Search Results - "(conditional OR conditioning) variational (autoencoder（cvae）*" OR autoencoder（cae）*")

CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction

Authors: Debasish Jana Jayant Patil Sudheendra Herkal et al.

Source: Mechanical Systems and Signal Processing. 169:108723

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

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

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

Multi-perspective Learning Based on Transformer for Stock Price Trend

Authors: Xiliang Li Shuoru Chen Xiaoyan Qiao et al.

Source: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-18 (2025)

Subject Terms: Technical indicators, Multi-factor model, Transformer, Convolutional autoencoder (CAE), Stock trend prediction, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1875-6883

Access URL: https://doaj.org/article/f4ccb21d10bc421492b489485a652be0

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

A study on hybrid-architecture deep learning model for predicting pressure distribution in 2D airfoils

Authors: Jaehyun Yoon Jaehyeok Doh

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

Subject Terms: Convolutional autoencoder (CAE), Convolutional neural networks (CNN), Fully-connected neural networks (FNN), Computational fluid dynamics (CFD), Medicine, Science

File Description: electronic resource

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

Access URL: https://doaj.org/article/c93aa0848de6482c9c0328655d316b71

基于地理过程的土壤侵蚀分区模型构建与应用.

Alternate Title: Construction and application of a soil erosion regionalization model based on geographical processes.

Authors: 刘瑞祥 周艳兵 潘瑜春 et al.

Source: Transactions of the Chinese Society of Agricultural Engineering. Sep2025, Vol. 14 Issue 18, p132-139. 8p.

Subject Terms: *LONG short-term memory, *SELF-organizing maps, *K-means clustering, *SOIL classification, *BLACK cotton soil, *SOIL erosion, *EROSION

Biometric Authentication with ECG Signals: A Secure Identification Model Based on Convolutional Autoencoders.

Alternate Title: EKG Sinyalleriyle Biyometrik Kimlik Doğrulama: Evrişimsel Otokoderlere Dayalı Güvenli Bir Kimlik Doğrulama Modeli.

Authors: AKKUŞ, Merve KARABATAK, Murat

Source: Firat University Journal of Science. 2025, Vol. 37 Issue 2, p67-78. 12p.

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

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

Authors: Choi, YuRim Joe, Inwhee

Source: Electronics (2079-9292); Oct2024, Vol. 13 Issue 19, p3946, 29p

Subject Terms: ARTIFICIAL neural networks, REAL-time computing, ELECTRIC faults, FAULT diagnosis, SYSTEM analysis, ELECTRIC motors

Unsupervised Feature Extraction From Raw Data for Gesture Recognition With Wearable Ultralow-Power Ultrasound

Authors: Sergei Vostrikov Matteo Anderegg Luca Benini et al.

Source: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 71:831-841

Subject Terms: Male, Adult, Gestures, Signal Processing, Computer-Assisted, Hand, Armband, convolutional autoencoder (CAE), hand gesture recognition (HGR), wearable ultrasound (US), Pattern Recognition, Automated, Wearable Electronic Devices, Young Adult, Humans, Female, Algorithms, Ultrasonography, Unsupervised Machine Learning

Access URL: https://pubmed.ncbi.nlm.nih.gov/38787674

Surrogate Modeling of Hydrogen-Enriched Combustion Using Autoencoder-Based Dimensionality Reduction

Authors: Lanfei Zhang Xu Chu Siyu Ding et al.

Source: Processes ; Volume 13 ; Issue 4 ; Pages: 1093

Subject Terms: reduced order model (ROM), hydrogen-enriched combustion, convolutional autoencoder (CAE), fully connected autoencoder (FCAE), hyperparameter setting

Subject Geographic: agris

File Description: application/pdf

Relation: Process Control and Monitoring; https://dx.doi.org/10.3390/pr13041093

Availability: https://doi.org/10.3390/pr13041093

Defect Detection for Enhanced Traceability in Naval Construction

Authors: Paula Arcano-Bea Manuel Rubiños Agustín García-Fischer et al.

Source: Sensors ; Volume 25 ; Issue 4 ; Pages: 1077

Subject Terms: convolutional autoencoders (CAEs), anomaly detection, shipbuilding, quality control, unsupervised learning

File Description: application/pdf

Relation: Fault Diagnosis & Sensors; https://dx.doi.org/10.3390/s25041077

Availability: https://doi.org/10.3390/s25041077

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

Segmentation of Satellite Images Using Contractive Autoencoder (CAE) Aided Deep Learning Approach

Authors: Kandarpa Kumar Sarma Manami Barthakur

Source: Lecture Notes in Networks and Systems ISBN: 9789811606946

Access URL: https://link.springer.com/chapter/10.1007/978-981-16-0695-3_62

Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection

Authors: Bergamasco, Luca Bovolo, Francesca Bruzzone, Lorenzo

Contributors: Bergamasco, Luca Bovolo, Francesca Bruzzone, Lorenzo

Source: IEEE Transactions on Geoscience and Remote Sensing. 62:1-16

Subject Terms: Convolutional autoencoder (CAE), deep learning (DL), hierarchical loss function, multiresolution, multitemporal analysis, unsupervised change detection (CD), unsupervised learning

File Description: application/pdf

Access URL: https://hdl.handle.net/11572/423695
https://ieeexplore.ieee.org/document/10623208
https://doi.org/10.1109/tgrs.2024.3438465

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

Data-driven pressure field prediction for ships in regular sea states.

Authors: Loft, Malte Schwarz, Henning Rung, Thomas

Source: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-19, 19p

CTWA: a novel incremental deep learning-based intrusion detection method for the Internet of Things.

Authors: Wang, Haizhen Yang, Yutong Tan, Pan

Source: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-24, 24p

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