Výsledky vyhľadávania - complex-valued convolutional autoencoder

An Attention Based Complex-valued Convolutional Autoencoder for GEO SA-Bi SAR Ship Target Refocusing

Autori: Meng Lian Miodrag Bolic

Zdroj: 2023 IEEE Sensors Applications Symposium (SAS). :1-6

SAR Images Unsupervised Feature Abstraction with A Complex-valued Convolutional Autoencoder

Autori: Jinling He Sirui Tian Chao Wang a ďalší

Zdroj: 2021 SAR in Big Data Era (BIGSARDATA). :1-4

Prístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9574285
http://xplorestaging.ieee.org/ielx7/9574102/9574125/09574285.pdf?arnumber=9574285

Complex-Valued Convolutional Autoencoder and Spatial Pixel-Squares Refinement for Polarimetric SAR Image Classification

Autori: Ronghua Shang Guangguang Wang Michael A. Okoth a ďalší

Zdroj: Remote Sensing, Vol 11, Iss 5, p 522 (2019)

Predmety: complex-valued convolutional autoencoder, PolSAR image classification, spatial pixel-squares refinement, deep learning, Science

Popis súboru: electronic resource

Relation: http://www.mdpi.com/2072-4292/11/5/522; https://doaj.org/toc/2072-4292

Prístupová URL adresa: https://doaj.org/article/07bf32964c3942d499337bf71c9e5a9a

Deep-Learning-Based Dictionary Construction for MIMO Radar Detection in Complex Scenes

Autori: Hongyan Wang He Zhou Qinghua Guo a ďalší

Zdroj: IEEE Internet of Things Journal. 11:12419-12434

Predmety: nonlinear correction, Multiple-input multiple-output (MIMO) radar, transceiving space-time resource allocation, sparse representation, complex-valued convolutional autoencoder

Graph-informed convolutional autoencoder to classify brain responses during sleep.

Autori: Zakeri, Sahar Makouei, Somayeh Danishvar, Sebelan

Zdroj: Frontiers in Neuroscience; 2025, p1-24, 24p

Predmety: CONVOLUTIONAL neural networks, SLEEP, RAPID eye movement sleep, AUDITORY perception, AUTOENCODERS

Complex-Valued Autoencoders with Coherence Preservation for SAR

Autori: Mohammadi Asiyabi, Reza Datcu, Mihai Anghel, Andrei a ďalší

Zdroj: EUSAR 2022

Predmety: Phase Coherency Preservation, Signal Processing, H2020, Sensor Systems, Complex-Valued Autoencoders, Information Extraction, Synthetic Aperture Radar, MENELAOS_NT

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data.

Autori: Di Gao Guanghao Yang Jiarun Shen a ďalší

Zdroj: Frontiers in Computational Neuroscience; 2024, p01-12, 12p

Predmety: HEALTH risk assessment, FUNCTIONAL magnetic resonance imaging, VALUE engineering, EXTRACTION techniques, DATA mining

Physiological Signal-Based Real-Time Emotion Recognition Based on Exploiting Mutual Information with Physiologically Common Features

Autori: Ean-Gyu Han Tae-Koo Kang Myo-Taeg Lim

Zdroj: Electronics; Volume 12; Issue 13; Pages: 2933

Predmety: 03 medical and health sciences, 0302 clinical medicine, emotion recognition, physiological signal, PPG, EMG, multimodal network, convolutional autoencoder, short-time Fourier transform (STFT), complex-valued convolutional neural network (CVCNN), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: application/pdf

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery

Autori: Gopalakrishnan, Anand Stanić, Aleksandar Schmidhuber, Jürgen a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2405.17283

Fast Dual Deep Convolutional Autoencoder Network for Denoising Monte Carlo Rendering.

Autori: Alzbier, Ahmed Mustafa Taha Chunyi Chen Zhongye Shen a ďalší

Zdroj: Journal of Imaging Science & Technology; May/Jun2023, Vol. 67 Issue 3, p1-12, 12p

Predmety: DEEP learning, CONVOLUTIONAL neural networks, PIXELS, IMAGE reconstruction, SIGNAL-to-noise ratio

Fast Full-Wave Electromagnetic Forward Solver Based On Deep Conditional Convolutional Autoencoders

Autori: Zhang, Huan Huan Yao, He Ming Jiang, Lijun a ďalší

Zdroj: Electrical and Computer Engineering Faculty Research & Creative Works

Predmety: Convolutional neural network (CNN), deep learning (DL), electromagnetic forward (EMF) process, real time, Electrical and Computer Engineering

Popis súboru: application/pdf

Relation: https://scholarsmine.mst.edu/ele_comeng_facwork/5203; https://scholarsmine.mst.edu/context/ele_comeng_facwork/article/6232/viewcontent/Fast_Full_Wave_Electromagnetic_Forward_Solver_Based_on_Deep_Conditional_Convolutional_Autoencoders.pdf

Dostupnosť: https://scholarsmine.mst.edu/ele_comeng_facwork/5203
https://doi.org/10.1109/LAWP.2022.3224983
https://scholarsmine.mst.edu/context/ele_comeng_facwork/article/6232/viewcontent/Fast_Full_Wave_Electromagnetic_Forward_Solver_Based_on_Deep_Conditional_Convolutional_Autoencoders.pdf

FDC-TA-DSN Ship Classification Model and Dataset Construction Based on Complex-Valued SAR

Autori: Gui Gao Yucong He Jinghao Zhao a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 7034-7047 (2025)

Predmety: Ocean engineering, ship classification, QC801-809, Phase information, Geophysics. Cosmic physics, synthetic aperture radar (SAR), TC1501-1800

Prístupová URL adresa: https://doaj.org/article/8e607a9a3de246cca2f05bdad440500f

A DEEP LEARNING CNN APPROACH WITH UNIFIED FEATURE EXTRACTION FOR BREAST CANCER DETECTION AND CLASSIFICATION.

Autori: GANDHI, ONGOLE S. N., TIRUMALA RAO KRISHNA PRASAD, MUNAGA H. M.

Zdroj: i-Manager's Journal on Image Processing; Jun2025, Vol. 12 Issue 2, p1-15, 15p

Predmety: CONVOLUTIONAL neural networks, DEEP learning, COMPUTER-aided diagnosis, SUPPORT vector machines, BREAST cancer

Monaural cardiopulmonary sound separation via complex-valued deep autoencoder and cyclostationarity.

Autori: Yang, Chunjian Hu, Nan Xu, Dongyang a ďalší

Zdroj: Biomedical Physics & Engineering Express; 5/1/2023, Vol. 9 Issue 3, p1-10, 10p

A Fine PolSAR Terrain Classification Algorithm Using the Texture Feature Fusion-Based Improved Convolutional Autoencoder.

Autori: Ai, Jiaqiu Wang, Feifan Mao, Yuxiang a ďalší

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; Feb2022, Vol. 60, p1-14, 14p

Predmety: CLASSIFICATION algorithms, SYNTHETIC aperture radar, SYNTHETIC apertures, TEXTURES

Geografický termín: SAN Francisco (Calif.)

Complex-Valued Convolutional Autoencoder and Spatial Pixel-Squares Refinement for Polarimetric SAR Image Classification.

Autori: Shang, Ronghua Wang, Guangguang A. Okoth, Michael a ďalší

Zdroj: Remote Sensing; 3/1/2019, Vol. 11 Issue 5, p522, 1p

Predmety: POLARIMETRIC remote sensing, SYNTHETIC aperture radar, DEEP learning, FEATURE extraction, IMAGING systems

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.

Autori: Sahani, Mrutyunjaya Rout, Susanta Kumar Dash, Pradipta Kishor

Zdroj: IEEE Transactions on Biomedical Circuits & Systems; Jun2021, Vol. 16 Issue 3, p595-605, 11p

CWAOA: CHRONOLOGICAL WALRUSES BEHAVIOR OPTIMIZATION AND DEEP LEARNING FOR MEDICAL IMAGE DENOISING.

Autori: Sehgal, Rashmita Kaushik, Vandana Dixit

Zdroj: Biomedical Engineering: Applications, Basis & Communications; Aug2025, Vol. 37 Issue 4, p1-17, 17p

Predmety: INFINITE impulse response filters, CONVOLUTIONAL neural networks, COLOR image processing, COMPUTER-aided diagnosis, PATTERN recognition systems, DEEP learning, THRESHOLDING algorithms, METAHEURISTIC algorithms

Learning and Visualizing Modulation Discriminative Radio Signal Features

Autori: Walton,Michael Gebhardt,Daniel Migliori,Benjamin a ďalší

Prispievatelia: Walton,Michael Gebhardt,Daniel Migliori,Benjamin a ďalší

Predmety: Operations Research, Computer Systems Management and Standards, Cybernetics, semisupervised learning, signal processing, radio signals, coders, automation, artificial neural networks, tied-weight CAE(convolutional autoencoder), complex-valued temporal domain radio signals, online semi-supervised learning, class activation maps, modulation-discriminative temporal structure, automated modulation classification, BIAS (Biologically Inspired Autonomous Sensing) project

Popis súboru: text/html

Relation: http://www.dtic.mil/docs/citations/AD1022600

Dostupnosť: http://www.dtic.mil/docs/citations/AD1022600
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1022600

Radar Active Jamming Recognition under Open World Setting.

Autori: Zhang, Yupei Zhao, Zhijin Bu, Yi

Zdroj: Remote Sensing; Aug2023, Vol. 15 Issue 16, p4107, 24p

Predmety: RADAR interference, CONVOLUTIONAL neural networks