Výsledky vyhľadávania - Conventional neural network (CNN) Overcomplete Autoencoder application*

Enhancing Border Learning for Better Image Denoising.

Autori: Ge, Xin Zhu, Yu Qi, Liping a ďalší

Zdroj: Mathematics (2227-7390); Apr2025, Vol. 13 Issue 7, p1119, 30p

Predmety: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, AUTOENCODERS, IMAGE denoising, LEARNING ability

Application of 1D ResNet for Multivariate Fault Detection on Semiconductor Manufacturing Equipment †.

Autori: Tchatchoua, Philip Graton, Guillaume Ouladsine, Mustapha a ďalší

Zdroj: Sensors (14248220); Nov2023, Vol. 23 Issue 22, p9099, 19p

Predmety: SEMICONDUCTOR manufacturing, CONVOLUTIONAL neural networks, MANUFACTURING processes, SEMICONDUCTOR wafers, SEMICONDUCTOR industry

Face recognition algorithm using collaborative sparse representation based on CNN features.

Alternate Title: 基于 CNN 特征的协同稀疏表示人脸识别算法. (Chinese)

Autori: ZHAO, Shilin XU, Chengjun LIU, Changrong

Zdroj: Journal of Measurement Science & Instrumentation; Mar2025, Vol. 16 Issue 1, p85-95, 11p

Predmety: CONVOLUTIONAL neural networks, DEEP learning, DATABASES, ENCYCLOPEDIAS & dictionaries, ALGORITHMS

A Novel Hybrid Machine Learning-Based System Using Deep Learning Techniques and Meta-Heuristic Algorithms for Various Medical Datatypes Classification.

Autori: Kadhim, Yezi Ali Guzel, Mehmet Serdar Mishra, Alok

Zdroj: Diagnostics (2075-4418); Jul2024, Vol. 14 Issue 14, p1469, 25p

Predmety: COMPUTER-aided diagnosis, METAHEURISTIC algorithms, CONVOLUTIONAL neural networks, DEEP learning, COMPUTER science

Feature extraction of fields of fluid dynamics data using sparse convolutional autoencoder.

Autori: Obayashi, Wataru Aono, Hikaru Tatsukawa, Tomoaki a ďalší

Zdroj: AIP Advances; Oct2021, Vol. 11 Issue 10, p1-6, 6p

Predmety: FLUID dynamics, FEATURE extraction, PROPER orthogonal decomposition, NAVIER-Stokes equations, CONVOLUTIONAL neural networks, UNSTEADY flow, COMPRESSIBLE flow

Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network.

Autori: Mei, Shaohui Jiang, Ruituo Li, Xu a ďalší

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; Jul2020, Vol. 58 Issue 7, p4590-4603, 14p

Predmety: CONVOLUTIONAL neural networks, SPECTRAL imaging

Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers.

Autori: Marivani, Iman Tsiligianni, Evaggelia Cornelis, Bruno a ďalší

Zdroj: IEEE Transactions on Circuits & Systems for Video Technology; Sep2022, Vol. 32 Issue 9, p5830-5845, 16p

Predmety: IMAGE reconstruction, IMAGE fusion, CONVOLUTIONAL neural networks, DEEP learning

Mapping the BCPNN Learning Rule to a Memristor Model.

Autori: Wang, Deyu Xu, Jiawei Stathis, Dimitrios a ďalší

Zdroj: Frontiers in Neuroscience; 12/9/2021, Vol. 15, p1-16, 16p

Predmety: CONVOLUTIONAL neural networks, ANALOG circuits, MACHINE learning

Towards scanning electron microscopy image denoising: a state-of-the-art overview, benchmark, taxonomies, and future direction.

Autori: Rahman, Sheikh Shah Mohammad Motiur Salomon, Michel Dembélé, Sounkalo

Zdroj: Machine Vision & Applications; Jul2024, Vol. 35 Issue 4, p1-20, 20p

Unsupervised Deep Embedded Clustering for High-Dimensional Visual Features of Fashion Images.

Autori: Malhi, Umar Subhan Zhou, Junfeng Yan, Cairong a ďalší

Zdroj: Applied Sciences (2076-3417); Mar2023, Vol. 13 Issue 5, p2828, 18p

Predmety: CONVOLUTIONAL neural networks

CNN-Based Super-Resolution of Hyperspectral Images.

Autori: Arun, P. V. Buddhiraju, Krishna Mohan Porwal, Alok a ďalší

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; Sep2020, Vol. 58 Issue 9, p6106-6121, 16p

Predmety: HIGH resolution imaging, CONVOLUTIONAL neural networks, IMAGE intensifiers, HYPERCUBES, THRESHOLDING algorithms, COST functions, RANDOM matrices

Hyperspectral Image Denoising Using a 3-D Attention Denoising Network.

Autori: Shi, Qian Tang, Xiaopei Yang, Taoru a ďalší

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; Dec2021, Vol. 59 Issue 12, p10348-10363, 16p

Predmety: CONVOLUTIONAL neural networks, IMAGE denoising, DEEP learning, HYPERSPECTRAL imaging systems, BRANCHING processes, MARKOV random fields, PARALLEL processing

Infrared and visible image fusion based on global context network.

Autori: Li, Yonghong Shi, Yu Pu, Xingcheng a ďalší

Zdroj: Journal of Electronic Imaging; Sep2024, Vol. 33 Issue 5, p53016-14, 1p

Predmety: CONVOLUTIONAL neural networks, INFRARED technology, INFRARED imaging, TRANSFORMER models, HEAT radiation & absorption, DEEP learning, IMAGE fusion

Self-supervised structural similarity-based convolutional neural network for cardiac diffusion tensor image denoising.

Autori: Yuan N Wang L Ye C a ďalší

Zdroj: Medical physics [Med Phys] 2023 Oct; Vol. 50 (10), pp. 6137-6150. Date of Electronic Publication: 2023 Apr 17.

Spôsob vydávania: Journal Article

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

Výrazy zo slovníka MeSH: Diffusion Tensor Imaging* , Neural Networks, Computer*, Humans ; Algorithms ; Signal-To-Noise Ratio ; Heart/diagnostic imaging ; Image Processing, Computer-Assisted/methods

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.

Autori: Chen, Hao Ni, Dong Qin, Jing a ďalší

Zdroj: IEEE Journal of Biomedical & Health Informatics; Sep2015, Vol. 19 Issue 5, p1627-1636, 10p

Predmety: FETAL ultrasonic imaging, ULTRASONICS in obstetrics, NEURAL circuitry, ELECTROPHYSIOLOGY, NERVOUS system

Driving posture recognition by convolutional neural networks.

Autori: Chao Yan Frans Coenen Bailing Zhang

Zdroj: IET Computer Vision (Wiley-Blackwell); 2016, Vol. 10 Issue 2, p103-114, 12p

Predmety: AUTOMOBILE driving, POSTURE, HUMAN body, TRAFFIC accidents, NEURAL circuitry

Hyperspectral image denoising via self-modulated cross-attention deformable convolutional neural network.

Autori: Wang, Ying Qiu, Jie Zhao, Yanxiang

Zdroj: Journal of Electronic Imaging; Jul/Aug2024, Vol. 33 Issue 4, p43015-22, 1p

Predmety: CONVOLUTIONAL neural networks, IMAGE denoising, REMOTE sensing, LIGHT intensity, COMPARATIVE method

Deep Medical Image Reconstruction with Autoencoders using Deep Boltzmann Machine Training.

Autori: S., Saravanan Juliet, Sujitha

Zdroj: EAI Endorsed Transactions on Pervasive Health & Technology; 2020, Vol. 6 Issue 24, p1-9, 9p

Predmety: MACHINE learning, LOGISTIC regression analysis, STAKEHOLDERS, COMPARATIVE studies, ELECTRONIC health records

An Untrained Neural Network Prior for Light Field Compression.

Autori: Jiang, Xiaoran Shi, Jinglei Guillemot, Christine

Zdroj: IEEE Transactions on Image Processing; 2022, Vol. 31, p6922-6936, 15p

Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection.

Autori: Zhang, Lili Cheng, Baozhi

Zdroj: IEEE Geoscience & Remote Sensing Letters; Dec2020, Vol. 17 Issue 12, p2115-2119, 5p