Výsledky vyhledávání - "(conditional OR conditioning) variational (autoencoder(cave)" OR autoencoder(cae)")

CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation

Autoři: Shivalila Hangaragi N. Neelima Vivek Venugopal a další

Zdroj: Alexandria Engineering Journal, Vol 115, Iss, Pp 343-354 (2025)

Témata: Synthetic image generation, SSIM, Convolutional autoencoder, Convolutional neural network, TA1-2040, Engineering (General). Civil engineering (General), Lung cancer classification

Přístupová URL adresa: https://doaj.org/article/aa4d4ade397444fc9203f24c4f07ede9

Sensor-Driven Surrogate Modeling and Control of Nonlinear Dynamical Systems Using FAE-CAE-LSTM and Deep Reinforcement Learning

Autoři: Kherad, M. Moayyedi, M. K. Fotouhi-Ghazvini, F. a další

Zdroj: Sensors. 25(16)

Témata: Autoencoders, Control Of Dynamical Systems, Cyber-physical Systems, Deep Reinforcement Learning, Long Short-term Memory, Sensor-driven Modeling, Circular Cylinders, Computer Control Systems, Convolution, Dynamical Systems, Dynamics, Embedded Systems, Flow Control, Fuel Additives, Nonlinear Dynamical Systems, Real Time Control, Robust Control, Auto Encoders, Control Of Dynamical System, Cybe-physical Systems, High-dimensional, Higher-dimensional, Reinforcement Learning Agent, Reinforcement Learnings, Short Term Memory

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-73172
https://doi.org/10.3390/s25165149

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

Autoři: D Agalya S. Kamalakkannan

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

HD-CAE: hybrid encoding and deformable decoding autoencoder with cascade attention for visual anomaly detection

Autoři: Santosh Prakash Chouhan Mahua Bhattacharya Gopal Krishna Sharma

Zdroj: Signal, Image and Video Processing. 19

CAE-Net: Enhanced Converting Autoencoder Based Framework for Low-Latency Energy-Efficient DNN with SLO-Constraints

Autoři: Hasanul Mahmud Peng Kang Palden Lama a další

Zdroj: 2024 IEEE Cloud Summit. :128-134

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

Autoři: Kecong Wu Lirong Chen Yalige Bai a další

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

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

Přístupová URL adresa: https://doaj.org/article/94424c5cfbc34885963f0ffe4a93a78c

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

Autoři: Tusneem Elhassan Ahmed Hamza Osman Mohd Shafry Mohd Rahim a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/57a51be9afa9498481b3afe15b315454

CAE-MAS: Convolutional Autoencoder Interference Cancellation for Multiperson Activity Sensing With FMCW Microwave Radar

Autoři: Hossein Raeis Mohammad Kazemi Shervin Shirmohammadi

Zdroj: IEEE Transactions on Instrumentation and Measurement. 73:1-10

CAE_AD: Unsupervised Time Series Anomaly Detection Method Based on Convolutional Autoencoder

Zdroj: Journal of Image and Signal Processing. 13:21-32

A CAE model-based secure deduplication method.

Autoři: Wang, Chunbo Zhang, Guoying Qi, Hui a další

Zdroj: Scientific Reports. 7/9/2025, Vol. 15 Issue 1, p1-11. 11p.

Témata: *CLOUD storage, *AUTOENCODERS, *DATA encryption, *PRIVACY, *DATA compression

Convolutional autoencoder network lithology recognition based on scratch tests

Autoři: Suling Wang Zhihui Ren Kangxing Dong a další

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

Témata: Continental shale, Lithology recognition, Scratch tests, Recognition size, CAE network, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/f7f862af682241f488ef0ed868100a5f

CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation.

Autoři: Hangaragi, Shivalila Neelima, N. Venugopal, Vivek a další

Zdroj: Alexandria Engineering Journal. Mar2025, Vol. 115, p343-354. 12p.

Témata: Convolutional neural networks, Machine learning, Computer-assisted image analysis (Medicine), Autoencoder, Databases, Deep learning

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

Autoři: Jessica da Silva Costa Hideo Araki

Zdroj: Anuário do Instituto de Geociências. 47

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

Autoři: Zheng Han Guanping Long Changli Li a další

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

Témata: 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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/3e10f6e71d724d5a922f6d9c77ca1330

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

Autoři: Liangliang Zhang Zhixun Xia Likun Ma a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/5651201443854389a6ad4ba30df84eac

Convolutional Autoencoder Effect on Parallel Magnetic Resonance Imaging.

Autoři: Korti, Amel Bekki, Amène Lalande, Alain

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

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

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.

Autoři: AKKUŞ, Merve KARABATAK, Murat

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

ECG Identification Algorithm Based on CAE and Improved VGGNet

Autoři: YAN Jie, ZHANG Yefei, ZHANG Xianfei

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/77f8130553644b1db92b5a3276a49a8b

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

Autoři: Mohammed Mansoor Alhammadi

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

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

Přístupová URL adresa: https://doaj.org/article/e9df85c84bfc4fee8a5a49bf1b184bee

Enhanced multiple sclerosis diagnosis by MRI image retrieval using convolutional autoencoders

Autoři: R.M. Haggag Eman M. Ali M.E. Khalifa a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/8aaf2aa32ee4425c8aa7a83d797d3cff