Search Results - "stacked autoencoder"

Customer Behavior Classification Using Deep Stacked Autoencoder with Dragonfly Optimization

Authors: Gajendran K S Arunkumar Thangavelu

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

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

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

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

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

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

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

Big Data Analytics Cyber Forensic Framework Using Enhanced Sunflower Jaya Optimization- Based Deep Stacked Autoencoder

Authors: Sabaresan V Sharon Samraj J Manjunath N

Source: 2025 6th International Conference for Emerging Technology (INCET). :1-7

Multi-scale feature fused stacked autoencoder and its application for soft sensor modeling

Authors: Zhi Li Yuchong Xia Jian Long et al.

Source: Chinese Journal of Chemical Engineering. 81:241-254

Type 2 Diabetes Data Classification Using an Attention-based Stacked Autoencoder and TabNet Hybrid Model

Source: International Journal of Intelligent Engineering and Systems. 18:761-772

Adaptive Support Attack Detection Algorithm for Stacked Autoencoder Based on Adversarial Learning

Authors: Xin Li Hongli Li Zhijie Song

Source: 2025 6th International Conference on Computer Engineering and Application (ICCEA). :01-07

A new DDoS attack detection model based on improved stacked autoencoder and gated recurrent unit for software defined network

Authors: Haizhen Wang Na Jia Yang He et al.

Source: The Computer Journal. 68:1028-1049

Anomaly Detection via Rain Optimization Algorithm and Stacked Autoencoder Hoeffding Tree

Authors: null Shaymaa Abdul Hussein Shnain

Source: Journal of Information Systems Engineering and Management. 10:474-482

INTEGRATING GENERATIVE ADVERSARIAL NETWORKS AND STACKED AUTOENCODER NEURAL NETWORKS FOR ENHANCED CREDIT RISK ASSESSMENT IN FINTECH

Authors: Xueping Zhu Suzani Mohamad Samuri Lin Qin et al.

Source: International Journal of Entrepreneurship and Management Practices. 8:01-13

Hybrid optimization based deep stacked autoencoder for routing and intrusion detection

Authors: Mythili Boopathi

Source: Web Intelligence. 23:3-22

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A New Proposal of Layer Insertion in Stacked Autoencoder Neural Networks

Authors: Francisco dos Santos Viana Bianca Valéria Lopes Pereira Moisés Santos et al.

Source: Lecture Notes in Computer Science ISBN: 9783032051752

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

Improved Stacked Autoencoder Combined with LSTM-CA for Intrusion Detection Model

Authors: Yuyang Zhu

Source: 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). :314-318