Výsledky vyhledávání - hierarchical denoising autoencoder~

Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery

Autoři: Yunsong Li Yanzi Shi Keyan Wang a další

Přispěvatelé: Yunsong Li Yanzi Shi Keyan Wang a další

Zdroj: IEEE Transactions on Image Processing. 31:1418-1432

Témata: Mixture model, Hyperspectral imaging, Object detection, spatial-spectral unification, 0211 other engineering and technologies, Deep learning, Detector, hyperspectral target detection, 02 engineering and technology, hierarchical denoising autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Interference, Noise reduction, Unconstrained linear mixture model

Popis souboru: ELETTRONICO

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35038293

Hyperspectral Target Detection with Hierarchical Denoising Autoencoder and Subspace Projection

Autoři: Jiaojiao Li Keyan Wang Yunsong Li a další

Zdroj: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. :4404-4407

Témata: 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/igarss/igarss2021.html#ShiWLL21
https://ieeexplore.ieee.org/abstract/document/9553151

IMATAC imputes single-cell ATAC-seq data by deep hierarchical network with denoising autoencoder

Autoři: Yao Li Hongqiang Lyu Kexin Li a další

Zdroj: Briefings in Bioinformatics. 26

An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis

Autoři: Hao Yan Liangliang Shang Wan Chen a další

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-26 (2025)

Témata: Extreme learning machine, Rolling bearings, Stacked denoising autoencoders, Science, Medicine, Aquila optimizer algorithm, Fault diagnosis, Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40199988
https://doaj.org/article/bda5bbb272354164a8ee90e182900b60

Recognition of online handwritten Bangla characters using hierarchical system with Denoising Autoencoders

Autoři: Arghya Pal Jyoti D. Pawar

Zdroj: 2015 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC). :0047-0051

Témata: 0301 basic medicine, 03 medical and health sciences, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://irgu.unigoa.ac.in/drs/handle/unigoa/5964

Multimode process monitoring based on hierarchical mode identification and stacked denoising autoencoder

Autoři: Huihui Gao Chen Wei Wenjie Huang a další

Zdroj: Chemical Engineering Science. 253:117556

Témata: 0209 industrial biotechnology, 02 engineering and technology, 0204 chemical engineering

Multi-Omics Data Integration for Improved Cancer Subtyping via Denoising Autoencoder-Based Multi-Kernel Learning.

Autoři: Yao, Xiukun Wang, Tong Yang, Qi a další

Zdroj: Genes. Nov2025, Vol. 16 Issue 11, p1246. 24p.

Témata: *MULTIOMICS, *DATA integration, *AUTOENCODERS, *ENSEMBLE learning, *BIOMARKERS, *INDIVIDUALIZED medicine, *SURVIVAL analysis (Biometry), *TUMOR classification

Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information

Autoři: Jianbo Yu Xuefeng Yan

Zdroj: Applied Soft Computing. 95:106525

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/asc/asc95.html#YuY20
https://doi.org/10.1016/j.asoc.2020.106525
https://www.sciencedirect.com/science/article/pii/S1568494620304646

Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery.

Autoři: Li, Yunsong Shi, Yanzi Wang, Keyan a další

Zdroj: IEEE Transactions on Image Processing; 2022, Vol. 31, p1418-1432, 15p

Témata: DEEP learning, OBJECT recognition (Computer vision), DATA distribution, NOISE control, DETECTORS

Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information.

Autoři: Yu, Jianbo Yan, Xuefeng

Zdroj: Applied Soft Computing. Oct2020, Vol. 95, pN.PAG-N.PAG. 1p.

Témata: Hierarchical clustering (Cluster analysis), Image denoising, Iron & steel plates, Data analysis, Prior learning

IMATAC imputes single-cell ATAC-seq data by deep hierarchical network with denoising autoencoder Open Access.

Autoři: Li, Yao Lyu, Hongqiang Li, Kexin a další

Zdroj: Briefings in Bioinformatics; Sep2025, Vol. 26 Issue 5, p1-12, 12p

Témata: CHROMATIN, DEEP learning, ARTIFICIAL neural networks, INTERPOLATION, BIOINFORMATICS, COMPUTATIONAL complexity, CYTOLOGICAL techniques, DATA quality

Enhanced Noise Reduction in Photoplethysmography Signals Using a Denoising Autoencoder.

Autoři: Shin-Chi Lai Yao-Feng Liang Yi-Chang Zhu a další

Zdroj: Sensors & Materials; 2025, Vol. 37 Issue 11, Part 3, p5123-5139, 17p

Témata: PHOTOPLETHYSMOGRAPHY, CONVOLUTIONAL neural networks, NOISE control, SIGNAL processing, SIGNAL denoising, REAL-time computing, MEDICAL technology, WEARABLE technology

An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis.

Autoři: Yan, Hao Shang, Liangliang Chen, Wan a další

Zdroj: Scientific Reports; 4/8/2025, Vol. 15 Issue 1, p1-26, 26p

Témata: EXTREME learning machines, MACHINE learning, ARTIFICIAL intelligence, FAULT diagnosis, AUTOENCODERS

Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders

Autoři: Ke Jiang Zhaohui Jiang Yongfang Xie a další

Zdroj: IEEE Transactions on Industrial Informatics. 18:1854-1863

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9444193

Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework.

Autoři: Yang, Songxi Peng, Bo Sui, Tang a další

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2717, 28p

Témata: FEATURE extraction, AUTOENCODERS, STRUCTURAL health monitoring, URBAN research, EMERGENCY management

Speech Enhancement Autoencoder with Hierarchical Latent Structure

Autoři: Koen Oostermeijer Chin-Hui Lee Qing Wang a další

Zdroj: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :671-675

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2021.html#OostermeijerD0L21
https://ieeexplore.ieee.org/document/9414695

Intelligent Detection of Railway Axles Fatigue Crack Using Acoustic Emission-Stacked Denoising Autoencoders.

Autoři: Lin, Li Zhao, Shuang Tang, Xiaowen a další

Zdroj: Journal of Nondestructive Evaluation; Dec2025, Vol. 44 Issue 4, p1-22, 22p

Témata: FATIGUE cracks, ACOUSTIC emission, DEEP learning, NONDESTRUCTIVE testing, DETECTION algorithms, FEATURE extraction, AXLES

Semi-supervised denoising autoencoder with multiple consistency regularization for process fault classification.

Autoři: Guo, Xiaoping Guo, Qingyu Li, Yuan

Zdroj: Engineering Research Express; Sep2025, Vol. 7 Issue 3, p1-19, 19p

Hierarchical Autoencoder for Collaborative Filtering

Autoři: Angshul Majumdar Shubham Maheshwari

Zdroj: 2018 International Joint Conference on Neural Networks (IJCNN). :1-7

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2018.html#MaheshwariM18
https://ieeexplore.ieee.org/document/8489288

Intrusion Detection Method Based on Denoising Autoencoder and Three-way Decisions

Autoři: ZHANG Shi-peng, LI Yong-zhong

Zdroj: Jisuanji kexue, Vol 48, Iss 9, Pp 345-351 (2021)

Témata: intrusion detection, autoencoder, three-way decisions, feature extraction, network security, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-345.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/34693037410045db8e0f6c1f76b1b870