Search Results - convolutional autoencoder(CAE)

River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model

Authors: Kecong Wu Lirong Chen Yalige Bai et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 2602-2617 (2025)

Subject Terms: convolutional autoencoder (CAE), Ocean engineering, QC801-809, Geophysics. Cosmic physics, microgeomorphic feature, Anomaly values, TC1501-1800, Yarlung Zangbo River, sandstorm sources

Access URL: https://doaj.org/article/94424c5cfbc34885963f0ffe4a93a78c

Detecting Brain Tumor Stages Using Convolutional AutoEncoder (CAE) with Hybrid Deep Learning Method

Authors: D Agalya S. Kamalakkannan

Source: 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS). :796-803

An Improved Pan-Sharpening Method Based on Convolutional Autoencoder and Guided Filter (CAE-GF) on Quickbird Images

Authors: Jessica da Silva Costa Hideo Araki

Source: Anuário do Instituto de Geociências. 47

CAE-ResVGG FusionNet: A Feature Extraction Framework Integrating Convolutional Autoencoders and Transfer Learning for Immature White Blood Cells in Acute Myeloid Leukemia

Authors: Tusneem Elhassan Ahmed Hamza Osman Mohd Shafry Mohd Rahim et al.

Source: Heliyon, Vol 10, Iss 19, Pp e37745- (2024)

Subject Terms: Acute myeloid leukemia, Immature white blood cells, Autoencoder, VGG19, ResNet, Computer-aided diagnosis model, Science (General), Q1-390, Social sciences (General), H1-99

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024137760; https://doaj.org/toc/2405-8440

Access URL: https://doaj.org/article/57a51be9afa9498481b3afe15b315454

Enhanced multiple sclerosis diagnosis by MRI image retrieval using convolutional autoencoders

Authors: R.M. Haggag Eman M. Ali M.E. Khalifa et al.

Source: Egyptian Informatics Journal, Vol 30, Iss , Pp 100698- (2025)

Subject Terms: Multiple sclerosis, Convolutional autoencoder, Content-based medical image retrieval, CBMIR, CAE, MS, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S111086652500091X; https://doaj.org/toc/1110-8665

Access URL: https://doaj.org/article/8aaf2aa32ee4425c8aa7a83d797d3cff

Leveraging variant of CAE with sparse convolutional embedding and two-stage application-driven data augmentation for image clustering.

Authors: Liu, Yanming Liu, Jinglei

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Feb2025, Vol. 29 Issue 3, p1419-1435. 17p.

Subject Terms: *DATA augmentation, *AUTOENCODERS

Integrasi Convolutional Autoencoder dengan Support Vector Machine untuk Klasifikasi Varietas Almond

Authors: Rizal Fadlullah Sri Winarno Muhammad Naufal

Source: JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 11, Iss 1, Pp 63-77 (2025)

Subject Terms: Technology, machine learning, Electronic computers. Computer science, klasifikasi, support vector machine, QA75.5-76.95, varietas almond, convolutional autoencoder

Access URL: https://doaj.org/article/0b190ecfac37461bbde16e0f3ebddf6d

Convolutional Autoencoder Effect on Parallel Magnetic Resonance Imaging.

Authors: Korti, Amel Bekki, Amène Lalande, Alain

Source: International Journal of Imaging Systems & Technology. Nov2025, Vol. 35 Issue 6, p1-16. 16p.

Subject Terms: *MAGNETIC resonance imaging, *DEEP learning, *IMAGE quality analysis, *AUTOENCODERS, *IMAGE reconstruction

Motor Fault Diagnosis and Detection with Convolutional Autoencoder (CAE) Based on Analysis of Electrical Energy Data

Authors: YuRim Choi Inwhee Joe

Source: Electronics. 13:3946

Computer-Aided Diagnosis of Acute Lymphoblastic Leukemiaby Using a Novel CAE-CNN Framework

Authors: Mohammed Mansoor Alhammadi

Source: Iraqi Journal for Computers and Informatics, Vol 50, Iss 2, Pp 186-206 (2024)

Subject Terms: Technology, acute lymphoblastic leukemia, convolutional autoencoder, convolutional neural network, feature extraction, computer-aided diagnosis

Access URL: https://doaj.org/article/e9df85c84bfc4fee8a5a49bf1b184bee

Enhancing multi-step-ahead prediction of wave propagation with the CAE-LSTM model: a novel deep learning-based approach to flood dynamics

Authors: Zheng Han Guanping Long Changli Li et al.

Source: Geomatics, Natural Hazards & Risk, Vol 16, Iss 1 (2025)

Subject Terms: Wave propagation, flood dynamics, deep learning, convolutional autoencoders, long short-term memory, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Risk in industry. Risk management, HD61

File Description: electronic resource

Relation: https://doaj.org/toc/1947-5705; https://doaj.org/toc/1947-5713

Access URL: https://doaj.org/article/3e10f6e71d724d5a922f6d9c77ca1330

Robust sensor fault detection in wireless sensor networks using a hybrid conditional generative adversarial networks and convolutional autoencoder

Authors: Khan, Rehan Saeed, Umer Koo, Insoo et al.

Contributors: Khan, Rehan Saeed, Umer Koo, Insoo et al.

Subject Terms: Wireless Sensor Networks (WSNs), Convolutional Autoencoder (CAE), Gramian Angular Field (GAF), Conditional Generative Adversarial Networks (Conditional GANs), sensor faults, Subject Categories::G420 Networks and Communications

Relation: https://ieeexplore.ieee.org/document/10919044; http://hdl.handle.net/10547/626621; IEEE Sensors Journal

Availability: http://hdl.handle.net/10547/626621
https://doi.org/10.1109/JSEN.2025.3547736

Low-dimensional representation and prediction of supersonic gas-solid two-phase flow field based on CAE-BiLSTM

Authors: Liangliang Zhang Zhixun Xia Likun Ma et al.

Source: Results in Engineering, Vol 28, Iss , Pp 107165- (2025)

Subject Terms: Supersonic gas-solid two-phase flow field, Reduced-order model, Flow field prediction, Low-dimensional representation, Convolutional autoencoder, Bidirectional long short-term memory, Technology

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025032207; https://doaj.org/toc/2590-1230

Access URL: https://doaj.org/article/5651201443854389a6ad4ba30df84eac

Unsupervised defect detection for solar photovoltaic cells based on convolutional autoencoder.

Authors: Zhang, Yufei Zhang, Xu Tu, Dawei

Source: Nondestructive Testing & Evaluation. Dec2025, Vol. 40 Issue 12, p6143-6159. 17p.

Subject Terms: *PHOTOVOLTAIC cells, *ELECTROLUMINESCENCE, *IMAGE segmentation, *ARTIFICIAL neural networks, *OUTLIER detection, *LOSS functions (Statistics)

Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data

Authors: Subir Paul Vinayaraj Poliyapram Nevrez Imamoglu et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1426-1437 (2020)

Subject Terms: convolutional autoencoder (CAE), pear orchard, QC801-809, Geophysics. Cosmic physics, 0211 other engineering and technologies, deep learning, 04 agricultural and veterinary sciences, 02 engineering and technology, Canopy averaged chlorophyll content (CACC), Ocean engineering, hyperspectral (HS) data, 0401 agriculture, forestry, and fisheries, Gaussian process regression (GPR), TC1501-1800

Access URL: https://ieeexplore.ieee.org/ielx7/4609443/8994817/09050560.pdf
https://doaj.org/article/021ee32b52ce425c91b578ef0d36ccb1
https://ieeexplore.ieee.org/document/9050560/
https://ui.adsabs.harvard.edu/abs/2020IJSTA..13.1426P/abstract
http://eprints.iisc.ac.in/65531/
https://doi.org/10.1109/JSTARS.2020.2983000
https://dblp.uni-trier.de/db/journals/staeors/staeors13.html#PaulPIUNK20

Estimation of Damaged Surface Images in Drilled Unidirectional Carbon Fiber Reinforced Polymer Sheets Using Convolutional Autoencoder and Multi-Layer Perceptron Decoder.

Authors: Kurniawan, Eddy Hur, Yong Chan Kim, Ji Hoon

Source: Fibers & Polymers; Dec2025, Vol. 26 Issue 12, p5647-5660, 14p

ECG Identification Algorithm Based on CAE and Improved VGGNet

Authors: YAN Jie, ZHANG Yefei, ZHANG Xianfei

Source: Jisuanji gongcheng, Vol 51, Iss 1, Pp 295-303 (2025)

Subject Terms: electrocardiogram(ecg), ecg recognition, convolutional autoencoder(cae), residual network(resnet), signal preprocessing, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250132.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/77f8130553644b1db92b5a3276a49a8b

CW-CAE: Pulmonary Nodule Detection from Imbalanced Dataset Using Class-Weighted Convolutional Autoencoder

Authors: Seba Susan Dhaarna Sethi Kriti Arora

Source: Advances in Intelligent Systems and Computing ISBN: 9789811551475

Subject Terms: 3. Good health

Access URL: https://link.springer.com/chapter/10.1007%2F978-981-15-5148-2_71

PSO-MCAE-LCCD: Particle Swarm Optimized MobileNetV2 Convolutional Autoencoder for Lung and Colon Cancer Detection.

Authors: Kumar, L. K. Suresh Chakravarthy, K. Srinivasa Devi, M. Sathya et al.

Source: International Journal of Environmental Sciences (2229-7359); 2025, Vol. 11 Issue 6, p714-722, 9p

Subject Terms: LUNG cancer, COLON cancer, COMPUTER performance, HISTOPATHOLOGY, DEEP learning, CONVOLUTIONAL neural networks, PARTICLE swarm optimization, AUTOENCODERS

Image Enhancement using Hybrid Convolutional Autoencoder with Clahe Post Processing

Authors: null Pranika null Amandeep

Source: International Journal of Enhanced Research in Management & Computer Applications. 14:59-68