Výsledky vyhledávání - "3D convolutional autoencoder"

Enhancing Peer-to-Peer Network Security using 3D Convolutional Autoencoder based Anomaly Detection

Autoři: Rana Veer Samara Sihman Bharattej R Zaid Ajznblasm E. G. Satish a další

Zdroj: 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). :1-5

Data‐Driven Detection of Internal Erosion Initiation in Gap‐Graded Soils: Combining Particle‐Scale CFD‐DEM Simulation With 3D Convolutional Autoencoder

Autoři: Jie Qi Negin Yousefpour Guillermo A. Narsilio a další

Zdroj: International Journal for Numerical and Analytical Methods in Geomechanics.

Research on 3D convolutional autoencoder enhanced metro abnormal behavior detection based on multi-level attentional memory

Autoři: Run Ye Kun Zhang Cheng Zhang a další

Zdroj: Multimedia Tools and Applications. 84:23861-23879

Efficient Hyperspectral Data Compression using 3D Convolutional Autoencoder

Autoři: Afsana Afrin Md. Al Mamun

Zdroj: 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). :1-5

Learning Unsupervised Visual Representations using 3D Convolutional Autoencoder with Temporal Contrastive Modeling for Video Retrieval

Autoři: Vidit Kumar Vikas Tripathi Bhaskar Pant

Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 7, Iss 2, Pp 272-287 (2022)

Témata: content-based search, Technology, contrastive learning, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, deep learning, 02 engineering and technology, video retrieval, unsupervised learning, convolutional autoencoder, future prediction, Mathematics

Přístupová URL adresa: https://doaj.org/article/f0ea4cbe295b43d3bac47453f7ed0db2

Learning Spatiotemporal Features for Movie Scene Retrieval Using a 3D Convolutional Autoencoder

Autoři: Vidit Kumar Vikas Tripathi Bhaskar Pant

Zdroj: Computational Intelligence in Analytics and Information Systems ISBN: 9781003332312

The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization

Autoři: Feng Xu Zhiyong Li Bo Wen a další

Zdroj: Geofluids, Vol 2021 (2021)

Témata: QE1-996.5, Geology, 01 natural sciences, 3. Good health, 0105 earth and related environmental sciences

Popis souboru: text/xhtml

Přístupová URL adresa: https://downloads.hindawi.com/journals/geofluids/2021/6650823.pdf
https://doaj.org/article/4d1b193c6ba045a2ae2f0dac472bae54
http://downloads.hindawi.com/journals/geofluids/2021/6650823.pdf
https://downloads.hindawi.com/journals/geofluids/2021/6650823.pdf
https://www.hindawi.com/journals/geofluids/2021/6650823/

Spatial–Spectral Joint Hyperspectral Anomaly Detection Based on a Two-Branch 3D Convolutional Autoencoder and Spatial Filtering

Autoři: Shuai Lv Siwei Zhao Dandan Li a další

Zdroj: Remote Sensing, Vol 15, Iss 10, p 2542 (2023)

Témata: hyperspectral image, anomaly detection, 3D convolutional autoencoder, spatial–spectral joint information, spatial filtering, Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/15/10/2542; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/5fe2e6f1e37d4e21a18d268e1067c8f9

Parametric 3D Convolutional Autoencoder for the Prediction of Flow Fields in a Bed Configuration of Hot Particles

Autoři: Mjalled, Ali Namdar, Reza Reineking, Lucas a další

Témata: Fluid Dynamics (physics.flu-dyn), FOS: Mathematics, FOS: Physical sciences, Physics - Fluid Dynamics, Dynamical Systems (math.DS), Mathematics - Dynamical Systems

Přístupová URL adresa: http://arxiv.org/abs/2307.02960

Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification

Autoři: Shaohui Mei Jingyu Ji Yunhao Geng a další

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 57:6808-6820

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902234596262382
https://ieeexplore.ieee.org/document/8694830
https://doi.org/10.1109/TGRS.2019.2908756
http://ui.adsabs.harvard.edu/abs/2019ITGRS..57.6808M/abstract
https://dblp.uni-trier.de/db/journals/tgrs/tgrs57.html#MeiJGZLD19

End-to-end joint spectral–spatial compression and reconstruction of hyperspectral images using a 3D convolutional autoencoder

Autoři: Yanwen Chong Linwei Chen Shaoming Pan

Zdroj: Journal of Electronic Imaging. 30

Témata: 03 medical and health sciences, 0302 clinical medicine, 0103 physical sciences, 01 natural sciences

Přístupová URL adresa: https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-30/issue-04/041403/End-to-end-joint-spectralspatial-compression-and-reconstruction-of-hyperspectral/10.1117/1.JEI.30.4.041403.full
https://doi.org/10.1117/1.jei.30.4.041403
https://ui.adsabs.harvard.edu/abs/2021JEI....30d1403C/abstract
https://dblp.uni-trier.de/db/journals/jei/jei30.html#ChongCP21

An Attention-Based 3D Convolutional Autoencoder for Few-Shot Hyperspectral Unmixing and Classification

Autoři: Chunyu Li Rong Cai Junchuan Yu

Zdroj: Remote Sensing, Vol 15, Iss 2, p 451 (2023)

Témata: hyperspectral, unmixing, autoencoder, deep learning, few-shot, classification, Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/15/2/451; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/447a0868f3724b1d8bff5643a1b83879

Data‐Driven Detection of Internal Erosion Initiation in Gap‐Graded Soils: Combining Particle‐Scale CFD‐DEM Simulation With 3D Convolutional Autoencoder.

Autoři: Qi, Jie Yousefpour, Negin Narsilio, Guillermo A. a další

Zdroj: International Journal for Numerical & Analytical Methods in Geomechanics; Dec2025, Vol. 49 Issue 17, p4225-4247, 23p

Témata: EROSION, DEEP learning, DISCRETE element method, EARTH dams, SOIL cohesion, SOIL erosion, MICROSCOPICAL technique

Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO3

Autoři: Hirotaka Manaka Shoutarou Katayama Soichiro Honda a další

Zdroj: Science and Technology of Advanced Materials: Methods, Vol 5, Iss 1 (2025)

Témata: LSTM, temperature series principal component analysis, 3D convolutional autoencoder, temperature series forest, stress-induced ferroelectricity, SrTiO3, Materials of engineering and construction. Mechanics of materials, TA401-492

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2766-0400

Přístupová URL adresa: https://doaj.org/article/3a6056fe20754fb79f302220391b0037

Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder

Autoři: Ekaterina Kalinicheva Jérémie Sublime Maria Trocan

Zdroj: Remote Sensing, Vol 12, Iss 11, p 1816 (2020)

Témata: satellite image time series, unsupervised learning, clustering, segmentation, 3D convolutional network, autoencoder, Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/12/11/1816; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/924ac67a95f24211919af28f7323daf5

Research on 3D convolutional autoencoder enhanced metro abnormal behavior detection based on multi-level attentional memory.

Autoři: Ye, Run Zhang, Kun Zhang, Cheng a další

Zdroj: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p23861-23879, 19p

Témata: AUTOENCODERS, DEEP learning, PASSENGER traffic, SUBWAYS, PROBLEM solving, TRAFFIC monitoring, PEDESTRIANS

Detecting spatiotemporal irregularities in videos via a 3D convolutional autoencoder

Autoři: Mengjia Yan Jingjing Meng Chunluan Zhou a další

Zdroj: Journal of Visual Communication and Image Representation. 67:102747

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Explainable machine learning algorithm predicting working memory performance in Parkinson’s disease using task-fMRI.

Autoři: Yasuda, Eiji Hattori, Takaaki Shimano, Kaoru a další

Zdroj: Journal of Neurology. Oct2025, Vol. 272 Issue 10, p1-14. 14p.

Spatial–Spectral Joint Hyperspectral Anomaly Detection Based on a Two-Branch 3D Convolutional Autoencoder and Spatial Filtering.

Autoři: Lv, Shuai Zhao, Siwei Li, Dandan a další

Zdroj: Remote Sensing; May2023, Vol. 15 Issue 10, p2542, 21p

Témata: ANOMALY detection (Computer security), SPATIAL filters, FILTERS & filtration, DEEP learning

3D Convolutional Autoencoder for Tree Extraction from Mobile and Airborne Lidar Point Clouds.

Autoři: Zaboli, Mahdieh Shokri, Danesh Dolati, Fariba a další

Zdroj: Earth Observation & Geomatics Engineering; Dec2022, Vol. 6 Issue 2, p112-124, 13p

Témata: LASER based sensors, AIRBORNE-based remote sensing, POINT cloud, LIDAR, URBAN trees, OPTICAL scanners, AIRBORNE lasers