Výsledky vyhledávání - "3D convolutional autoencoders"

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

Autoři: Niaz, Asim Ul Amin, Sareer Soomro, Shafiullah a další

Zdroj: IEEE Access. 12:104770-104784

Témata: 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

Popis souboru: electronic

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

Deep learning-based automated 3D inspection of helical gears using voxelized CAD models and 3D convolutional autoencoders.

Autoři: Selloum, Rabia Ameddah, Hacene Brioua, Mourad

Zdroj: International Journal of Advanced Manufacturing Technology. Dec2025, Vol. 141 Issue 7/8, p3695-3715. 21p.

Témata: *HELICAL gears, *ENGINEERING inspection, *INSPECTION & review, *THREE-dimensional modeling, *INDUSTRIAL applications, *INDUSTRIAL robots, *DEEP learning

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

Autoři: Asim Niaz Sareer Ul Amin Shafiullah Soomro a další

Zdroj: IEEE Access, Vol 12, Pp 160315-160316 (2024)

Témata: Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/4ae0f9167a834b689b668d30e1e78ff7

Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders

Autoři: Martínez-Murcia, Francisco Jesús

Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders

Autoři: Heras, E. Delgado de las Martinez-Murcia, F. J. Illán, I. A. a další

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, 3. Good health, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2305.07038

Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders

Autoři: Kenichi Oishi Hayato Arai Yusuke Chayama a další

Zdroj: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :5162-5165

Témata: 03 medical and health sciences, 0302 clinical medicine, Databases, Factual, 0202 electrical engineering, electronic engineering, information engineering, Brain, 02 engineering and technology, Magnetic Resonance Imaging

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/30441502
https://dblp.uni-trier.de/db/conf/embc/embc2018.html#AraiCIO18
https://europepmc.org/article/MED/30441502
https://ieeexplore.ieee.org/document/8513469/
https://jhu.pure.elsevier.com/en/publications/significant-dimension-reduction-of-3d-brain-mri-using-3d-convolut
https://pubmed.ncbi.nlm.nih.gov/30441502/
https://www.ncbi.nlm.nih.gov/pubmed/30441502

Spatial Feature Fusion in 3D Convolutional Autoencoders for Lung Tumor Segmentation from 3D CT Images

Autoři: Suhail Najeeb Mohammed Imamul Hassan Bhuiyan

Zdroj: SSRN Electronic Journal.

Témata: 03 medical and health sciences, 0302 clinical medicine

Detektion von Stoffen in Lebensmitteln mit Hilfe von 3D-Faltungsautoencodern / Detection of substances in food with 3D convolutional autoencoders

Autoři: Anastasiadis, Johannes Puente León, Fernando

Zdroj: Technisches Messen, 85 (s1), s38–s44

Témata: ddc:620, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Engineering & allied operations

Popis souboru: application/pdf

Přístupová URL adresa: https://www.degruyter.com/document/doi/10.1515/teme-2018-0033/pdf
https://publikationen.bibliothek.kit.edu/1000092068
https://publikationen.bibliothek.kit.edu/1000092068/107000841
https://publikationen.bibliothek.kit.edu/1000092068
https://doi.org/10.5445/IR/1000092068
https://publikationen.bibliothek.kit.edu/1000092068/107000841

Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders

Autoři: Nalepa, Jakub Myller, Michal Imai, Yasuteru a další

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1907.08870

Detektion von Stoffen in Lebensmitteln mit Hilfe von 3D-Faltungsautoencodern = Detection of substances in food with 3D convolutional autoencoders

Autoři: Anastasiadis, Johannes Puente León, Fernando

Zdroj: Technisches Messen, 85 (s1), s38–s44 ; ISSN: 2196-7113, 0171-8096

Témata: ddc:620, Engineering & allied operations, info:eu-repo/classification/ddc/620

Popis souboru: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/wos/000444098300008; info:eu-repo/semantics/altIdentifier/issn/2196-7113; info:eu-repo/semantics/altIdentifier/issn/0171-8096; https://publikationen.bibliothek.kit.edu/1000092068; https://publikationen.bibliothek.kit.edu/1000092068/107000841; https://doi.org/10.5445/IR/1000092068

Dostupnost: https://publikationen.bibliothek.kit.edu/1000092068
https://publikationen.bibliothek.kit.edu/1000092068/107000841
https://doi.org/10.5445/IR/1000092068

Spatial feature fusion in 3D convolutional autoencoders for lung tumor segmentation from 3D CT images

Autoři: Najeeb, Suhail Bhuiyan, Mohammed Imamul Hassan

Zdroj: Biomedical Signal Processing and Control ; volume 78, page 103996 ; ISSN 1746-8094

Dostupnost: http://dx.doi.org/10.1016/j.bspc.2022.103996
https://api.elsevier.com/content/article/PII:S174680942200444X?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S174680942200444X?httpAccept=text/plain

EEG-Based Personal Identification by Special Design Domain-Adaptive Autoencoder.

Autoři: Oztemel, Muhammed Esad Soysal, Ömer Muhammet

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6457, 21p

Témata: AUTOENCODERS, BIOMETRIC identification, FEATURE extraction, CLASSIFICATION algorithms, MACHINE learning, ELECTROENCEPHALOGRAPHY

Vision transformer and Mamba-attention fusion for high-precision PCB defect detection.

Autoři: Niaz, Asim Umraiz, Muhammad Soomro, Shafiullah a další

Zdroj: PLoS ONE; 9/25/2025, Vol. 20 Issue 9, p1-19, 19p

Témata: COMPUTER vision, MANUFACTURING defects, FEATURE extraction, DEEP learning, TRANSFORMER models, DEFECT tracking (Computer software development)

A review on early detection of Alzheimer's disease: employing deep learning, machine learning, and statistical methods.

Autoři: Biswas, Soumyajit Sen, Anuvab Roy, Subhabrata

Zdroj: CSI Transactions on ICT; Sep2025, Vol. 13 Issue 2/3, p159-179, 21p

OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection.

Autoři: Jannat, Fatema-E Gholami, Sina Alam, Minhaj Nur a další

Zdroj: Frontiers in Big Data; 2025, p1-24, 24p

Asymmetric Anomaly Detection for Human-Robot Interaction

Autoři: Yingkun Hou Qiang Zhang Rui Liu a další

Zdroj: 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD). :372-377

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/cscwd/cscwd2021.html#LvYLHZZW21

Deep Learning Techniques for Lung Cancer Diagnosis with Computed Tomography Imaging: A Systematic Review for Detection, Segmentation, and Classification.

Autoři: Abdullahi, Kabiru Ramakrishnan, Kannan Ali, Aziah Binti

Zdroj: Information; Jun2025, Vol. 16 Issue 6, p451, 31p

Témata: TRANSFORMER models, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, COMPUTED tomography, LUNG cancer, DEEP learning

Anomaly Detection in Video with Knowledge Distillation Radial Kernel Function Assisted Ensemble Model.

Autoři: Venugopal, Ranjan Manu, A. P.

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 5, p394-408, 15p

Témata: ENSEMBLE learning, COMPUTER vision, FEATURE extraction, RANDOM forest algorithms, FEATURE selection

Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

Autoři: Mehta, Vineet Dhall, Abhinav Pal, Sujata a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2004.08352

Fader Networks for domain adaptation on fMRI: ABIDE-II study

Autoři: Pominova, Marina Kondrateva, Ekaterina Sharaev, Maxim 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/2010.07233