Suchergebnisse - (("autoencoder application") OR ((("Autoencoder applications") OR ("Autoencoder publications"))))*

Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization.

Autoren: Jia, Mingwei Jiang, Lingwei Hu, Junhao et al.

Quelle: International Journal of Adaptive Control & Signal Processing. Jul2025, Vol. 39 Issue 7, p1483-1502. 20p.

Schlagwörter: *AUTOENCODERS, *MANUFACTURING processes, *SIGNAL processing, *TREND analysis, *OUTLIER detection, *MEASUREMENT uncertainty (Statistics), *PROCESS control systems

Anomaly detection in urban lighting systems using autoencoder and transformer algorithms.

Autoren: Śmiałkowski, Tomasz Czyżewski, Andrzej

Quelle: Scientific Reports; 10/15/2025, Vol. 15 Issue 1, p1-13, 13p

Schlagwörter: AUTOENCODERS, MACHINE learning, ENERGY consumption, OUTLIER detection, MUNICIPAL lighting, ARTIFICIAL intelligence, TRANSFORMER models, REAL-time computing

Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network

Autoren: Gianina Chirosca Roxana Radvan Matei Pop et al.

Quelle: Applied Sciences, Vol 15, Iss 16, p 9014 (2025)

Schlagwörter: craquelure detection, convolutional neural networks, image processing, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/16/9014; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/0c411f6328ac45c29e22cd00b317ec70

Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network.

Autoren: Chirosca, Gianina Radvan, Roxana Pop, Matei et al.

Quelle: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9014, 13p

Schlagwörter: ART authentication, DEEP learning, ARTISTIC creation, IMAGE analysis, FEATURE extraction, PATTERN perception, EMBEDDINGS (Mathematics), AUTOENCODERS

Comparative Analysis of Recurrent vs. Temporal Convolutional Autoencoders for Detecting Container Impacts During Quay Crane Handling.

Autoren: Jakovlev, Sergej Eglynas, Tomas Pocevicius, Edvinas et al.

Quelle: Journal of Marine Science & Engineering; Jul2025, Vol. 13 Issue 7, p1231, 23p

Schlagwörter: AUTOENCODERS, EDGE computing, CONVOLUTIONAL neural networks, CRANES (Machinery), OUTLIER detection, SHIPPING containers, REAL-time computing

Autoencoder Application for Anomaly Detection in Power Consumption of Lighting Systems

Autoren: Tomasz Smialkowski Andrzej Czyzewski

Quelle: IEEE Access, Vol 11, Pp 124150-124162 (2023)

Schlagwörter: Anomaly detection, autoencoder, machine learning, road lighting systems, smart city, smart meters, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10309114/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/682c1dc2a6ec473983d8185865ed5f08

A Pansharpening Based on the Non-Subsampled Contourlet Transform and Convolutional Autoencoder: Application to QuickBird Imagery

Autoren: Ahmad Al Smadi Shuyuan Yang Ahed Abugabah et al.

Quelle: IEEE Access, Vol 10, Pp 44778-44788 (2022)

Schlagwörter: Pansharpening, multispectral image fusion, convolutional autoencoder, NSCT, remote sensing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9761938/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/34ee88da446440829ab7702d7885f6da

An Invariant Representation of Coupler Curves Using a Variational Autoencoder: Application to Path Synthesis of Four-Bar Mechanisms

Autoren: Anar Nurizada Anurag Purwar

Quelle: Volume 8: 47th Mechanisms and Robotics Conference (MR).

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

CNN Based Autoencoder Application in Breast Cancer Image Retrieval

Autoren: Minarno, Agus Eko Ghufron, Kharisma Muzaki Sabrila, Trifebi Shina et al.

Quelle: 2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)

Verfügbarkeit: https://doi.org/10.1109/isitia52817.2021.9502205
http://xplorestaging.ieee.org/ielx7/9502176/9502189/09502205.pdf?arnumber=9502205

Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages

Autoren: Dan Hu Han Zhang Zhengwang Wu et al.

Quelle: IEEE Transactions on Medical Imaging. 39:4137-4149

Schlagwörter: Male, 03 medical and health sciences, 0302 clinical medicine, Brain, Humans, Infant, Neuroimaging, Magnetic Resonance Imaging, Algorithms

Zugangs-URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773223
https://pubmed.ncbi.nlm.nih.gov/32746154
https://koreauniv.pure.elsevier.com/en/publications/disentangled-multimodal-adversarial-autoencoder-application-to-in
https://pubmed.ncbi.nlm.nih.gov/32746154/
https://www.ncbi.nlm.nih.gov/pubmed/32746154
http://doi.org/10.1109/TMI.2020.3013825
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773223
https://dblp.uni-trier.de/db/journals/tmi/tmi39.html#HuZWWWSLLS20

Convolutional Autoencoder Application for Breast Cancer Classification

Autoren: Maryam Naderan Yuri Zaychenko

Quelle: 2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC). :1-4

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9239139
http://xplorestaging.ieee.org/ielx7/9239099/9239115/09239139.pdf?arnumber=9239139

Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation

Autoren: An, Seunghwan Jeon, Jong-June

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2302.11294

Anomaly Detection of Time Series Caused by International Revenue Share Fraud : Additive Model and Autoencoder Applications

Autoren: Wang, Lingxiao

Index Begriffe: Fraud detection, Anomaly detection, Machine learning, Bedrägeriupptäckt, Anomalidetektering, Maskininlärning, Computer Sciences, Datavetenskap (datalogi), Computer Engineering, Datorteknik, Computer and Information Sciences, Data- och informationsvetenskap, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325848
TRITA-EECS-EX ; 2023:100

Survey on machine learning applied to CNC milling processes.

Autoren: Pasandidehpoor, Mohammad Nogueira, Ana Rita Mendes-Moreira, João et al.

Quelle: Advances in Manufacturing; Dec2025, Vol. 13 Issue 4, p847-885, 39p

INRA: deep autoencoder-based node influence ranking method in complex networks.

Autoren: Patel, Asmita Singh, Buddha

Quelle: International Journal of Data Science & Analytics; Nov2025, Vol. 20 Issue 6, p6019-6039, 21p

Optimizing 3D printing through enhancements in inverse autoencoder models and guided decoders for predicting mechanical properties.

Autoren: Nguyen, Phuong Dong Hoang, Tien-Dat Nguyen, Thanh Q.

Quelle: Progress in Additive Manufacturing; Oct2025, Vol. 10 Issue 10, p8729-8750, 22p

A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving

Autoren: Xinan Wang Di Shi Yishen Wang et al.

Quelle: 2019 IEEE Power & Energy Society General Meeting (PESGM). :1-5

Schlagwörter: Signal Processing (eess.SP), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, 7. Clean energy

Zugangs-URL: http://arxiv.org/pdf/1902.08167
http://arxiv.org/abs/1902.08167
http://ui.adsabs.harvard.edu/abs/2019arXiv190208167W/abstract

NeuroHybridNet: A Hybrid EEG Classification Model with Autoencoder-Enhanced Fractal-Wavelet Features.

Autoren: TEKİN, Hazret

Quelle: Dicle University Journal of Engineering / Dicle Üniversitesi Mühendislik Dergisi; eyl2025, Vol. 16 Issue 3, p643-661, 19p

Intelligent Tumor Synthesis Based on Medical Image Knowledge for Liver Tumor Segmentation.

Autoren: Ji, Hefeng Xiao, Jing Lin, Jiefan et al.

Quelle: ACM Transactions on Multimedia Computing, Communications & Applications; Sep2025, Vol. 21 Issue 9, p1-23, 23p

Schlagwörter: COMPUTER-assisted image analysis (Medicine), LIVER tumors, CLINICAL medical education, IMAGE analysis, PRINCIPAL components analysis

Deep Neural Network with Anomaly Detection for Single-Cycle Battery Lifetime Prediction.

Autoren: Lee, Junghwan Wang, Longda Jung, Hoseok et al.

Quelle: Batteries; Aug2025, Vol. 11 Issue 8, p288, 22p

Schlagwörter: AUTOENCODERS, DEEP learning, ARTIFICIAL neural networks, DATA integrity, REMAINING useful life, OUTLIER detection, ELECTRIC vehicles