Výsledky vyhledávání - "Sparse Autoencoder"

Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction

Autoři: Nor Irwin Basir Kathlyn Kaiyun Tan Danny Hartanto Djarum a další

Zdroj: International Islamic University Malaysia Engineering Journal, Vol 26, Iss 1 (2025)

Témata: Air pollution index, Shallow sparse autoencoder, Deep sparse autoencoder, Prediction, TA1-2040, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/cf7a7313166044ac9bfa585353e7e928

ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations prediction

Autoři: Xinqing Jiang Xiaojun Chen Lifeng Xu a další

Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-18 (2025)

Témata: Epigenomics, snoRNA-disease associations (SDAs), Ensemble learning framework, Sparse autoencoder, Dynamically sampling, Artificial intelligence (AI), Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/4a1813752009454491f25e2b31390236

A COMPARATIVE STUDY OF DIVERSE AUTOENCODER MODELS IN LOCAL GEAR PITTING FAULT DIAGNOSIS

Autoři: Mustafa Yurtsever Rafet Can Ümütlü Hasan Öztürk

Zdroj: Volume: 13, Issue: 159-73
Konya Mühendislik Bilimleri Dergisi
Konya Journal of Engineering Sciences

Témata: Dinamikler, Titreşim ve Titreşim Kontrolü, Dynamics, Vibration and Vibration Control, Contractive Autoencoder, Sparse Autoencoder, Variational Autoencoder, Local Gear Pitting, Fault Diagnosis

Popis souboru: application/pdf

Přístupová URL adresa: https://avesis.deu.edu.tr/publication/details/9a6ec6bd-8c5c-488c-b870-eaf9c1b53c17/oai
https://dergipark.org.tr/tr/pub/konjes/issue/90599/1571234

Non-Line-of-Sight Multipath Classification Method for BDS Using Convolutional Sparse Autoencoder with LSTM

Autoři: Qin, Yahang Li, Zhenni Xie, Shengli a další

Zdroj: Tsinghua Science and Technology. 30:68-86

Témata: Satellites, Multipath classification, BeiDou Navigation Satellite System (BDS), Solid modeling, Three-dimensional displays, Long short-term memory (LSTM), Convolutional sparse autoencoder, Interference, Urban areas, Convolution, Long short term memory

Channel Estimation and Pilot Design for Uplink Sparse Code Multiple Access System Based on Complex-Valued Sparse Autoencoder

Autoři: Quan Yuan Dezhi Li Zhenyong Wang a další

Zdroj: IEEE Access, Vol 13, Pp 123559-123569 (2025)

Témata: Sparse code multiple access, Internet of Things, channel estimation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, massive connection, sparse pilot structure, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, complex-valued sparse autoencoder, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/08667100.pdf
https://doaj.org/article/fbe5140ccf6b4575b898c315f16c8e7b
https://ieeexplore.ieee.org/document/8667100/

Drive-by damage detection and localization exploiting continuous wavelet transform and multiple sparse autoencoders

Autoři: Lorenzo Bernardini Francesco Morgan Bono Andrea Collina

Zdroj: Railway Engineering Science, Vol 33, Iss 4, Pp 721-745 (2025)

Témata: Drive-by, Sparse autoencoder, Steel truss railway bridge, Continuous wavelet transform, Damage detection, Damage localization, Railroad engineering and operation, TF1-1620

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2662-4745; https://doaj.org/toc/2662-4753

Přístupová URL adresa: https://doaj.org/article/36553b70af354470bfab169610f35260

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features

Autoři: Fei Xiang Mingyue Liu Wenna Chen a další

Zdroj: Frontiers in Neuroscience, Vol 19 (2025)

Témata: seizure detection, convolutional neural network, gated recurrent unit, sparse autoencoder, borderline synthetic minority oversampling technique, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2025.1698960/full; https://doaj.org/toc/1662-453X

Přístupová URL adresa: https://doaj.org/article/2a3723ccee1d49029288ff3b2996bd8f

BANSMDA: a computational model for predicting potential microbe-disease associations based on bilinear attention networks and sparse autoencoders

Autoři: Xianzhi Liu Mingmin Liang Ge Yu a další

Zdroj: Frontiers in Genetics, Vol 16 (2025)

Témata: computational model, microbe-disease associations, bilinear attention networks, sparse autoencoder, prediction, Genetics, QH426-470

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fgene.2025.1618472/full; https://doaj.org/toc/1664-8021

Přístupová URL adresa: https://doaj.org/article/92ea17dc7d6e44cba1b50094228db292

A neural convolutional network intrusion detection model based on autoencoder dimension reduction

Autoři: SUN Jing DING Jiawei FENG Guanghui

Zdroj: Dianxin kexue, Vol 41, Pp 129-138 (2025)

Témata: network attack, intrusion detection model, stacking denoising sparse autoencoder, convolutional attention mechanism, residual network, Telecommunication, TK5101-6720, Technology

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1000-0801

Přístupová URL adresa: https://doaj.org/article/342a07987715452a83672954a94cd12f

Hybrid Greylag Goose deep learning with layered sparse network for women nutrition recommendation during menstrual cycle

Autoři: E. Logapriya Surendran Rajendran Mohammad Zakariah

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Témata: Menstrual cycle, Pre-processing, Layered sparse autoencoder, Deep learning, Greylag Goose optimization, Bidirectional gated recurrent unit, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/1fdc03bab0db474c8ebe8a2b866bf2e9

A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders

Autoři: Jorge Magalhães Tomás Jorge Rúben Silva a další

Přispěvatelé: Jorge Magalhães Tomás Jorge Rúben Silva a další

Zdroj: Railway Engineering Science, Vol 32, Iss 4, Pp 421-443 (2024)

Témata: Railroad engineering and operation, Wayside condition monitoring, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, TF1-1620, Damage identification, Passenger trains, OOR wheel damage, Sparse autoencoder, 0201 civil engineering

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/3756a7b582fe4bbca9b9a96603091c57
https://hdl.handle.net/10216/166705

A Comparative Study of Lightweight, Sparse Autoencoder-Based Classifiers for Edge Network Devices: An Efficiency Analysis of Feed-Forward and Deep Neural Networks

Autoři: Mi Young Jo Hyun Jung Kim

Zdroj: Sensors, Vol 25, Iss 20, p 6439 (2025)

Témata: edge computing, sparse autoencoder, lightweight classifier, network anomaly detection, feed-forward neural network, deep neural network, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/20/6439; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/d794bfeaecbd4869b0bd656723b1260e

Research on Deep Adaptive Clustering Method Based on Stacked Sparse Autoencoders for Concrete Truck Mixers Driving Conditions

Autoři: Ying Huang Fachao Jiang Haiming Xie

Zdroj: World Electric Vehicle Journal, Vol 16, Iss 10, p 581 (2025)

Témata: concrete truck mixers, stacked sparse autoencoder, deep features extraction, adaptive clustering algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2032-6653/16/10/581; https://doaj.org/toc/2032-6653

Přístupová URL adresa: https://doaj.org/article/438be03da83f4e4b8087e7267170ff5e

XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition

Autoři: M. Mohana P. Subashini George Ghinea

Zdroj: Signal, Image and Video Processing. 19

Témata: autoencoder, semi-supervised learning, convolutional sparse autoencoder, facial expression recognition, feature representation, unsupervised learning

Přístupová URL adresa: https://bura.brunel.ac.uk/handle/2438/31141

Research on Dung Beetle Optimization Based Stacked Sparse Autoencoder for Network Situation Element Extraction

Autoři: Yongchao Yang Pan Zhao

Zdroj: IEEE Access, Vol 12, Pp 24014-24026 (2024)

Témata: Dung beetle optimization, network security, stacked sparse autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, network situation element extraction, TK1-9971

Přístupová URL adresa: https://doaj.org/article/1673678679c54e25ad55d197aad24b5e

KSVM-Based Fast Intra Mode Prediction in HEVC Using Statistical Features and Sparse Autoencoder

Autoři: Preethi S. Nair Madhu S. Nair

Zdroj: IEEE Access, Vol 12, Pp 48846-48852 (2024)

Témata: HEVC, sparse autoencoder, RMD, SVM, 0202 electrical engineering, electronic engineering, information engineering, intra mode prediction, Hu moments, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Přístupová URL adresa: https://doaj.org/article/c247b794da0d4044aa92ee40625e8749

Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis

Autoři: N. Bharanidharan S. R. Sannasi Chakravarthy Vinoth Kumar Venkatesan a další

Zdroj: IEEE Access, Vol 12, Pp 39285-39299 (2024)

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, sparse autoencoder, remora optimization, deep learning, Electrical engineering. Electronics. Nuclear engineering, entropy, Cancer, dimensionality reduction, TK1-9971, 3. Good health

Přístupová URL adresa: https://doaj.org/article/7ab98ced2df543f4a7786cd88221ce0e

FastColitisDetector-XAI: An efficient AI model utilizing sparse Autoencoder with explainable AI for ulcerative colitis diagnosis

Autoři: Sumedh Vithalrao Dhole Sangeeta R. Chougule

Zdroj: MethodsX, Vol 14, Iss , Pp 103356- (2025)

Témata: FastColitisDetector-XAI: An Efficient AI Model Utilizing Sparse Autoencoder with Explainable AI for Ulcerative Colitis Diagnosis., Science

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S221501612500202X; https://doaj.org/toc/2215-0161

Přístupová URL adresa: https://doaj.org/article/5e584edbc3e74c4e838e62d5a2af2cf3

A Multi-stage Scenario Tree Generation Method for Wind-Solar Load Based on Complex Feature Extraction and Sinkhorn Distance

Autoři: Rui WANG Zhixin FU Jian WANG a další

Zdroj: Zhongguo dianli, Vol 57, Iss 12, Pp 30-40 (2024)

Témata: scenario tree, stacked sparse autoencoder, improved affinity propagation algorithm, sinkhorn distance, load uncertainty, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202402033; https://doaj.org/toc/1004-9649

Přístupová URL adresa: https://doaj.org/article/f121a8d42ba74079acc492b15a2d1369

An Evaluation of Mine Water Inrush Based on Data Expansion and Machine Learning

Autoři: Ye Zhang Shoufeng Tang

Zdroj: Applied Sciences ; Volume 15 ; Issue 8 ; Pages: 4229

Témata: mine water inrush, feature extraction, natural neighbor theory, improved SMOTE, mutual information dropout, sparse autoencoder

Geografické téma: agris

Popis souboru: application/pdf

Relation: https://dx.doi.org/10.3390/app15084229

Dostupnost: https://doi.org/10.3390/app15084229