Výsledky vyhledávání - "deep sparse autoencoder"

Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction Autor Chen, Luefeng, Zhou, Mengtian, Su, Wanjuan, Wu, Min, She, Jinhua, Hirota, Kaoru

“… However, DNN suffers from problems of learning efficiency and computational complexity. To address these problems, deep sparse autoencoder network (DSAN…”
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Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity Autor Lei, Song, Lei, Xiujuan, Chen, Ming, Pan, Yi

“… The method utilizes a deep sparse autoencoder and integrates drug–disease similarities. First, the researchers constructed a drug…”
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Deep sparse autoencoder integrated with three‐stage framework for glaucoma diagnosis Autor Wang, Wenle, Zhou, Wei, Ji, Jianhang, Yang, Jikun, Guo, Wei, Gong, Zhaoxuan, Yi, Yugen, Wang, Jianzhong

“… around the Optic Disc to reduce the computational cost and nonobjective interference. In the second stage, Deep Sparse Autoencoder…”
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Assistive communication system using deep sparse autoencoder with feature learning to assist people with hearing disabilities Autor Maashi, Mashael, Aljohani, Nasser, Alsahafi, Yaser Abdulaziz, Rizwanullah, Mohammed

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Predicting potential microbe-disease associations based on heterogeneous graph attention network and deep sparse autoencoder Autor Wang, Bo, Zhao, Wenlong, Du, Xiaoxin, Zhang, Jianfei, Zhang, Chunyu, Wang, Liping, He, Yang

“… We propose a computational framework called graph attention convolutional deep sparse autoencoder microbe-disease association (GCDSAEMDA…”
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A detection method of oil content for maize kernels based on CARS feature selection and deep sparse autoencoder feature extraction Autor Yang, Dongfeng, Hu, Jun

“… Competitive adaptive re-weighted sampling (CARS) is used to choose features, while the deep sparse autoencoder (DSAE…”
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Deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations Autor Li, Yakun, Ren, Jiadong, Liu, Jiaomin, Chang, Yixin

“… In this paper, a deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations (DSAP-AL…”
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Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition Autor Li, Qi, Liu, Yunqing, Shang, Yujie, Zhang, Qiong, Yan, Fei

“… To address the above issues, a novel model is presented in this paper. Initially, a deep sparse autoencoder network (DSAE…”
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Detection of Pitting in Gears Using a Deep Sparse Autoencoder Autor Qu, Yongzhi, He, Miao, Deutsch, Jason, He, David

“…In this paper; a new method for gear pitting fault detection is presented. The presented method is developed based on a deep sparse autoencoder…”
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Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder Autor Zhu, Yi, Wu, Xindong, Li, Yun, Qiang, Jipeng, Yuan, Yunhao

“…Domain adaptation aims to transfer knowledge between different domains to develop an effective hypothesis in the target domain with scarce labeled data, which…”
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Bearing Fault Diagnosis Using Deep Sparse Autoencoder Autor Saufi, S R, Ahmad, Z A B, Leong, M S, Hee, L M

“…Rolling element bearing is an important component in various machinery. Faulty on bearing cause severe equipment damage that lead to high maintenance cost. The…”
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Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals Autor Taniguchi, Tadahiro, Nakashima, Ryo, Liu, Hailong, Nagasaka, Shogo

“… To achieve this, the nonparametric Bayesian double articulation analyzer (NPB-DAA) with the deep sparse autoencoder (DSAE…”
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Online Public Opinion Situation Assessment by Deep Sparse Autoencoder and Time-Series Modeling Convolutional Neural Network Autor Sun, Wei, Xiao, Ran, Li, Xuanmo

“… This model employs Deep Sparse Autoencoder (DSAE) and Time-Series Modeling Convolutional Neural Networks (TBSMA-CNN…”
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Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System Autor Ahmadian, Milad, Ahmadi, Mahmood, Ahmadian, Sajad, Jafar Jalali, Seyed Mohammad, Khosravi, Abbas, Nahavandi, Saeid

“… In this regard, we propose a recommender system in this paper based on deep sparse autoencoder and particle swarm optimization…”
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A new deep sparse autoencoder for community detection in complex networks Autor Fei, Rong, Sha, Jingyuan, Xu, Qingzheng, Hu, Bo, Wang, Kan, Li, Shasha

“… To this purpose, a novel deep sparse autoencoder for community detection, named DSACD, is proposed in this paper…”
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Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution Autor N., Saranya, Haldorai, Anandakumar

“…A great amount of data is generated by the Internet and communication areas’ rapid technological improvement, which expands the size of the network. These…”
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Alz-SAENet: A Deep Sparse Autoencoder based Model for Alzheimer’s Classification Autor Reddy, G Nagarjuna, Reddy, K Nagi

“… we built an advanced deep sparse autoencoder-based architecture, named Alz-SAENet for the identification of diseased from typical control subjects using MRI volumes…”
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Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder Autor Liu, HaiLong, Taniguchi, Tadahiro, Takenaka, Kazuhito, Bando, Takashi

“…Data representing driving behavior, as measured by various sensors installed in a vehicle, are collected as multi-dimensional sensor time-series data. These…”
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Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal Autor Saufi, Syahril Ramadhan, Isham, Muhammad Firdaus, Ahmad, Zair Asrar, Hasan, M. Danial Abu

“… In order to solve this problem, this paper introduces a new IFD technique based on a deep sparse autoencoder (DSAE…”
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Deep Sparse Autoencoder for Feature Extraction and Diagnosis of Locomotive Adhesion Status Autor He, Jing, Liu, Jianhua, Cheng, Xiang, Zhang, Chang-fan, Liu, Guangwei

“…The model is difficult to establish because the principle of the locomotive adhesion process is complex. This paper presents a data-driven adhesion status…”
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