al-Matarneh, Feras Mohammed

“…A distributed system comprises several independent units, each planned to track its tasks without interconnecting with the rest of them, excluding messaging…”
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Representation learning with convolutional sparse autoencoders for remote sensing Autor Firat, O., Vural, F. T. Y.

“…The performance of object recognition and classification on remote sensing imagery is highly dependent on the quality of extracted features and the amount of…”
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Deep learning-based computer aided diagnosis model for skin cancer detection and classification Autor Adla, Devakishan, Reddy, G. Venkata Rami, Nayak, Padmalaya, Karuna, G.

“…Skin cancer is a commonly occurring disease, which affects people of all age groups. Automated detection of skin cancer is needed to decrease the death rate by…”
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Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data Autor Shi, Mingkuan, Ding, Chuancang, Shen, Changqing, Huang, Weiguo, Zhu, Zhongkui

“…In recent years, machine learning has been widely used in various fault diagnosis scenarios. However, existing machine learning algorithms tend to work well in…”
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Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm Autor Liu, Ting, Yan, Shun, Wang, Guofeng

“…High-quality forward-looking sonar images are the basic guarantee for underwater object detection and classification of autonomous underwater vehicle (AUV)…”
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Advanced artificial intelligence with a two-tier optimization framework based on smart human activity recognition on assistive technologies for disabled people Autor Alohali, Manal Abdullah, Alzahrani, Mohammed Yahya, Alghamdi, Asmaa Mansour, Yaseen, Ishfaq

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