Výsledky vyhľadávania - sparse denotes autoencoder

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

Autori: Jiang, Xinqing Chen, Xiaojun Xu, Lifeng a ďalší

Zdroj: BMC Bioinformatics; 10/31/2025, Vol. 26 Issue 1, p1-18, 18p

Predmety: EPIGENOMICS, NON-coding RNA, GENE expression, ARTIFICIAL intelligence, ENSEMBLE learning, AUTOENCODERS, DISEASE complications

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

Autori: Jo, Mi Young Kim, Hyun Jung

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6439, 22p

Predmety: EDGE computing, AUTOENCODERS, RESEARCH evaluation, ANOMALY detection (Computer security), FEEDFORWARD neural networks, ARTIFICIAL neural networks

Social Media Platform Based Evaluation of Teaching Style on Online Education System using Heuristic Search with Stacked Sparse Autoencoder Model.

Autori: Fouda, Walaa Mirzaliev, Sanjar Abokhoza, Reneh

Zdroj: Journal of Intelligent Systems & Internet of Things; 2025, Vol. 14 Issue 2, p115-126, 12p

Predmety: SOCIAL media in education, VIRTUAL classrooms, ONLINE education, OPTIMIZATION algorithms, TEACHING methods

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

Autori: Liu, Xianzhi Liang, Mingmin Yu, Ge a ďalší

Zdroj: Frontiers in Genetics; 2025, p1-13, 13p

Predmety: PUBLIC health, AUTOENCODERS, DRUG development, ECOSYSTEM health, HOST-parasite relationships, DIAGNOSIS, MACHINE learning

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

Autori: Bernardini, Lorenzo Bono, Francesco Morgan Collina, Andrea

Zdroj: Railway Engineering Science; Dec2025, Vol. 33 Issue 4, p721-745, 25p

Predmety: STRUCTURAL health monitoring, TRUSS bridges, ARTIFICIAL neural networks, WAVELET transforms

A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction.

Autori: Abdussamad Daud, Hanita Sokkalingam, Rajalingam a ďalší

Zdroj: Scientific Reports; 10/21/2025, Vol. 15 Issue 1, p1-22, 22p

Predmety: TYPE 2 diabetes, FEATURE selection, FORECASTING, COMPUTER performance, ARTIFICIAL neural networks, MEDICAL care, DEEP learning

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

Autori: Huang, Ying Jiang, Fachao Xie, Haiming

Zdroj: World Electric Vehicle Journal; Oct2025, Vol. 16 Issue 10, p581, 18p

Predmety: CONCRETE mixers, MOTOR vehicle driving, CLUSTERING algorithms, ARTIFICIAL neural networks, FEATURE extraction, K-means clustering, DIMENSIONAL reduction algorithms

Autoencoder-like Sparse Non-Negative Matrix Factorization with Structure Relationship Preservation.

Autori: Zhong, Ling Gao, Haiyan

Zdroj: Entropy; Aug2025, Vol. 27 Issue 8, p875, 27p

Predmety: AUTOENCODERS, CLUSTERING algorithms, STATISTICAL correlation, SCIENTIFIC computing, MATRIX decomposition, DATA mining

Drive-by damage detection methodology for high-speed railway bridges using sparse autoencoders.

Autori: de Souza, Edson Florentino Bragança, Cássio Ribeiro, Diogo a ďalší

Zdroj: Railway Engineering Science; Dec2025, Vol. 33 Issue 4, p614-641, 28p

Predmety: RAILROAD bridges, STRUCTURAL health monitoring, FREQUENCY-domain analysis, FAULT diagnosis, MACHINE learning, ARTIFICIAL neural networks, ACCELERATION measurements

An Enhanced Intrusion Detection System Using Attention-Based Stacked Sparse Autoencoder Feature Extraction.

Autori: Varanasi, Venkata Ramani Razia, Shaik

Zdroj: Engineering, Technology & Applied Science Research; Aug2025, Vol. 15 Issue 4, p24436-24441, 6p

Predmety: INTRUSION detection systems (Computer security), FEATURE extraction, SIGNAL denoising, LONG short-term memory, ARTIFICIAL neural networks, BIG data, MACHINE learning

Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model.

Autori: Gu, Zhengmin Guo, Lang Huang, Jie a ďalší

Zdroj: Scientific Reports; 11/21/2025, Vol. 15 Issue 1, p1-14, 14p

Predmety: ANOMALY detection (Computer security), MACHINE learning, DEEP learning, RESOURCE allocation, MEDICAL informatics, DIMENSIONAL reduction algorithms, FEATURE extraction, AUTOENCODERS

Modelling and solving sustainable supply chain network design based on graph autoencoder clustering algorithm.

Autori: Guo, Yuhan Chen, Runsheng Boulaksil, Youssef a ďalší

Zdroj: International Journal of Production Research; Dec2025, Vol. 63 Issue 24, p10000-10026, 27p

A hybrid stacked sparse autoencoder and LightGBM framework for high-performance intrusion detection in IoT networks.

Autori: Madhavan Nair Vasanthamma, Hari Vinayak Thankaswamy, Jarin

Zdroj: Iran Journal of Computer Science; Dec2025, Vol. 8 Issue 4, p2175-2198, 24p

Attention-based convolutional dual sparse autoencoder for analyzing air, water and heat stress in poultry farms for egg production.

Autori: Deepika Nagarathna Channegowda

Zdroj: Multimedia Tools & Applications; Apr2025, Vol. 84 Issue 14, p14105-14137, 33p

Predmety: FISHER discriminant analysis, POULTRY farms, LINEAR programming, POULTRY farming, AUTOENCODERS, EGG quality, FOOD quality

WOT-AE: Weighted Optimal Transport Autoencoder for Patterned Fabric Defect Detection.

Autori: Yang, Hui Kang, Linyan Yang, Tianjin

Zdroj: Symmetry (20738994); Nov2025, Vol. 17 Issue 11, p1829, 18p

Predmety: TEXTILES, AUTOENCODERS, MATRIX decomposition, MACHINE learning, SYMMETRY, OUTLIER detection

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

Autori: Mohana, M. Subashini, P. Ghinea, George

Zdroj: Signal, Image & Video Processing; May2025, Vol. 19 Issue 5, p1-18, 18p

Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization.

Autori: Gopi, R. Thiruppathy Kesavan, V. Jakir Hossen, Md. a ďalší

Zdroj: Scientific Reports; 5/26/2025, Vol. 15 Issue 1, p1-18, 18p

Predmety: LONG short-term memory, ARTIFICIAL neural networks, ARTIFICIAL intelligence, FEATURE selection, AUTOENCODERS, INTRUSION detection systems (Computer security)

Optimisation of sparse deep autoencoders for dynamic network embedding.

Autori: Tang, Huimei Zhang, Yutao Ma, Lijia a ďalší

Zdroj: CAAI Transactions on Intelligence Technology; Dec2024, Vol. 9 Issue 6, p1361-1376, 16p

Predmety: ARTIFICIAL neural networks, AUTOENCODERS, COMPUTATIONAL complexity, TRAINING needs, DYNAMIC models

Enhancing enterprise knowledge retrieval via cross-domain deep recommendation: a sparse data approach.

Autori: Li, Ting

Zdroj: Scientific Reports; 5/20/2025, Vol. 15 Issue 1, p1-15, 15p

Predmety: INFORMATION retrieval, RECOMMENDER systems, KNOWLEDGE management, AUTOENCODERS, TECHNICAL reports

Sparse deep encoded features with enhanced sinogramic red deer optimization for fault inspection in wafer maps.

Autori: Altantawy, Doaa A. Yakout, Mohamed A.

Zdroj: Journal of Intelligent Manufacturing; Jun2025, Vol. 36 Issue 5, p3359-3397, 39p

Predmety: CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, AUTOENCODERS, MANUFACTURING processes, INFORMATION processing