Výsledky vyhledávání - Denoising sequence autoencoder*

Conditioned fully convolutional denoising autoencoder for multi-target NILM

Autoři: García, Diego Pérez, Daniel Papapetrou, Panagiotis a další

Zdroj: Neural Computing & Applications. 37(17):10491-10505

Témata: Non-intrusive Load Monitoring, Energy Efficiency, Deep Convolutional Neural Networks, Interpretability, Multi-target NILM models, data- och systemvetenskap, Computer and Systems Sciences

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-237967
https://doi.org/10.1007/s00521-024-10552-0

Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information.

Autoři: Zhou, Senyu Luo, Jian Tang, Mei a další

Zdroj: Frontiers in Pharmacology; 2025, p1-11, 11p

Témata: AUTOENCODERS, AMINO acid sequence, CARDIOVASCULAR diseases, DRUG target, PROTEOMICS

A deep learning adversarial autoencoder with dynamic batching displays high performance in denoising and ordering scRNA-seq data

Autoři: Kyung Dae Ko Vittorio Sartorelli

Zdroj: iScience, Vol 27, Iss 3, Pp 109027- (2024)

Témata: Natural sciences, Biological sciences, Molecular biology, Bioinformatics, Sequence analysis, Omics, Science

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004224002487; https://doaj.org/toc/2589-0042

Přístupová URL adresa: https://doaj.org/article/1bbdb0d37484453488b337a8873b35c4

Accurate estimation of state of charge and state of health of electric vehicle power batteries based on dynamic channel pruning informer-stacked denoising autoencoder model.

Autoři: Peng, Ziran Wang, Shunhao Zhang, Shengchun a další

Zdroj: Electrical Engineering. Jan2026, Vol. 108 Issue 1, p1-19. 19p.

Financial Volatility Prediction Model Based On Denoising Autoencoder and Unstable Attention Mechanism.

Autoři: Fan, Yijiao¹ (AUTHOR) yijiaofanedit@outlook.com

Zdroj: Procedia Computer Science. 2025, Vol. 261, p45-52. 8p.

Témata: Information technology, Noise control, Economies of scale, Investors, Autoencoder, Bees algorithm, Feature selection

DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection

Autoři: Xigang Zhao Peng Liu Saïd Mahmoudi a další

Zdroj: Alexandria Engineering Journal, Vol 108, Iss , Pp 436-444 (2024)

Témata: Anomaly detection, Normalizing flow, Time series, Autoencoder, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016824007348; https://doaj.org/toc/1110-0168

Přístupová URL adresa: https://doaj.org/article/e210902e3c384e91a1fcd8c59dbacd0b

Signal Separation Method for Radiation Sources Based on a Parallel Denoising Autoencoder.

Autoři: Tang, Xusheng Wei, Mingfeng

Zdroj: Electronics (2079-9292); Mar2024, Vol. 13 Issue 6, p1029, 13p

Témata: RADIATION sources, SIGNAL separation, ELECTRONIC countermeasures, PROBLEM solving, NOISE control

Clustering-based temporal deep neural network denoising method for event-based sensors.

Autoři: Li, Jianing Xu, Jiangtao Gao, Jiandong

Zdroj: Optoelectronics Letters; Jul2025, Vol. 21 Issue 7, p441-448, 8p

Preprocessing method for shield operational parameters adaptable to geological survey data characteristic for predicting disc cutter wear.

Autoři: Mo, Deyun Bai, Liping Liao, Wenjiang a další

Zdroj: Applied Intelligence; Oct2025, Vol. 55 Issue 15, p1-20, 20p

Témata: SIGNAL denoising, DATA compression, GEOLOGICAL surveys, STRATIGRAPHIC geology, ARTIFICIAL intelligence, DATA scrubbing

Generative AI Models for the Protein Scaffold Filling Problem.

Autoři: Qingge, Letu Badal, Kushal Annan, Richard a další

Zdroj: Journal of Computational Biology. Feb2025, Vol. 32 Issue 2, p127-142. 16p.

Témata: *GENERATIVE artificial intelligence, *AMINO acid sequence, *SCAFFOLD proteins, *DRUG discovery, *AUTOENCODERS, *TANDEM mass spectrometry

Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences.

Autoři: García-González, Jorge Ortiz-de-Lazcano-Lobato, Juan M. Luque-Baena, Rafael M. a další

Zdroj: Pattern Recognition Letters. Jul2019, Vol. 125, p481-487. 7p.

Témata: *GAUSSIAN distribution, *FEATURE extraction

Enhanced Malware Classification: A Hybrid Model Utilizing Denoising Autoencoder and CNN based on visualization method.

Autoři: Harika, Thippireddy Pradeepini, Gera

Zdroj: Journal of Cybersecurity & Information Management; 2025, Vol. 16 Issue 1, p243-251, 9p

Témata: CONVOLUTIONAL neural networks, MARKETING software, DEEP learning, AUTOENCODERS, BINARY codes

Deinterleaving of Pulse Streams With Denoising Autoencoders.

Autoři: Li, Xueqiong Liu, Zhangmeng Huang, Zhitao

Zdroj: IEEE Transactions on Aerospace & Electronic Systems; Dec2020, Vol. 56 Issue 6, p4767-4778, 12p

Témata: RIVERS, RADAR, NOISE control, IMAGE denoising, TASK analysis

DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection.

Autoři: Zhao, Xigang Liu, Peng Mahmoudi, Saïd a další

Zdroj: Alexandria Engineering Journal. Dec2024, Vol. 108, p436-444. 9p.

Témata: Machine learning, Infrastructure (Economics), Time series analysis, Water purification, Space exploration

Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network: Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network: Y. Zhang et al.

Autoři: Zhang, Yan Cao, Jie Zhao, Xiaoqiang a další

Zdroj: Applied Intelligence; Apr2025, Vol. 55 Issue 6, p1-20, 20p

An efficient PointNet-based multifaceted autoencoder (PMAE) for denoising rail track fastener point clouds.

Autoři: Zaheer, Qasim Wang, Jin Muhammad Ahmed Hassan Shah, S. a další

Zdroj: Journal of Civil Structural Health Monitoring; Dec2025, Vol. 15 Issue 8, p3995-4015, 21p

Adversarial Defense for Medical Images.

Autoři: Tsai, Min-Jen Lee, Ya-Chu Lien, Hsin-Ying a další

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 22, p4384, 46p

Témata: DEEP learning, AUTOENCODERS, ARTIFICIAL intelligence, MEDICAL photography, SIGNAL denoising, IMAGE quality in imaging systems

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

A Deep Learning Model to Predict the ncRNA-Protein Interactions Based on Sequences Information Only.

Autoři: Sewailem, Maha FM Arif, Muhammad Alam, Tanvir

Zdroj: Bioinformatics & Biology Insights. 11/10/2025, Vol. 19, p1-12. 12p.

Deep generative model of RNAs based on variational autoencoder with context-free grammar Open Access.

Autoři: Terai, Goro Asai, Kiyoshi

Zdroj: Bioinformatics; Aug2025, Vol. 41 Issue 8, p1-8, 8p

Témata: RNA, PROBABILISTIC generative models, BIOENGINEERING, GENERATIVE grammar, MOLECULAR structure, NUCLEOTIDE sequence, LATENT variables