Suchergebnisse - Deep stacked Autoencoder

Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and k -Nearest Neighbor Scheme von Dairi, Abdelkader, Harrou, Fouzi, Ying Sun, Senouci, Mohamed

“… The proposed method uses a deep stacked auto-encoders (DSA) model that combines the greedy learning features with the dimensionality reduction capacity and employs an unsupervised k -nearest neighbors (KNN …”
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A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network von Wang, Lei, You, Zhu-Hong, Chen, Xing, Xia, Shi-Xiong, Liu, Feng, Yan, Xin, Zhou, Yong, Song, Ke-Jian

“… In this article, we propose a new computational method for predicting DTIs from drug molecular structure and protein sequence by using the stacked autoencoder of deep learning, which can adequately …”
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Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder: Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder von Wang, Shui-Hua, Satapathy, Suresh Chandra, Zhou, Qinghua, Zhang, Xin, Zhang, Yu-Dong

“… ) as the feature extractor and deep stacked sparse autoencoder (DSSAE) as the classifier. In addition, 18-way data augmentation is employed to avoid overfitting …”
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Deep Stacked Autoencoder Based Long-Term Spectrum Prediction Using Real-World Data von Pan, Guangliang, Wu, Qihui, Ding, Guoru, Wang, Wei, Li, Jie, Xu, Fuyuan, Zhou, Bo

“… In this paper, we first propose a stacked autoencoder (SAE) and bi-directional long short-term memory (Bi-LSTM …”
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Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder—DeepBreath von Soleymani, Farzan, Paquet, Eric

“… •Extracting high-level features using restricted stacked autoencoder.•A convolutional neural network is employed to enforce the policy …”
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Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network von Wang, Yan-Bin, You, Zhu-Hong, Li, Xiao, Jiang, Tong-Hai, Chen, Xing, Zhou, Xi, Wang, Lei

“… ). Then, these extracted features were reconstructed using the stacked autoencoder. Finally, a novel …”
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Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network von Yu, Wenhao, Chen, Yujie

“… Then, a stacked autoencoder‐based deep neural network model is trained to learn the pattern features of polyline …”
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Cyber forensic framework for big data analytics using Sunflower Jaya optimization‐based Deep stacked autoencoder von Venugopal, Sabaresan, Sathianesan, Godfrey Winster, Rengaswamy, Ramesh

“… ‐based Deep stacked autoencoder (SFJO‐based Deep stacked autoencoder) is proposed to perform the cyber forensic framework …”
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Deep Stacked Sparse Autoencoders – A Breast Cancer Classifier von Munir, Muhammad Asif, Aslam, Muhammad Aqeel, Shafique, Muhammad, Ahmed, Rauf, Mehmood, Zafar

“… In this article, Deep Stacked Sparse Autoencoders for breast cancer diagnostic and classification are proposed …”
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Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label von Xu, Fan, Tse, Wai tai Peter, Tse, Yiu Lun

“… Most deep learning models such as stacked autoencoder (SAE) and stacked denoising autoencoder (SDAE …”
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Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis von Devi, S. Anjali, Ram, M. Sitha, Dileep, Pulugu, Pappu, Sasibhushana Rao, Rao, T. Subha Mastan, Malyadri, Mula

“… With the rapid growth of Internet technology and social networks, the generation of text-based information on the web is increased. To ease the Natural …”
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KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network von Khamparia, Aditya, Saini, Gurinder, Pandey, Babita, Tiwari, Shrasti, Gupta, Deepak, Khanna, Ashish

“… This research paper offers a novel deep learning framework for chronic kidney disease classification using stacked autoencoder model utilizing multimedia data with a softmax …”
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IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model von Wang, Lei, You, Zhu-Hong, Li, Jian-Qiang, Huang, Yu-An

“… Emerging evidence indicates that circular RNA (circRNA) has been an indispensable role in the pathogenesis of human complex diseases and many critical …”
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Feature selection and hybrid CNNF deep stacked autoencoder for botnet attack detection in IoT von Kalidindi, Archana, Arrama, Mahesh Babu

“… Hence, in this paper a Deep Learning (DL) model is introduced for identifying botnets in IoT …”
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Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System von Alo, Uzoma Rita, Nweke, Henry Friday, Teh, Ying Wah, Murtaza, Ghulam

“… Human motion analysis using a smartphone-embedded accelerometer sensor provided important context for the identification of static, dynamic, and complex …”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network von Sohaib, Muhammad, Kim, Jong-Myon

“… In this study, using complex envelope spectra and stacked sparse autoencoder …”
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Facial emotion recognition using modified HOG and LBP features with deep stacked autoencoders von Lakshmi, D., Ponnusamy, R.

“… The extracted features of these three regions are concatenated and reduced its dimensionality using Deep Stacked AutoEncoders …”
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Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion von Yu, Yang, Li, Jiantao, Li, Jianchun, Xia, Yong, Ding, Zhenghao, Samali, Bijan

“… Then, the deep network based on stacked autoencoders (SAE) is established at each sensor for initial condition diagnosis, where extracted principal components and corresponding condition categories are inputs and output, respectively …”
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Stacked autoencoder based deep random vector functional link neural network for classification von Katuwal, Rakesh, Suganthan, P.N.

“… Inspired by the better performance of RVFL over ELM, in this paper, we propose several deep RVFL variants by utilizing the framework of stacked autoencoders …”
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Evolutionary-Based Deep Stacked Autoencoder for Intrusion Detection in a Cloud-Based Cyber-Physical System von Duhayyim, Mesfer Al, Alissa, Khalid A., Alrayes, Fatma S., Alotaibi, Saud S., Tag El Din, ElSayed M., Abdelmageed, Amgad Atta, Yaseen, Ishfaq, Motwakel, Abdelwahed

“… This study develops a new Stochastic Fractal Search Algorithm with Deep Learning Driven Intrusion Detection system (SFSA-DLIDS …”
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