Výsledky vyhledávání - Modulated autoencoder*

Autoencoder with Constraints for Subsurface Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging

Autoři: Enosh Bandari Siva Subrahmanyam Oleti Y. Naga Prasanthi a další

Zdroj: Sensing and Imaging. 26

A Cross-Modal Autoencoder for Contactless Electrocardiography Monitoring Using Frequency-Modulated Continuous Wave Radar

Autoři: Kai-Chun Liu Sheng-Yu Peng Yu Tsao a další

Zdroj: IEEE Sensors Journal. 24:41462-41473

Multi-rate deep semantic image compression with quantized modulated autoencoder

Autoři: Dorsaf Sebai

Zdroj: 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP). :1-6

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Anomaly Detection Through Deep Feature Extraction for Automatic Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging.

Autoři: Yerneni, Naga Prasanthi Ghali, V. S. Swapna, M. N. a další

Zdroj: Russian Journal of Nondestructive Testing. Apr2025, Vol. 61 Issue 4, p481-489. 9p.

Témata: *DEEP learning, *AUTOENCODERS, *FEATURE extraction, *OUTLIER detection, *DEFECT tracking (Computer software development), *THERMOGRAPHY

Variable Rate Deep Image Compression With Modulated Autoencoder

Autoři: Fei Yang Luis Herranz Joost van de Weijer a další

Přispěvatelé: Fei Yang Luis Herranz Joost van de Weijer a další

Zdroj: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

Témata: FOS: Computer and information sciences, Decoding, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Image coding, Adaptation models, Distortion, 02 engineering and technology, Bit rate, Electrical Engineering and Systems Science - Image and Video Processing, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Training, Quantization (signal)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/pdf/1912.05526
http://arxiv.org/abs/1912.05526
https://arxiv.org/abs/1912.05526
http://export.arxiv.org/pdf/1912.05526
https://arxiv.org/pdf/1912.05526.pdf
https://ieeexplore.ieee.org/abstract/document/8977394
https://doi.org/10.1109/LSP.2020.2970539
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002247136411887
https://dblp.uni-trier.de/db/journals/corr/corr1912.html#abs-1912-05526
http://ui.adsabs.harvard.edu/abs/2020ISPL...27..331Y/abstract
https://ddd.uab.cat/record/274829
https://hdl.handle.net/2183/41940

A novel demodulation method of the channeled modulated polarization imaging pictures by hybrid feature modulated autoencoders

Autoři: Ning Zhang Mingfan Zhao Zhinan Zhang a další

Zdroj: Optics Express. 32:31473

Témata: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39573281

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

Autoři: Liu Y Wang X Li J a další

Zdroj: Current radiopharmaceuticals [Curr Radiopharm] 2025; Vol. 18 (3), pp. 224-243.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 101468718 Publication Model: Print Cited Medium: Internet ISSN: 1874-4729 (Electronic) Linking ISSN: 18744710 NLM ISO Abbreviation: Curr Radiopharm Subsets: MEDLINE

Výrazy ze slovníku MeSH: Nasopharyngeal Carcinoma*/diagnostic imaging , Nasopharyngeal Carcinoma*/radiotherapy , Nasopharyngeal Carcinoma*/pathology , Magnetic Resonance Imaging*/methods , Neoplasm Recurrence, Local*/diagnostic imaging , Nasopharyngeal Neoplasms*/diagnostic imaging , Nasopharyngeal Neoplasms*/radiotherapy , Nasopharyngeal Neoplasms*/pathology, Humans ; Female ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Radiotherapy, Intensity-Modulated ; Aged ; Deep Learning ; Autoencoder

Source Separation in Joint Communication and Radar Systems Based on Unsupervised Variational Autoencoder

Autoři: Khaled A. Alaghbari Heng Siong Lim Benzhou Jin a další

Zdroj: IEEE Open Journal of Vehicular Technology, Vol 5, Pp 56-70 (2024)

Témata: TA1001-1280, http://www.w3.org/1999/xlink' xmlns:ali='http://www.niso.org/schemas/ali/1.0/' xmlns:mml='http://www.w3.org/1998/Math/MathML' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' content-type='math' xlink:type='simple'> $\beta$ -VAE, generative models, HE379-380 Tunnels. Vehicular tunnels, Joint communication and radar sensing (JCR), 02 engineering and technology, Transportation engineering, 0202 electrical engineering, electronic engineering, information engineering, variational autoencoder (VAE), linear frequency modulated (LFM), Transportation and communications, RadCom, HE1-9990

Popis souboru: text

Přístupová URL adresa: https://doaj.org/article/a8add388e62e4b6e8e7f74c3d33579c1

Autoencoder with Constraints for Subsurface Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging.

Autoři: Bandari, Enosh Oleti, Siva Subrahmanyam Prasanthi, Y. Naga a další

Zdroj: Sensing & Imaging; 8/18/2025, Vol. 26 Issue 1, p1-17, 17p

Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients

Autoři: Peng Huang Jiawen Shang Yuhan Fan a další

Zdroj: Front Big Data
Frontiers in Big Data, Vol 7 (2024)

Témata: volumetric modulated arc therapy, Big Data, lung cancer, AutoEncoder, Information technology, T58.5-58.64, anomaly detection, radiotherapy

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39421134
https://doaj.org/article/99b35fd4222b45629ff9b314c806b312

Variable Rate Deep Image Compression With Modulated Autoencoder

Autoři: Yang, Fei Herranz, Luis Van de Weijer, Joost a další

Témata: Deep image compression, Variable bitrate, Autoencoder, Modulated autoencoder, journal article

URL: http://hdl.handle.net/2183/41940
https://doi.org/10.1109/LSP.2020.2970539
https://doi.org/10.1109/LSP.2020.2970539
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-102285-A-I00/ES/APRENDIZAJE PROFUNDO MULTIMODAL ESTRUCTURADO
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2016-79717-R/ES/APRENDIZAJE PROFUNDO MULTI-TAREA PARA RECONOCIMIENTO DE OBJETOS
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-88709-R/ES/DESARROLLO DE AGENTES DE NAVEGACION AUTONOMOS
info:eu-repo/grantAgreement/EC/H2020/665919

Applying deep generative model in plan review of intensity modulated radiotherapy.

Autoři: Huang, Peng Shang, Jiawen Fan, Yuhan a další

Zdroj: Medical Physics. Jun2025, Vol. 52 Issue 6, p4630-4641. 12p.

Témata: *INTENSITY modulated radiotherapy, *RADIOTHERAPY, *MEDICAL physics, *GENERATIVE adversarial networks, *GENERATIVE artificial intelligence, *OUTLIER detection, *MEDICAL dosimetry

Complex-Valued-Autoencoder for Structural Health Monitoring with Frequency Modulated Continuous Wave Radar

Autoři: Gaëtan Frusque Daniel Mitchell Jamie Blanche a další

Zdroj: Proceeding of the 33rd European Safety and Reliability Conference. :3064-3065

Témata: 7. Clean energy

Variable Rate Deep Image Compression with Modulated Autoencoder

Autoři: Yang, Fei Herranz, Luis van de Weijer, Joost a další

Témata: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1912.05526

Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario

Autoři: Ruijie Yang Dingjie Li Ying Li a další

Zdroj: Radiotherapy and Oncology. 161:230-240

Témata: Quality Assurance, Health Care, Gamma Rays, Radiotherapy Planning, Computer-Assisted, Humans, Radiotherapy Dosage, Radiotherapy, Intensity-Modulated, Radiometry, Sensitivity and Specificity

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34166717
https://pubmed.ncbi.nlm.nih.gov/34166717/
http://pubmed.ncbi.nlm.nih.gov/34166717/
https://www.sciencedirect.com/science/article/pii/S016781402106607X
https://europepmc.org/article/MED/34166717

Enhanced defect detection in thermography through temporal denoising and deep feature extraction using a shallow convolution autoencoder.

Autoři: Prasanthi, Y. Naga Ghali, V. S. Vesala, G. T. a další

Zdroj: Insight: Non-Destructive Testing & Condition Monitoring. Mar2025, Vol. 67 Issue 3, p162-171. 10p.

Context-Dependent Manifold Learning in Dynamical Systems: A Neuromodulated Constrained Autoencoder Approach

Autoři: Adriaens, Jérôme Drion, Guillaume Sacré, Pierre

Zdroj: Symmetry and Geometry in Neural Representations workshop, NeurIPS 2025, San Diego, United States - California [US-CA], Tuesday Dec 2nd through Sunday Dec 7th

Témata: Nonlinear dimensionality reduction, Neuromodulation, Context-dependent learning, Constrained autoencoder, Engineering, computing & technology, Ingénierie, informatique & technologie

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/336469

Denoising autoencoder with modulated lateral connections learns invariant representations of natural images

Autoři: Rasmus, Antti Raiko, Tapani Valpola, Harri

Témata: Computer Science - Neural and Evolutionary Computing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1412.7210

Autoencoder-Based Target Detection in Automotive MIMO FMCW Radar System

Autoři: Sung-wook Kang Min-ho Jang Seongwook Lee

Zdroj: Sensors, Vol 22, Iss 15, p 5552 (2022)

Témata: autoencoder, constant false alarm rate, frequency-modulated continuous wave radar, multiple-input and multiple-output, target detection, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/15/5552; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/ce7e90ac0edc4989bd14ca4222a775cf

Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model.

Autoři: Zou Y Li Z Zhang M a další

Zdroj: Medical physics [Med Phys] 2025 Sep; Vol. 52 (9), pp. e18120.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

Výrazy ze slovníku MeSH: Radiotherapy Planning, Computer-Assisted*/methods , Nasopharyngeal Neoplasms*/radiotherapy , Nasopharyngeal Neoplasms*/diagnostic imaging, Humans ; Tomography, X-Ray Computed ; Organs at Risk/radiation effects ; Neural Networks, Computer ; Autoencoder