Search Results - hierarchical denoising autoencoder

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

Authors: Yunsong Li Yanzi Shi Keyan Wang et al.

Contributors: Yunsong Li Yanzi Shi Keyan Wang et al.

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

Subject Terms: 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

File Description: ELETTRONICO

Access URL: https://pubmed.ncbi.nlm.nih.gov/35038293

Hyperspectral Target Detection with Hierarchical Denoising Autoencoder and Subspace Projection

Authors: Jiaojiao Li Keyan Wang Yunsong Li et al.

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

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

Access URL: 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

Authors: Yao Li Hongqiang Lyu Kexin Li et al.

Source: Briefings in Bioinformatics. 26

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

Authors: Hao Yan Liangliang Shang Wan Chen et al.

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

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

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

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

Authors: Arghya Pal Jyoti D. Pawar

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

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

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

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

Authors: Huihui Gao Chen Wei Wenjie Huang et al.

Source: Chemical Engineering Science. 253:117556

Subject Terms: 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.

Authors: Yao, Xiukun Wang, Tong Yang, Qi et al.

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

Subject Terms: *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

Authors: Jianbo Yu Xuefeng Yan

Source: Applied Soft Computing. 95:106525

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: 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.

Authors: Li, Yunsong Shi, Yanzi Wang, Keyan et al.

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

Subject Terms: 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.

Authors: Yu, Jianbo Yan, Xuefeng

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

Subject Terms: 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.

Authors: Li, Yao Lyu, Hongqiang Li, Kexin et al.

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

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

Enhanced Noise Reduction in Photoplethysmography Signals Using a Denoising Autoencoder.

Authors: Shin-Chi Lai Yao-Feng Liang Yi-Chang Zhu et al.

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

Subject Terms: 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.

Authors: Yan, Hao Shang, Liangliang Chen, Wan et al.

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

Subject Terms: 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

Authors: Ke Jiang Zhaohui Jiang Yongfang Xie et al.

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

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

Access URL: https://ieeexplore.ieee.org/document/9444193

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

Authors: Yang, Songxi Peng, Bo Sui, Tang et al.

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

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

Speech Enhancement Autoencoder with Hierarchical Latent Structure

Authors: Koen Oostermeijer Chin-Hui Lee Qing Wang et al.

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: 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.

Authors: Lin, Li Zhao, Shuang Tang, Xiaowen et al.

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

Subject Terms: 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.

Authors: Guo, Xiaoping Guo, Qingyu Li, Yuan

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

Hierarchical Autoencoder for Collaborative Filtering

Authors: Angshul Majumdar Shubham Maheshwari

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

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

Access URL: 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

Authors: ZHANG Shi-peng, LI Yong-zhong

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/34693037410045db8e0f6c1f76b1b870