Search Results - stacked autoencoder*

Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders

Authors: Babaey, Vahid Faragardi, Hamid Reza

Source: Computers. 14(6)

Subject Terms: autoencoder, ensemble classification, GRU, LSTM, neural networks, stacked, tokenization, zero-day attacks

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368654
https://doi.org/10.3390/computers14060205

Customer Behavior Classification Using Deep Stacked Autoencoder with Dragonfly Optimization

Authors: Gajendran K S Arunkumar Thangavelu

Source: Journal of Machine and Computing. :2230-2240

Enhanced Product Defect Detection in Smart Manufacturing Using ConvNeXt-Stacked Autoencoder Architecture

Authors: Hasan, Ahmed M. Nasser, Ahmed R. Al-Araji, Ahmed Sabah et al.

Source: Indonesian Journal of Science and Technology; Vol 10, No 2 (2025): IJOST: September 2025; 297-316

Subject Terms: ConvNeXt, Convolutional neural network, Deep learning algorithms, Product defect detection, Quality control, Stacked autoencoders

File Description: application/pdf

Access URL: http://ejournal.upi.edu/index.php/ijost/article/view/82229

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

Prediction of Recurrence using a Stacked Denoising Autoencoder and Multifaceted Feature Analysis of Pretreatment MRI in Patients with Nasopharyngeal Carcinoma

Authors: Yibin, Liu Xianwen, Wang Jiongyi, Li et al.

Source: Current Radiopharmaceuticals. 18:224-243

Access URL: https://pubmed.ncbi.nlm.nih.gov/40237056

An Enhanced Intrusion Detection System Using Attention-Based Stacked Sparse Autoencoder Feature Extraction

Authors: Venkata Ramani Varanasi Razia Shaik

Source: Engineering, Technology & Applied Science Research. 15:24436-24441

AN IMPROVED SWIN TRANSFORMER BASED STACKED CAPSULE AUTOENCODER MODEL FOR WEED DETECTION IN RICE FIELDS

Authors: null Sourabh Sagar, Mahantesh N.Birje

Source: International Journal of Applied Mathematics. 38:558-584

Data-Driven Dynamic Process Modeling Using Temporal RNN Incorporating Output Variable Autocorrelation and Stacked Autoencoder

Authors: Yujie Hu Lingyu Zhu Han Gong et al.

Source: Systems and Control Transactions. 4:229-234

Optimization of Region Detection for Magnetic Induction Tomography of Cerebral Hemorrhage based on Stacked Autoencoder Algorithm

Authors: Ruijuan Chen Xinlei Zhu Yalin Du et al.

Source: Journal of Imaging Science and Technology. 69:1-10

MiRNA-Disease Association Prediction Based on Stacked Autoencoders and Variant Triplet Networks

Authors: Nguyen-Phuc-Xuan Quynh Hoai-Nhan Tran Cheng Yan et al.

Source: Journal of Computer Science and Technology. 40:1124-1137

Novel Stacked Maximal Information Coefficient-Weighted Autoencoder With Attribute Expansion and Its Application to Industrial Soft Sensors

Authors: Haoyuan Wang Qunxiong Zhu Yanlin He et al.

Source: IEEE Sensors Journal. 25:25098-25107

A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders

Authors: Shahid Tufail Hasan Iqbal Mohd Tariq et al.

Source: IEEE Access, Vol 13, Pp 33783-33798 (2025)

Subject Terms: multi-layer perceptron (MLP), machine learning algorithms, autoencoders, grid-connected PV systems, Electrical engineering. Electronics. Nuclear engineering, Photovoltaic (PV) systems, random forest, TK1-9971

Access URL: https://doaj.org/article/ae0ba93fe9954d4ead939ac8b5b9f52f

Regularized Stacked Autoencoder with Dropout-Layer to Overcome Overfitting in Numerical High-Dimensional Sparse Data

Authors: Abdussamad Abdussamad Hanita Daud Rajalingam Sokkalingam et al.

Source: Journal of Advanced Research Design. 129:60-74

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

Authors: Rui Xu Tie Yan Shihui Sun et al.

Source: Oil Shale, Vol 42, Iss 1, Pp 79-114 (2025)

Subject Terms: autoencoder, semi-supervised learning, Technology, Q1-390, Science (General), batch normalization, shale oil, favorable area

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

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

Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization

Authors: Chi Zeng Jialing Li Abbas Habibi

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Subject Terms: Speech emotion recognition, Stacked autoencoders, Particle swarm optimization, Grass fibrous root optimization, Feature extraction, Emotional States, Medicine, Science

File Description: electronic resource

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

Access URL: https://doaj.org/article/40ce56e08c5143cbbd452e41bf94eea3

A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction

Authors: Abdussamad Hanita Daud Rajalingam Sokkalingam et al.

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

Subject Terms: Autoencoder, Deep learning, Diabetes prediction, Feature selection, Machine learning, Sparse data, Medicine, Science

File Description: electronic resource

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

Access URL: https://doaj.org/article/2fea4da469ce4f14bd82089d355a10f4

Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization

Authors: JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

Source: Shanghai Jiaotong Daxue xuebao, Vol 59, Iss 6, Pp 780-788 (2025)

Subject Terms: Chemical engineering, Naval architecture. Shipbuilding. Marine engineering, status data, VM1-989, TP155-156, TA1-2040, Engineering (General). Civil engineering (General), stacked denoising autoencoder, data cleaning, power equipment

Access URL: https://doaj.org/article/a9b9c95033014d53b01068f2d1ca54df