Search Results - stacked sparse autoencoder((((ssae OR ssage) OR sae) OR ssad))~

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

Authors: Firman Aziz Nurul Fathanah Mustamin Muhammad Rijal et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/b3862fba0473469baccb6c99d6abb913

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

Authors: Jeffry Jeffry Firman Aziz Sri Kurniyan Sari et al.

Source: 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

Authors: Zhenyu Ye Ping Wu Yuchen He et al.

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

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

Authors: R. Kanimozhi A. Neela Madheswari

Source: Transactions on Emerging Telecommunications Technologies. 36

Rolling Bearing Fault Diagnosis Based on Optimized VMD and SSAE

Authors: Baoxian Chang Xing Zhao Dawei Guo et al.

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

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

Access URL: https://doaj.org/article/32acbd6ea9174f9b9521e2a0a6dffde3

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

Authors: Fouda, Walaa Mirzaliev, Sanjar Abokhoza, Reneh

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

Subject Terms: 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

Authors: Walaa Walaa Sanjar Mirzaliev Reneh Abokhoza

Source: 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.

Authors: Ye, Zhenyu Wu, Ping He, Yuchen et al.

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

Subject Terms: LEAST squares, FEATURE extraction, MANUFACTURING processes, PRODUCT quality

Effective Feature Extraction via Stacked Sparse Autoencoder to Improve Intrusion Detection System

Authors: Binghao Yan Guodong Han

Source: IEEE Access, Vol 6, Pp 41238-41248 (2018)

Subject Terms: machine learning, SSAE, feature extraction, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Intrusion detection, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Access URL: https://doaj.org/article/2752c87878fd4f2a95365793fcba45b1
https://ieeexplore.ieee.org/abstract/document/8418451/
https://dblp.uni-trier.de/db/journals/access/access6.html#YanH18
https://doi.org/10.1109/ACCESS.2018.2858277

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

Authors: He, Zhaopeng Shi, Tielin Chen, Xu

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

Subject Terms: *ARTIFICIAL neural networks, *MACHINE learning, *ENSEMBLE learning, *NUMERICAL control of machine tools, *AUTOENCODERS, *DEEP learning

Research on Dung Beetle Optimization Based Stacked Sparse Autoencoder for Network Situation Element Extraction

Authors: Yongchao Yang Pan Zhao

Source: IEEE Access, Vol 12, Pp 24014-24026 (2024)

Subject Terms: 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

Access URL: https://doaj.org/article/1673678679c54e25ad55d197aad24b5e

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

Authors: SHEEBA D. LINGESHWARI G. ANORELIN A.

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

Subject Terms: 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.

Authors: Zhou, Juan Zhang, Shun Wang, Peng

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

Subject Terms: 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.

Authors: Alotaibi, Saud S. Alghamdi, Turki Ali

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

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

Deep Neural Network Hardware Implementation Based on Stacked Sparse Autoencoder

Authors: Maria G. F. Coutinho Matheus F. Torquato Marcelo A. C. Fernandes

Source: IEEE Access, Vol 7, Pp 40674-40694 (2019)

Subject Terms: Deep learning, stacked sparse autoencoder, FPGA, systolic array, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/8678408/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/9c4a8535d2774e0281877ba083e9dc25

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

Authors: Kanimozhi, R. Neela Madheswari, A.

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

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

Authors: Coutinho, Maria G. F. Câmara, Gabriel B. M. Barbosa, Raquel de M. et al.

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

Subject Terms: *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.

Authors: Verma, Rashmi Jailia, Manisha

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

Subject Terms: 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.

Authors: Yin, Jie Yan, Xuefeng

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

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

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

Authors: Maria G.F. Coutinho Gabriel B.M. Câmara Raquel de M. Barbosa et al.

Source: 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)

Subject Terms: 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

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