Výsledky vyhledávání - "Denoise Autoencoder"

A Fusion Network With Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction

Autoři: Wujing Cao Changyu Li Lijun Yang a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. 29:68-80

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38512746

Fully Convolution Based Denoise Autoencoder AI Accelerator for ECG Arrhythmia Classification

Autoři: Yu-Chun Wu Bo-Yu Jhang Shuenn-Yuh Lee a další

Zdroj: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). :1-5

AGDAE: Attention-Gated Denoise Autoencoder for Detecting Imperceptible Adversarial Examples

Autoři: Shuai Gao Mengjiang Wu Wanli Lv

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789819624676

Performance Analysis of Distinctive Activation Functions in Stacked Denoise Autoencoder for Noise Removal in Vehicle Traffic Data

Autoři: S. Narmadha B. Praveena

Zdroj: Information Systems Engineering and Management ISBN: 9783031667411

An Improved Stacked Denoise Autoencoder with Elu Activation Function for Traffic Data Imputation

Autoři: S. Narmadha Dr V. Vijayakumar

Zdroj: International Journal of Innovative Technology and Exploring Engineering. 8:3951-3954

Ensembling of Stacked Denoise Autoencoder for Phishing Attack Detection

Autoři: K. Sumathi V. Sujatha

Zdroj: International Journal of Computer Sciences and Engineering. 7:115-121

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

An Effective Imputation Model for Vehicle Traffic Data Using Stacked Denoise Autoencoder

Autoři: V. Vijayakumar S. Narmadha

Zdroj: Advances in Intelligent Systems and Computing ISBN: 9783030372170

Témata: 11. Sustainability

Přístupová URL adresa: https://rd.springer.com/chapter/10.1007/978-3-030-37218-7_9
https://link.springer.com/chapter/10.1007/978-3-030-37218-7_9

EEG Recognition Based on Parallel Stacked Denoise Autoencoder and Convolutional Neural Network

Autoři: Qing Liu Desong Kong Xianlun Tang a další

Zdroj: Advances in Intelligent Systems and Computing ISBN: 9783030633189

Přístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-030-63319-6_65

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images

Autoři: Li Ma Xiaoquan Yang Chen Xing

Zdroj: Journal of Sensors. 2016:1-10

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis souboru: text/xhtml

Přístupová URL adresa: http://downloads.hindawi.com/journals/js/2016/3632943.pdf
https://paperity.org/p/129551683/stacked-denoise-autoencoder-based-feature-extraction-and-classification-for-hyperspectral
https://downloads.hindawi.com/journals/js/2016/3632943.pdf
https://doaj.org/article/3f9fefcc01f043e6869e6aad8989513f
https://www.hindawi.com/journals/js/2016/3632943/
http://downloads.hindawi.com/journals/js/2016/3632943.pdf
https://core.ac.uk/display/90444476

Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition

Autoři: Kuangrong Hao Shicao Luo Yongsheng Ding

Zdroj: 2015 Chinese Automation Congress (CAC). :565-570

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

Přístupová URL adresa: https://ieeexplore.ieee.org/document/7382564/

Machine Learning-Enhanced Laser Absorption Spectroscopy for Harsh-Environment Combustion Diagnosis

Autoři: Yuan Chen Jiangnan Xia Rui Zhang a další

Zdroj: Chen, Y, Xia, J, Zhang, R, Xia, Y, Zhou, M, Fu, Y, Ahmed, I, Armstrong, I, Upadhyay, A, Lengden, M, Johnstone, W, Wright, P, Ozanyan, K, Pourkashanian, M, McCann, H & Liu, C 2025, 'Machine Learning-Enhanced Laser Absorption Spectroscopy for Harsh-Environment Combustion Diagnosis', IEEE Transactions on Instrumentation and Measurement, vol. 74, 7011110. https://doi.org/10.1109/TIM.2025.3586367

Témata: denoise autoencoder, gas turbine, long short-term memory (LSTM), Combustion diagnostics, laser absorption spectroscopy (LAS)

Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer

Autoři: Qian Liu Pingzhao Hu

Zdroj: Biomarker Research, Vol 11, Iss 1, Pp 1-11 (2023)

Témata: Radiogenomics, Deep learning, Breast cancer, Medical imaging, Denoise autoencoder, Therapeutics. Pharmacology, RM1-950

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2050-7771

Přístupová URL adresa: https://doaj.org/article/ecd45ba081664f84a46212d74f74eb61

Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition.

Autoři: Shicao Luo Yongsheng Ding Kuangrong Hao

Zdroj: 2015 Chinese Automation Congress (CAC); 2015, p565-570, 6p

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images.

Autoři: Xing, Chen Ma, Li Yang, Xiaoquan

Zdroj: Journal of Sensors; 11/30/2015, p1-10, 10p

Témata: ENCODING, FEATURE extraction, HYPERSPECTRAL imaging systems, DEEP learning, LOGISTIC regression analysis, SUPPORT vector machines

Denoise autoencoder and tensor decomposition for the robustness against adversarial attacks ; 잡음제거 오토인코더와 텐서 분해를 통해 적대적 공격에 대응한 방어 모델에 관한 연구

Autoři: Cho, Seungju Kim, Daeyoung 김대영 a další

Přispěvatelé: Cho, Seungju Kim, Daeyoung 김대영 a další

Témata: Computer Vision▼aAdversarial attack, 컴퓨터 비전▼a적대적 공격

Relation: 925163; http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=925163&flag=dissertation; http://hdl.handle.net/10203/285002; 325007; 1524

Dostupnost: http://hdl.handle.net/10203/285002
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=925163&flag=dissertation

Do We Really Need Imputation in AutoML Predictive Modeling?

Autoři: Paterakis, George Fafalios, Stefanos Charonyktakis, Paulos a další

Zdroj: ACM Transactions on Knowledge Discovery from Data; Jul2024, Vol. 18 Issue 6, p1-64, 64p

Témata: MISSING data (Statistics), MULTIPLE imputation (Statistics), PREDICTION models, FEATURE selection, PEDOMETERS, ALGORITHMS

DNAE-GAN: Noise-free acoustic signal generator by integrating autoencoder and generative adversarial network.

Autoři: Kuo, Ping-Huan Lin, Ssu-Ting Hu, Jun

Zdroj: International Journal of Distributed Sensor Networks; May2020, Vol. 16 Issue 5, p1-13, 13p

Témata: SIGNAL generators, ACOUSTIC generators, LINEAR predictive coding, LANGUAGE ability, DEEP learning, ARTIFICIAL intelligence, VIDEO coding

Deep learning-based DOA estimation for hybrid massive MIMO receive array with overlapped subarrays.

Autoři: Li, Yifan Shi, Baihua Shu, Feng a další

Zdroj: EURASIP Journal on Advances in Signal Processing; 10/30/2023, Vol. 2023 Issue 1, p1-14, 14p

Témata: DEEP learning, ANTENNA arrays, APPROXIMATION error, COVARIANCE matrices, SIGNAL-to-noise ratio, ANTENNAS (Electronics)

基於深度學習網路之農產品期貨價格預測模型 ; Agricultural Futures Price Prediction Model based on Deep Learning Network

Autoři: 陳建瑋 Chen, Jian-Wei 方瓊瑤 a další

Přispěvatelé: 陳建瑋 Chen, Jian-Wei 方瓊瑤 a další

Témata: 短期價格預測, 類神經網絡, 時間序列分析, 降噪自編碼器, 集成學習, 黃豆期貨, 農產品期貨, short-term price forecasting, neural network, time series analysis, denoise autoencoder, ensemble learning, soybean futures, agricultural futures

Relation: G060647044S; http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/106523

Dostupnost: http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/106523
https://hdl.handle.net/20.500.12235/106523
http://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22G060647044S%22.&%22.id.&

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation

Autoři: Cho, Seungju Jun, Tae Joon Oh, Byungsoo a další

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1908.05195