Výsledky vyhľadávania - stacked sparse autoencoder(((suae OR sae) OR stad))

Industrial Internet of Things Cyber Threats Detection Through Deep Feature Learning and Stacked Sparse Autoencoder Based Classification

Autori: R. Vijay Anand G. Magesh I. Alagiri a ďalší

Zdroj: Transactions on Emerging Telecommunications Technologies. 36

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

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

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

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

Autori: Abdussamad Daud, Hanita Sokkalingam, Rajalingam a ďalší

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

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

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

Autori: Rao Althi, Tirupathi Koley, Ebha Ghosh, Subhojit a ďalší

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

Predmety: *ALGORITHMS, ELECTRIC lines, DIGITAL computer simulation, ELECTRIC fault location

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

Autori: Rui Xu Tie Yan Shihui Sun a ďalší

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

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

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

Autori: Zhenyu Ye Ping Wu Yuchen He a ďalší

Zdroj: The Canadian Journal of Chemical Engineering. 101:5858-5873

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

Autori: Jorge, T. Magalhães, J. Silva, R. a ďalší

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

Predmety: 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.

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

Identification of maize seed varieties based on stacked sparse autoencoder and near‐infrared hyperspectral imaging technology.

Autori: Fu, Lvhui Sun, Jun Wang, Simin a ďalší

Zdroj: Journal of Food Process Engineering. Sep2022, Vol. 45 Issue 9, p1-12. 12p.

Predmety: CORN seeds, SEEDS, PRINCIPAL components analysis, SUPPORT vector machines, CORN, FEATURE extraction, MACHINE learning

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

Autori: Issa, Sali Ali, Montaser Elsayed Wang, Qi a ďalší

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

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

Autori: Ye, Zhenyu Wu, Ping He, Yuchen a ďalší

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

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

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

Autori: Dandan Yao Yinghua Yang Xiaozhi Liu

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

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

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

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

Autori: Yumei Qi Changqing Shen Dong Wang a ďalší

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

Predmety: Sparse autoencoder, ensemble empirical mode decomposition, autoregressive model, fault diagnosis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/7983338/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/da13decb21fb43e09782631267e8200c

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

Autori: Zhou, Juan Zhang, Shun Wang, Peng

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

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

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

Autori: Xiaoai Dai Junying Cheng Shouheng Guo a ďalší

Zdroj: Discrete Dynamics in Nature and Society, Vol 2023 (2023)

Predmety: QA1-939, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Mathematics

Popis súboru: text/xhtml

Prístupová URL adresa: https://doaj.org/article/71c0bb7c7e5e435bbe38d9f526122872

Stacked sparse autoencoder based fault detection and location method for modular five-level converters

Autori: Bin Duan Qiaoxuan Yin Mengjun Shen a ďalší

Zdroj: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. :1580-1585

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/iecon/iecon2017.html#YinDSQ17

Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems.

Autori: Alotaibi, Saud S. Alghamdi, Turki Ali

Zdroj: Scientific Reports; 8/19/2025, Vol. 15 Issue 1, p1-17, 17p

Predmety: DEEP learning, INTRUSION detection systems (Computer security), AUTOENCODERS, ALGORITHMS, CYBER physical systems, INTERNET security, CYBERTERRORISM, FEATURE selection

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)

Autori: 曾梦洁 李舜酩 李冉冉 a ďalší

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