Výsledky vyhledávání - stacked sparse autoencoder(sae)

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

Autoři: Abdussamad Daud, Hanita Sokkalingam, Rajalingam a další

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

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

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

Autoři: Jo, Mi Young Kim, Hyun Jung

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

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

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

Autoři: Varanasi, Venkata Ramani Razia, Shaik

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

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

Intelligent evaluation method for identifying favorable shale oil areas based on improved stacked sparse autoencoder.

Autoři: Rui Xu Tie Yan Shihui Sun a další

Zdroj: Oil Shale; 2025, Vol. 42 Issue 1, p79-114, 36p

Témata: SHALE oils, SUPERVISED learning, PETROLEUM prospecting, AUTOENCODERS, MACHINE learning

Latent Feature‐Based Type 2 Diabetes Prediction Using a Hybrid Stacked Sparse Autoencoder and Machine Learning Models.

Autoři: Abdussamad Daud, Hanita Sokkalingam, Rajalingam a další

Zdroj: Engineering Reports; Sep2025, Vol. 7 Issue 9, p1-17, 17p

Témata: TYPE 2 diabetes, MACHINE learning, CLINICAL decision support systems, METADATA, FORECASTING, FEATURE extraction

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

Autoři: Madhavan Nair Vasanthamma, Hari Vinayak Thankaswamy, Jarin

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

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery

Autoři: Yumei Qi Changqing Shen Dong Wang a další

Zdroj: IEEE Access, Vol 5, Pp 15066-15079 (2017)

Témata: 0202 electrical engineering, electronic engineering, information engineering, autoregressive model, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, fault diagnosis, ensemble empirical mode decomposition, Sparse autoencoder, TK1-9971

Přístupová URL adresa: https://doaj.org/article/da13decb21fb43e09782631267e8200c
https://dblp.uni-trier.de/db/journals/access/access5.html#QiSWSJZ17
http://ieeexplore.ieee.org/document/7983338
https://ieeexplore.ieee.org/abstract/document/7983338
https://doi.org/10.1109/ACCESS.2017.2728010

Remaining Useful Life Prediction Based on Stacked Sparse Autoencoder and Echo State Network

Autoři: Dandan Yao Yinghua Yang Xiaozhi Liu

Zdroj: 2020 39th Chinese Control Conference (CCC). :5922-5926

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

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9188550/

Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder.

Autoři: Jorge, T. Magalhães, J. Silva, R. a další

Zdroj: Vehicle System Dynamics; Feb2025, Vol. 63 Issue 2, p232-257, 26p

Témata: FEATURE extraction, RAILROAD trains, AUTOENCODERS, ARTIFICIAL intelligence, MULTISENSOR data fusion, ROLLING stock

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

Autoři: Fouda, Walaa Mirzaliev, Sanjar Abokhoza, Reneh

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

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

Six Phase Transmission Line Protection Using Bat Algorithm Tuned Stacked Sparse Autoencoder.

Autoři: Rao Althi, Tirupathi Koley, Ebha Ghosh, Subhojit a další

Zdroj: Electric Power Components & Systems; 2023, Vol. 51 Issue 2, p113-130, 18p

Témata: ELECTRIC lines, ALGORITHMS, DIGITAL computer simulation, ELECTRIC fault location

SSAE‐KPLS: A quality‐related process monitoring via integrating stacked sparse autoencoder with kernel partial least squares.

Autoři: Ye, Zhenyu Wu, Ping He, Yuchen a další

Zdroj: Canadian Journal of Chemical Engineering; Oct2023, Vol. 101 Issue 10, p5858-5873, 16p

Témata: LEAST squares, FEATURE extraction, MANUFACTURING processes, PRODUCT quality

An Automatic Feature Learning and Fault Diagnosis Method Based on Stacked Sparse Autoencoder

Autoři: Jie Liu Dading Li Zhongkui Zhu a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789811057670

Přístupová URL adresa: https://rd.springer.com/chapter/10.1007/978-981-10-5768-7_39
https://link.springer.com/chapter/10.1007%2F978-981-10-5768-7_39

Fault Diagnosis for Power Batteries Based on a Stacked Sparse Autoencoder and a Convolutional Block Attention Capsule Network.

Autoři: Zhou, Juan Zhang, Shun Wang, Peng

Zdroj: Processes; Apr2024, Vol. 12 Issue 4, p816, 19p

Témata: CAPSULE neural networks, FAULT diagnosis, ELECTRIC vehicle batteries, ELECTRIC vehicles, ELECTRIC power failures, ELECTRIC fault location, FAILURE mode & effects analysis

End-to-end deep SAE-DNN model for predicting Egyptian buffalo calf sex, weight, and daily milk yield.

Autoři: Issa, Sali Ali, Montaser Elsayed Wang, Qi a další

Zdroj: Tropical Animal Health & Production. Dec2025, Vol. 57 Issue 9, p1-9. 9p.

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

Autoři: YURTSEVER, Mustafa ÜMÜTLÜ, Rafet Can ÖZTÜRK, Hasan

Zdroj: Konya Journal of Engineering Sciences / Konya Mühendislik Bilimleri Dergisi; Mar2025, Vol. 13 Issue 1, p59-74, 16p

Témata: GEARBOXES, FAULT diagnosis, POWER transmission, DEEP learning, AUTOENCODERS

Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification.

Autoři: Liu, Li Wang, Yuebin Peng, Junhuan a další

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; May2020, Vol. 58 Issue 5, p3711-3725, 15p

Témata: CLASSIFICATION, LEARNING ability, MATHEMATICAL regularization, SPARSE approximations

Optimization Strategy of a Stacked Autoencoder and Deep Belief Network in a Hyperspectral Remote-Sensing Image Classification Model.

Autoři: Dai, Xiaoai Cheng, Junying Guo, Shouheng a další

Zdroj: Discrete Dynamics in Nature & Society; 4/28/2023, p1-20, 20p

Témata: DEEP learning, IMAGE recognition (Computer vision), REMOTE-sensing images, BOLTZMANN machine, REMOTE sensing, FEATURE extraction, ELECTRONIC data processing

Stacked sparse autoencoders monitoring model based on fault-related variable selection.

Autoři: Yin, Jie Yan, Xuefeng

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Mar2021, Vol. 25 Issue 5, p3531-3543, 13p

Témata: ELECTRONIC data processing, INFORMATION processing, CHEMICAL industry, ACQUISITION of data, DATA modeling, EUCLIDEAN distance

基于堆叠稀疏判别自编码的滚动轴承 智能故障诊断方法. (Chinese)

Alternate Title: Intelligent Fault Diagnosis Method for Rolling Bearings Based on Stacked Sparse Discriminative Autoencoders. (English)

Autoři: 曾梦洁 李舜酩 李冉冉 a další

Zdroj: Bearing; Mar2024, Issue 3, p77-98, 8p