Search Results - "stacked autoencoder"

Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis

Authors: Brahim Jabir Bendaoud Nadif Isabel De la Torre Díez et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 16429-16444 (2025)

Subject Terms: Ocean engineering, remote sensing, Active learning, QC801-809, hyperspectral data classification, Geophysics. Cosmic physics, deep learning, support vector machine (SVM), TC1501-1800, stacked autoencoder (SAE)

Access URL: https://doaj.org/article/5602b4c04aa6495993f0a42a57ad9363

Stressed Vegetation Identification Under Natural Gas Microleakage From Hyperspectral Images Using Stacked Autoencoder and Multiscale Three-Dimensional Convolutional Neural Network

Authors: Kangni Xiong Jinbao Jiang Weiwei Ran et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 16334-16346 (2025)

Subject Terms: natural gas microleakage, Ocean engineering, hyperspectral imagery, vegetation stress, QC801-809, Geophysics. Cosmic physics, Convolution neural network, TC1501-1800, stacked autoencoder (SAE)

Access URL: https://doaj.org/article/7663de844d86404e971d9788f0b8a659

Traffic State Estimation With Spatio-Temporal Autoencoding Transformer (STAT Model)

Authors: Ali Reza Sattarzadeh Pubudu N. Pathirana van Thanh Huynh

Source: IEEE Access, Vol 13, Pp 87048-87067 (2025)

Subject Terms: Time-series forecasting, transformer, deep learning, stacked autoencoder, Electrical engineering. Electronics. Nuclear engineering, traffic prediction, TK1-9971

Access URL: https://doaj.org/article/a295a0130d9e469a8c3b7b2a1b981ab5

Indoor WiFi fingerprint localization based on dual population PSO of stacked autoencoder and multi label classification

Authors: Yiguo Cheng Kun Zhang Bing Zheng et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Subject Terms: Deep neural network model, Multi-Label classification, Dual-Population-Particle swarm optimization, Received signal strength, Stacked autoencoder, WiFi fingerprint localization, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/6cf1f84437d640d9bcb9e4456847857c

Machine learning-based analysis of multi-region bone fracture detection and classification using biomedical images

Authors: Alla M. Elsheikh Azhari A. Elhag

Source: Alexandria Engineering Journal, Vol 128, Iss , Pp 186-199 (2025)

Subject Terms: Bone Fracture Detection, Wild Gibbon Optimization, Weiner Filtering, DenseNet201, Stacked Autoencoder, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016825007033; https://doaj.org/toc/1110-0168

Access URL: https://doaj.org/article/c76d016c267f428c9768e54f322e1e24

Secure big data sharing with hybrid encryption and deep learning

Authors: Reshma Siyal Jun Long Sajid Ullah Khan et al.

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 8, Pp 1-29 (2025)

Subject Terms: Siamese convolutional neural network, Deep stacked autoencoder, Relief method, Attack detection, Multiple data security, Blockchain security, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/a12b36e47bb7495da7b7b6a7d822b2a8

Automated drug design for druggable target identification using integrated stacked autoencoder and hierarchically self-adaptive optimization

Authors: Seyed Saeed Masoomkhah Khosro Rezaee Mojtaba Ansari et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Subject Terms: Machine learning, Deep learning, Drug design, Stacked autoencoder, Particle swarm optimization algorithm, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/04f34e0caa3b4773b801eb08b8524de9

SAINT-IIOT: Elk herd optimized deep learning model for efficient anomaly detection in the IIoT

Authors: K. Mahalakshmi B. Jaison

Source: Ain Shams Engineering Journal, Vol 16, Iss 12, Pp 103625- (2025)

Subject Terms: Anomaly detection, Deep learning, Cascaded stacked autoencoder, Elk Herd optimization, Synthetic minority over-sampling technique, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447925003661; https://doaj.org/toc/2090-4479

Access URL: https://doaj.org/article/b71d88cb59ae4468ab3b624a1a5509fa

Comparing Functional and Effective Connectivity Features in Diagnosis of Autism Spectrum Disorder Using Stacked Autoencoder by Resting-State fMRI Data

Authors: Pegah Navaei Ali Khadem Effat Jalaeian Zaferani

Source: Frontiers in Biomedical Technologies, Vol 12, Iss 4 (2025)

Subject Terms: Autism Spectrum Disorder, Resting-State functional Magnetic Resonance Imaging, Functional and Effective Brain Connectivity, Pearson Correlation Coefficient, Granger Causality, Stacked Autoencoder, Medical technology, R855-855.5

File Description: electronic resource

Relation: https://fbt.tums.ac.ir/index.php/fbt/article/view/919; https://doaj.org/toc/2345-5837

Access URL: https://doaj.org/article/7c0a74f6677a4c7ebd8badacdfb2da2a

A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Authors: Qiongbing Xiong Xuecheng Wu Cizhen Yu et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Subject Terms: Land-use classification, Deep learning, VGG-19, Stacked autoencoder, Metaheuristic, Boosted Big-Bang crunch theory, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/e74a76f1129b4b589601b9244ecb2568

Stacked encoding and AutoML-based identification of lead–zinc small open pit active mines around Rampura Agucha in Rajasthan state, India

Authors: Abhishek Kumar Ojha Raja Biswas Akhouri Pramod Krishna

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)

Subject Terms: Automated machine learning (AutoML), Stacked autoencoder (SAE), Extra tree classifier (et), Light gradient boosting machine (lightgbm), Random forest classifier (rf), Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/5810a8a5c34f405c842f6ed2a02ba34e

SALLoc: An Accurate Target Localization in WiFi-Enabled Indoor Environments via SAE-ALSTM

Authors: Shehu Lukman Ayinla Azrina Abd Aziz Micheal Drieberg

Source: IEEE Access, Vol 12, Pp 19694-19710 (2024)

Subject Terms: indoor localization, long short-time memory, WiFi fingerprinting, 0202 electrical engineering, electronic engineering, information engineering, stacked autoencoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, mean localization error, attention mechanism, 01 natural sciences, TK1-9971, 0104 chemical sciences

Access URL: https://doaj.org/article/9b155ed231f04e70a40fb4a263f21af0

'Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand'

Authors: Mr. Amol Pandurang Yadav Dr. Sandip.R. Patil

Source: MethodsX, Vol 14, Iss , Pp 103207- (2025)

Subject Terms: Stacked autoencoder neural network (SAE), Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S221501612500055X; https://doaj.org/toc/2215-0161

Access URL: https://doaj.org/article/1aa5844d9d61416192f0e3ae736c041f

Short-term power load forecasting using bidirectional gated recurrent units-based adaptive stacked autoencoder

Authors: Jizhe Dong Yiwen Jiang Peiguang Chen et al.

Source: International Journal of Electrical Power & Energy Systems, Vol 165, Iss , Pp 110459- (2025)

Subject Terms: Bidirectional gated recurrent units (BiGRU), Load forecasting, Module pretraining, Multi-head self-attention mechanism, Adaptive stacked autoencoder (ASAE), Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525000109; https://doaj.org/toc/0142-0615

Access URL: https://doaj.org/article/c0cba524d26b4658ab8db4e706be4671

NOTE: non-parametric oversampling technique for explainable credit scoring

Authors: Seongil Han Haemin Jung Paul D. Yoo et al.

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)

Subject Terms: Conditional Wasserstein generative adversarial networks, Stacked autoencoder, Explainable AI, Imbalanced class, Oversampling, Credit scoring, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/6f51d7d4f3b44c48a47e17c0fd3ddfc0

Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm

Authors: Fatima Zohra El Hlouli Jamal Riffi Mhamed Sayyouri et al.

Source: Journal of Theoretical and Applied Electronic Commerce Research, Vol 18, Iss 4, Pp 2057-2076 (2023)

Subject Terms: credit card fraud, 0209 industrial biotechnology, dandelion algorithm, HF5001-6182, kernel extreme learning machine, 0202 electrical engineering, electronic engineering, information engineering, stacked autoencoder, Business, 02 engineering and technology

Access URL: https://doaj.org/article/4dc4d43a188f498cbc2c68ed2af86398

Flow Field Reconstruction and Prediction of Powder Fuel Transport Based on Scattering Images and Deep Learning

Authors: Hongyuan Du Zhen Cao Yingjie Song et al.

Source: Sensors, Vol 25, Iss 15, p 4613 (2025)

Subject Terms: scattering image, feature extraction, temporal prediction, stacked autoencoder, LSTM network, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/15/4613; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/a0532b23c20e4bfc9c350fc3d997a0d1

Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier

Authors: Ravi Kumar Jalli Lipsa Priyadarshini P.K. Dash et al.

Source: e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 11, Iss , Pp 100919- (2025)

Subject Terms: Multiple power quality events, Microgrid, Signal decomposition, Stacked autoencoder, Bidirectional LSTM, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772671125000269; https://doaj.org/toc/2772-6711

Access URL: https://doaj.org/article/7f7d0d772c6140c3bc29c1e743020a7f

Explainable and interpretable bearing fault classification and diagnosis under limited data

Authors: Magadán Cobo, Luis Ruíz-Cárcel, Cristóbal Granda Candás, Juan Carlos et al.

Subject Terms: Industry 4.0, Fault Diagnosis, Fault Classification, Rotating Machinery, Dynamic Time Warping, Stacked Autoencoder, Explainable AI

Relation: Advanced Engineering Informatics, 62; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124383OB-I00/ES/INTELIGENCIA EN EL EDGE USANDO UN MODELO EVOLUTIVO PARA ARQUITECTURAS DE PROCESAMIENTO DE DATOS DE SENSORES/; PA-22- BP21-120; Advanced Engineering Informatics, 62, (2024); doi:10.1016/j.aei.2024.102909; https://hdl.handle.net/10651/76312

Availability: https://hdl.handle.net/10651/76312

A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset

Authors: Isuru Udayangani Hewapathirana

Source: Knowledge ; Volume 5 ; Issue 1 ; Pages: 6

Subject Terms: intrusion detection, stacked autoencoder, apache spark, machine learning, principal component analysis, cybersecurity, CSE-CIC-IDS2018

File Description: application/pdf

Relation: https://dx.doi.org/10.3390/knowledge5010006

Availability: https://doi.org/10.3390/knowledge5010006