Výsledky vyhledávání - stacked sparse autoencoder((((ssae OR sage) OR sae) OR ssad))~

Improved Human Activity Recognition Using Stacked Sparse Autoencoder (SSAE) Algorithm

Autoři: Firman Aziz Nurul Fathanah Mustamin Muhammad Rijal a další

Zdroj: JOIV: International Journal on Informatics Visualization, Vol 9, Iss 4, Pp 1469-1475 (2025)

Témata: classification, har, smartphones, svm, ssae, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://joiv.org/index.php/joiv/article/view/3079; https://doaj.org/toc/2549-9610; https://doaj.org/toc/2549-9904

Přístupová URL adresa: https://doaj.org/article/b3862fba0473469baccb6c99d6abb913

Recognition of Human Activities via SSAE Algorithm: Implementing Stacked Sparse Autoencoder

Autoři: Jeffry Jeffry Firman Aziz Sri Kurniyan Sari a další

Zdroj: Journal of System and Computer Engineering (JSCE). 6:117-123

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

Novel Pelican Optimization Algorithm (POA) With Stacked Sparse Autoencoder (SSAE) Based IDS for Network Security

Autoři: R. Kanimozhi A. Neela Madheswari

Zdroj: Transactions on Emerging Telecommunications Technologies. 36

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy.

Autoři: He, Zhaopeng Shi, Tielin Chen, Xu

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 8, p2391, 14p

Témata: ARTIFICIAL neural networks, MACHINE learning, ENSEMBLE learning, NUMERICAL control of machine tools, AUTOENCODERS, DEEP learning

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

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

Autoři: Walaa Walaa Sanjar Mirzaliev Reneh Abokhoza

Zdroj: Journal of Intelligent Systems and Internet of Things. 14:115-126

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

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

HYBRID DEEP LEARNING NETWORK-BASED APPROACH FOR AIR COMBAT MANEUVER DECISION-MAKING.

Autoři: SHEEBA D. LINGESHWARI G. ANORELIN A.

Zdroj: i-Manager's Journal on Computer Science; Sep2025, Vol. 13 Issue 2, p83-93, 11p

Témata: LONG short-term memory, DEEP learning, DECISION making, METADATA, AIR warfare, ENSEMBLE learning, AUTONOMOUS robots

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

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

Novel Pelican Optimization Algorithm (POA) With Stacked Sparse Autoencoder (SSAE) Based IDS for Network Security.

Autoři: Kanimozhi, R. Neela Madheswari, A.

Zdroj: Transactions on Emerging Telecommunications Technologies; May2025, Vol. 36 Issue 5, p1-20, 20p

Rolling Bearing Fault Diagnosis Based on Optimized VMD and SSAE

Autoři: Baoxian Chang Xing Zhao Dawei Guo a další

Zdroj: IEEE Access, Vol 12, Pp 130746-130762 (2024)

Témata: Bearing fault diagnosis, stacked sparse autoencoders, Electrical engineering. Electronics. Nuclear engineering, variational modal decomposition, dung beetle optimization algorithm, TK1-9971

Přístupová URL adresa: https://doaj.org/article/32acbd6ea9174f9b9521e2a0a6dffde3

Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders.

Autoři: Coutinho, Maria G. F. Câmara, Gabriel B. M. Barbosa, Raquel de M. a další

Zdroj: Neural Computing & Applications. Nov2024, Vol. 36 Issue 31, p19823-19837. 15p.

Témata: *ARTIFICIAL neural networks, *WHOLE genome sequencing, *SARS-CoV-2, *DEEP learning, *VIRAL genomes

A hybrid metaheuristic federated learning approach based attack detection system for multi-cloud environment.

Autoři: Verma, Rashmi Jailia, Manisha

Zdroj: Journal of Cloud Computing (2192-113X); 11/27/2025, Vol. 14 Issue 1, p1-22, 22p

Témata: FEDERATED learning, CLOUD computing, CLOUD computing security measures, INTRUSION detection systems (Computer security), DATA privacy, ANOMALY detection (Computer security), MACHINE learning, METAHEURISTIC algorithms

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

SARS-CoV-2 virus classification based on stacked sparse autoencoder

Autoři: Maria G.F. Coutinho Gabriel B.M. Câmara Raquel de M. Barbosa a další

Zdroj: Comput Struct Biotechnol J
Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Computational and Structural Biotechnology Journal, Vol 21, Iss, Pp 284-298 (2023)

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, SARS-CoV-2, Viral classification, COVID-19, Deep learning, TP248.13-248.65, Biotechnology, Sparse autoencoder, Research Article, 3. Good health

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36530948
https://doaj.org/article/c087946b2c9c4d91a698022e3e3c53ad
https://hdl.handle.net/10481/79357

Cost Prediction of Tunnel Construction Based on Interpretative Structural Model and Stacked Sparse Autoencoder.

Autoři: Jing-Qun Zhou Qi-Ming Liu Chang-Xi Ma a další

Zdroj: Engineering Letters. Oct2024, Vol. 32 Issue 10, p1966-1980. 15p.

Témata: *COST control, *HIGHWAY engineering, *TUNNEL design & construction, *CONSTRUCTION costs, *STRUCTURAL models, *DEEP learning

Online prediction of composite material drilling quality based on multi-sensor fusion.

Autoři: Liu, Wei Cui, ·Jiacheng Lu, Yongkang a další

Zdroj: Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5889-5901, 13p

Témata: COMPOSITE materials, MULTISENSOR data fusion, INDUSTRIAL applications, MANUFACTURING process management, MACHINING, PREDICTION models, FORECASTING, BAYESIAN analysis