Search Results - convolutional autoencoder network

Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection

Authors: Niaz, Asim Ul Amin, Sareer Soomro, Shafiullah et al.

Source: IEEE Access. 12:104770-104784

Subject Terms: Videos, Anomaly detection, Surveillance, Feature extraction, Predictive models, Pedestrians, Optical flow, autoencoders, computer vision, intelligent surveillance systems, three-dimensional convolutional neural network (3DCNN), video-based abnormal event detection, Computer Science, Datavetenskap

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-132046
https://doi.org/10.1109/ACCESS.2024.3435144

Image Dehazing Using a Convolutional Autoencoder Network with Integrated Convolutional Block Attention

Authors: Rastegar, Homayoun Khotanlou, Hassan

Convolutional autoencoder network lithology recognition based on scratch tests

Authors: Suling Wang Zhihui Ren Kangxing Dong et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/f7f862af682241f488ef0ed868100a5f

Cascaded hybrid convolutional autoencoder network for spectral-spatial nonlinear hyperspectral unmixing

Authors: Jinbin Wu Jiankang Zhao Haihui Long

Source: International Journal of Remote Sensing. 45:9267-9286

A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data

Authors: Wenbo Xuan Pengchao Chen Rui Li et al.

Source: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Subject Terms: Science, Medicine, Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/40181135
https://doaj.org/article/843300ddd0b346febc0e8d2382397ead

Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network

Authors: Li, Sheng Jin, Liang Jiang, Jinpeng et al.

Source: Sensors. 22(15)

Subject Terms: Data Management and Data Science, Civil Engineering, Information and Computing Sciences, Engineering, Clinical Research, Railroads, Technology, feature identification, track fastener looseness, distributed vibration, convolutional autoencoder network, pseudo-Hilbert scan, ultra-weak fiber optic Bragg grating, Analytical Chemistry, Environmental Science and Management, Ecology, Distributed Computing, Electrical and Electronic Engineering, Electrical engineering, Electronics, sensors and digital hardware, Environmental management, Distributed computing and systems software

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/4jq321md
https://escholarship.org/content/qt4jq321md/qt4jq321md.pdf

Speech Enhancement using Convolutional Autoencoder Network

Authors: Subhadeep Sengupta Pranav Rihal Allwin D’Souza

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-11

A Novel Spatiotemporal Enhanced Convolutional Autoencoder Network for Unsupervised Health Indicator Construction

Authors: Shuaiyong Li Chao Zhang Xuyuntao Zhang

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

CAEM-GBDT: a cancer subtype identifying method using multi-omics data and convolutional autoencoder network

Authors: Jiquan Shen Xuanhui Guo Hanwen Bai et al.

Source: Front Bioinform
Frontiers in Bioinformatics, Vol 4 (2024)

Subject Terms: 0301 basic medicine, 03 medical and health sciences, Bioinformatics, Computer applications to medicine. Medical informatics, 0206 medical engineering, R858-859.7, convolutional block attention module, cancer subtype, 02 engineering and technology, cancer subtype identification, multi-omics, convolutional autoencode, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/39077754
https://doaj.org/article/4f014307b12741179c935d5f6d0a9626

Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network

Authors: Ye Liu Kam K. H. Ng Nana Chu et al.

Source: Journal of Aerospace Information Systems. 20:575-587

Subject Terms: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network

Authors: Li, Yanxiong Cao, Wenchang Drossos, Konstantinos et al.

Contributors: Li, Yanxiong Cao, Wenchang Drossos, Konstantinos et al.

Source: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP). :1-6

Subject Terms: FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 113 Computer and information sciences, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

File Description: fulltext

Access URL: http://arxiv.org/abs/2208.02406
https://trepo.tuni.fi/handle/10024/150616

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

Authors: Hangaragi, Shivalila Neelima, N. Venugopal, Vivek et al.

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

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

Predicting Wave Propagation for Varying Bathymetry Using Conditional Convolutional Autoencoder Network

Authors: Indu Kant Deo Akash Vankateshwaran Rajeev Jaiman

Source: Volume 6: Polar and Arctic Sciences and Technology; CFD, FSI, and AI.

Subject Terms: 14. Life underwater

Reconstruction of pile-up events using a one-dimensional convolutional autoencoder for the NEDA detector array

Authors: Deltoro, J. M. Jaworski, G. Goasduff, A. et al.

Source: Nuclear Science and Techniques. 36(2)

Subject Terms: 1D-CAE, Autoencoder, CAE, Convolutional neural network (CNN), Neutron detector, Neutron-gamma discrimination (NGD), Machine learning, Pulse shape discrimination, Pile-up pulse

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-548603

Inpainting non-anatomical objects in brain imaging using enhanced deep convolutional autoencoder network

Authors: Puranam Revanth Kumar B Shilpa Rajesh Kumar Jha et al.

Source: Sādhanā. 49

Sparsity Constrained Convolutional Autoencoder Network for Hyperspectral Image Unmixing

Authors: Tao Huang Zhengang Zhao Yuchen Liang et al.

Source: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. :3317-3320

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

Access URL: https://ieeexplore.ieee.org/document/9553239
https://dblp.uni-trier.de/db/conf/igarss/igarss2021.html#ZhaoWLHXY21

Mineral Prospectivity Prediction by Integration of Convolutional Autoencoder Network and Random Forest

Authors: Na Yang Zhenkai Zhang Jianhua Yang et al.

Source: Natural Resources Research. 31:1103-1119

Subject Terms: 0101 mathematics, 01 natural sciences, 0105 earth and related environmental sciences

Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder.

Authors: Hasenstab, Kyle Hahn, Lewis Chao, Nick et al.

Source: Scientific Reports. 14(1)

Subject Terms: Autoencoder, Chest radiographs, Convolutional neural network, Explainable artificial intelligence, Generative adversarial network, Humans, Radiography, Thoracic, Neural Networks, Computer, Male, Female, Natriuretic Peptide, Brain, Middle Aged, Aged, Peptide Fragments, Heart Failure, Image Processing, Computer-Assisted

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/1tq0z60t
https://escholarship.org/content/qt1tq0z60t/qt1tq0z60t.pdf

Vector Quantized Convolutional Autoencoder Network for LDCT Image Reconstruction with Hybrid Loss

Authors: Shalini Ramanathan Mohan Ramasundaram

Source: SN Computer Science. 5

Convolutional autoencoder network lithology recognition based on scratch tests.

Authors: Wang, Suling Ren, Zhihui Dong, Kangxing et al.

Source: Scientific Reports; 8/19/2025, Vol. 15 Issue 1, p1-16, 16p

Subject Terms: SHALE gas reservoirs, ARTIFICIAL neural networks, GEOLOGICAL modeling, PETROLOGY, MECHANICAL behavior of materials, HARDNESS testing

Geographic Terms: CHINA, JILIN (Jilin Sheng, China)