Výsledky vyhledávání - stacked sparse autoencoder(((ssage OR sae) OR ssad))

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

Autoři: R. Vijay Anand G. Magesh I. Alagiri a další

Zdroj: Transactions on Emerging Telecommunications Technologies. 36

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

Popis souboru: electronic resource

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

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

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

Autoři: Xiaoai Dai Junying Cheng Shouheng Guo a další

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

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

Popis souboru: text/xhtml

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

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

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

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

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

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

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

Autoři: Zhenyu Ye Ping Wu Yuchen He a další

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.

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

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.

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

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/

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

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

Autoři: Lvhui Fu Jun Sun Simin Wang a další

Zdroj: Journal of Food Process Engineering. 45

Témata: 2. Zero hunger, 0404 agricultural biotechnology, 04 agricultural and veterinary sciences, 0405 other agricultural sciences

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

Autoři: Bin Duan Qiaoxuan Yin Mengjun Shen a další

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

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

Přístupová 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.

Autoři: Alotaibi, Saud S. Alghamdi, Turki Ali

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

Témata: 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)

Autoři: 曾梦洁 李舜酩 李冉冉 a další

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