Výsledky vyhledávání - "stacked sparse denoising autoencoder"

Electricity theft detection based on stacked sparse denoising autoencoder Autor Huang, Yifan, Xu, Qifeng

“…Inspired by the powerful feature extraction and the data reconstruction ability of autoencoder, a stacked sparse denoising autoencoder is developed for electricity theft detection in this paper…”
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Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier Autor Liu, Jinping, Xu, Longcheng, Xie, Yongfang, Ma, Tianyu, Wang, Jie, Tang, Zhaohui, Gui, Weihua, Yin, Huazhan, Jahanshahi, Hadi

“…This article proposes a robust end-to-end deep learning-induced fault recognition scheme by stacking multiple sparse-denoising autoencoders with a Softmax…”
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Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification Autor Vaiyapuri, Thavavel, Alaskar, Haya, Syed, Liyakathunisa, Aljohani, Eman, Alkhayyat, Ahmed, Shankar, K., Kumar, Sachin

“…•Present an optimal SSDAE to classify cervical cancer on pap smear images.•Employ Kapur's entropy segmentation and efficientnet feature extraction.•Propose…”
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Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder Autor Fan, Zunlin, Bi, Duyan, He, Linyuan, Shiping, Ma, Gao, Shan, Li, Cheng

“… In this paper, we propose a novel low-level structure feature extraction for image processing based on deep neural network, stacked sparse denoising autoencoder (SSDA…”
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Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine Autor Zhou, Yaluo, Zhang, Shaochuan, Liu, Wenguang, Zhang, Ruicheng

“…Aiming at the problems of random noise and insufficient extraction of flatness features in the data detected by the plate shaper during the rolling process of…”
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Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder Autor Dai, Juying, Tang, Jian, Shao, Faming, Huang, Shuzhan, Wang, Yangyang

“… To realize representative features mining and automatic recognition of bearing health condition, a diagnostic model of stacked sparse denoising autoencoder (SSDAE…”
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A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion Autor Ghosh, Swarup Kr, Biswas, Biswajit, Ghosh, Anupam

“…This paper proposes a deep unsupervised learning based denoising autoencoder model for the restoration of degraded mammogram with visual interpretation of…”
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A stacked convolutional sparse denoising autoencoder model for underwater heterogeneous information data Autor Wang, Xingmei, Zhao, Yixu, Teng, Xuyang, Sun, Weiqi

“… Specifically, for the first time, the stacked sparse denoising autoencoder (SSDA) was constructed by three sparse denoising autoencoders (SDA…”
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Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance Autor Xiao, Fei, Lu, Tianguang, Wu, Mingli, Ai, Qian

“… Then, an improved stacked sparse denoising autoencoder combined with supervised backpropagation training is proposed as a robust classifier. Results show that the proposed method is suitable for detecting various types of PQ disturbances and possesses high recognition accuracy despite insufficient training samples…”
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Enhanced CNN for Fruit Disease Detection and Grading Classification Using SSDAE-SVM for Postharvest Fruits Autor Patel, Himanshu B., Patil, Nitin J.

“…In the realm of agriculture, leveraging image processing has become pivotal for robust image analysis, especially in detecting fruit diseases. However,…”
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自编码网络在JavaScript恶意代码检测中的应用研究 Autor 龙廷艳, 万良, 丁红卫

“…TP391; 针对传统机器学习特征提取方法很难发掘JavaScript恶意代码深层次本质特征的问题,提出基于堆栈式稀疏降噪自编码网络(sSDAN)的JavaScript恶意代码检测方法.首先…”
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The optimally designed autoencoder network for compressed sensing Autor Zhang, Zufan, Wu, Yunfeng, Gan, Chenquan, Zhu, Qingyi

“… To this end, a deep learning based stacked sparse denoising autoencoder compressed sensing (SSDAE_CS) model, which mainly consists of an encoder sub-network and a decoder sub-network, is proposed and analyzed in this paper…”
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MOCSC: a multi-omics data based framework for cancer subtype classification Autor Ma, Yuanling, Guan, Jinting

“… Specifically, after dividing the training and test sets, for each omics data, the training set is first learned using a stacked sparse denoising autoencoder to extract its feature, and then the…”
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Denoising hybrid noises in image with stacked autoencoder Autor Xiufen Ye, Lin Wang, Huiming Xing, Le Huang

“…A method based on sparse denoising autoencoder for denoising hybrid noises in image is proposed in this paper. The method is experimented on natural images and…”
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Low-dose CT restoration via stacked sparse denoising autoencoders Autor Liu, Yan, Zhang, Yi

“… Stacked sparse denoising autoencoders, which were designed originally for training noisy samples, are adopted to construct the architecture…”
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Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine Autor Zhang, Nana, Ying, Shi, Zhu, Kun, Zhu, Dandan

“… To address these two issues, a novel defect prediction model called SSEPG based on Stacked Sparse Denoising AutoEncoders (SSDAE…”
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LLNet: A deep autoencoder approach to natural low-light image enhancement Autor Lore, Kin Gwn, Akintayo, Adedotun, Sarkar, Soumik

“… We show that a variant of the stacked-sparse denoising autoencoder can learn from synthetically darkened and noise…”
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A novel optimization-driven deep learning framework for the detection of DDoS attacks Autor Batchu, Raj Kumar, Bikku, Thulasi, Thota, Srinivasarao, Seetha, Hari, Ayoade, Abayomi Ayotunde

“…Distributed denial of service (DDoS) attack is one of the most hazardous assaults in cloud computing or networking. By depleting resources, this attack renders…”
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An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models Autor Dorathi Jayaseeli, J. D., Briskilal, J, Fancy, C., Vaitheeshwaran, V., Patibandla, R. S. M. Lakshmi, Syed, Khasim, Swain, Anil Kumar

“…Skin cancer is the most dominant and critical method of cancer, which arises all over the world. Its damaging effects can range from disfigurement to major…”
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Leveraging deep feature learning for wearable sensors based handwritten character recognition Autor Singh, Shashank Kumar, Chaturvedi, Amrita

“…Despite rapid advancements in technology, handwritten characters still hold significant roles in various fields, including education, communication, biometric…”
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