Výsledky vyhľadávania - Deep sparse autoencoder network~

Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition

Autori: Qi Li Yunqing Liu Yujie Shang a ďalší

Zdroj: Entropy, Vol 24, Iss 9, p 1187 (2022)

Predmety: EEG, emotion recognition, deep sparse autoencoder, CNN, LSTM, Science, Astrophysics, QB460-466, Physics, QC1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1099-4300/24/9/1187; https://doaj.org/toc/1099-4300

Prístupová URL adresa: https://doaj.org/article/28b7243e73504ba585372ec00f54babc

Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction

Autori: Luefeng Chen Wanjuan Su Mengtian Zhou a ďalší

Zdroj: Information Sciences. 428:49-61

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dl.acm.org/doi/10.1016/j.ins.2017.10.044
https://www.sciencedirect.com/science/article/pii/S0020025517310496
https://dblp.uni-trier.de/db/journals/isci/isci428.html#ChenZSWSH18
https://doi.org/10.1016/j.ins.2017.10.044

A Deep Learning Approach Based on Sparse Autoencoder with Long Short-Term Memory for Network Intrusion Detection

Autori: Naoshi Nakaya Zolzaya Kherlenchimeg

Zdroj: IEEJ Transactions on Electronics, Information and Systems. 2020, 140(6):592

Deep Sparse Autoencoder Network for Facial Emotion Recognition

Autori: Witold Pedrycz Kaoru Hirota Min Wu a ďalší

Zdroj: Studies in Computational Intelligence ISBN: 9783030615765

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-3-030-61577-2_3.pdf
https://link.springer.com/chapter/10.1007/978-3-030-61577-2_3

基于深度稀疏自编码网络的植物叶片分类.

Alternate Title: Plant leaf classification based on Softmax regression and K* deep sparse autoencoder network.

Autori: 王　雪 陈　炼 肖志勇

Zdroj: Journal of Nanchang University (Natural Science). Dec2019, Vol. 43 Issue 6, p606-610. 5p.

Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition.

Autori: Li, Qi Liu, Yunqing Shang, Yujie a ďalší

Zdroj: Entropy; Sep2022, Vol. 24 Issue 9, pN.PAG-N.PAG, 15p

Predmety: ELECTROENCEPHALOGRAPHY, EMOTION recognition, CONVOLUTIONAL neural networks, BRAIN-computer interfaces, SIGNAL processing

DS2AN: Deep stacked sparse autoencoder for secure and fast authentication in HetNets

Autori: Hemavathi S. Akhila Samreen Zubeda a ďalší

Zdroj: SECURITY AND PRIVACY. 5

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Hybrid Detection System for DDoS Attacks Based on Deep Sparse Autoencoder and Light Gradient Boost Machine.

Autori: Batchu, Raj Kumar Seetha, Hari

Zdroj: Journal of Information & Knowledge Management. Feb2023, Vol. 22 Issue 1, p1-26. 26p.

Predmety: *Feature extraction, *Cyberterrorism, *Machine learning, Denial of service attacks, Impact strength

基于改进生成对抗网络和 Swin Transformer 的样本不均衡轴承故障诊断.

Alternate Title: Bearing fault diagnosis based on improved generative adversarial network and Swin Transformer under imbalanced sample conditions.

Autori: 马良玉 黄日灏 段晓冲 a ďalší

Zdroj: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). Jul2025, Vol. 17 Issue 4, p528-537. 10p.

Predmety: *Transformer models, Convolutional neural networks, Generative adversarial networks, Fault diagnosis, Deep learning

Sensor-Driven Surrogate Modeling and Control of Nonlinear Dynamical Systems Using FAE-CAE-LSTM and Deep Reinforcement Learning

Autori: Kherad, M. Moayyedi, M. K. Fotouhi-Ghazvini, F. a ďalší

Zdroj: Sensors. 25(16)

Predmety: Autoencoders, Control Of Dynamical Systems, Cyber-physical Systems, Deep Reinforcement Learning, Long Short-term Memory, Sensor-driven Modeling, Circular Cylinders, Computer Control Systems, Convolution, Dynamical Systems, Dynamics, Embedded Systems, Flow Control, Fuel Additives, Nonlinear Dynamical Systems, Real Time Control, Robust Control, Auto Encoders, Control Of Dynamical System, Cybe-physical Systems, High-dimensional, Higher-dimensional, Reinforcement Learning Agent, Reinforcement Learnings, Short Term Memory

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-73172
https://doi.org/10.3390/s25165149

DLSIA: Deep Learning for Scientific Image Analysis

Autori: Roberts, Eric J Chavez, Tanny Hexemer, Alexander a ďalší

Zdroj: Journal of Applied Crystallography. 57(2)

Predmety: 3402 Inorganic Chemistry (for-2020), 34 Chemical Sciences (for-2020), 3406 Physical Chemistry (for-2020), 51 Physical Sciences (for-2020), 5104 Condensed Matter Physics (for-2020), Bioengineering (rcdc), Biomedical Imaging (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), deep learning, convolutional neural networks, X-ray scattering, tomography, data compression, X-ray scattering, convolutional neural networks, data compression, deep learning, tomography, 01 Mathematical Sciences (for), 02 Physical Sciences (for), 09 Engineering (for), Inorganic & Nuclear Chemistry (science-metrix), 3402 Inorganic chemistry (for-2020), 3406 Physical chemistry (for-2020), 5104 Condensed matter physics (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/966220w4
https://escholarship.org/content/qt966220w4/qt966220w4.pdf

Deep propensity network using a sparse autoencoder for estimation of treatment effects.

Autori: Ghosh, Shantanu Bian, Jiang Guo, Yi a ďalší

Zdroj: Journal of the American Medical Informatics Association. Jun2021, Vol. 28 Issue 6, p1197-1206. 10p. 2 Diagrams, 2 Charts, 2 Graphs.

Predmety: *Employee training, *Electronic health records, *Computer simulation, *Longitudinal method, Propensity score matching, Treatment effectiveness, Deep learning, Confounding variables, Infant development, Research funding, Probability theory, Logistic regression analysis, Attribution (Social psychology)

Predicting potential microbe–disease associations based on multi-source features and deep learning.

Autori: Wang, Liugen Wang, Yan Xuan, Chenxu a ďalší

Zdroj: Briefings in Bioinformatics. Jul2023, Vol. 24 Issue 4, p1-14. 14p.

Predmety: *CAPITAL costs, DEEP learning, RANDOM forest algorithms, COLORECTAL cancer, TUMOR microenvironment

A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis.

Autori: Mahavar A Patel A

Zdroj: Current topics in medicinal chemistry [Curr Top Med Chem] 2025; Vol. 25 (4), pp. 335-349.

Spôsob vydávania: Journal Article; Review

Informácie o časopise: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 101119673 Publication Model: Print Cited Medium: Internet ISSN: 1873-4294 (Electronic) Linking ISSN: 15680266 NLM ISO Abbreviation: Curr Top Med Chem Subsets: MEDLINE

Výrazy zo slovníka MeSH: Alzheimer Disease*/diagnosis , Deep Learning*, Humans ; Biomarkers/analysis ; Neural Networks, Computer

End-to-end deep SAE-DNN model for predicting Egyptian buffalo calf sex, weight, and daily milk yield.

Autori: Issa, Sali Ali, Montaser Elsayed Wang, Qi a ďalší

Zdroj: Tropical Animal Health & Production. Dec2025, Vol. 57 Issue 9, p1-9. 9p.

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics

Autori: Makkie, Milad Huang, Heng Zhao, Yu a ďalší

Zdroj: Neurocomputing. 325:20-30

Predmety: Data mining, Neural networks, Distributed computing methodologies, Machine learning, Pervasive Mobile Computing, Distribuerade datorsystem

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71190

Latent Space Representational Learning of Deep Features for Acute Lymphoblastic Leukemia Diagnosis.

Autori: Atteia, Ghada Emam¹ geatteiaallah@pnu.edu.sa

Zdroj: Computer Systems Science & Engineering. 2023, Vol. 45 Issue 1, p361-376. 16p.

Predmety: Lymphoblastic leukemia diagnosis, Deep learning, Convolutional neural networks, Support vector machines, Medical screening

Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes.

Autori: Tran, Ba-Hien Shahbaba, Babak Mandt, Stephan a ďalší

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/47m3r5v9
https://escholarship.org/content/qt47m3r5v9/qt47m3r5v9.pdf

Fault diagnosis for wind turbine gearboxes by using deep enhanced fusion network

Autori: Pu, Ziqiang Li, Chuan Zhang, Shaohui a ďalší

Prispievatelia: Pu, Ziqiang Li, Chuan Zhang, Shaohui a ďalší

Predmety: Echo state network (ESN), Fault diagnosis, Feature enhancement, Sparse autoencoder (SAE), Wind turbine gearbox

Popis súboru: application/pdf

Relation: 0018-9456

Dostupnosť: http://hdl.handle.net/10400.1/17074

Deep Sparse Representation-based Classification

Autori: Abavisani, Mahdi Patel, Vishal M.

Témy: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning, 68T45, 62H30, I.5.3, I.2.10, text

URL: http://arxiv.org/abs/1904.11093