Search Results - ((dynamic OR dynamika) OR dynamik) graph conventional autoencoder

ADG-KAE: novel adaptive dynamic graph embedded kernel autoencoder algorithm for industrial process monitoring and fault detection

Authors: Tong, Ruining Xu, Zhiyu Qu, Haini et al.

Contributors: Tong, Ruining Xu, Zhiyu Qu, Haini et al.

Source: Measurement Science and Technology ; volume 36, issue 6, page 066212 ; ISSN 0957-0233 1361-6501

Availability: https://doi.org/10.1088/1361-6501/addbf8
https://iopscience.iop.org/article/10.1088/1361-6501/addbf8
https://iopscience.iop.org/article/10.1088/1361-6501/addbf8/pdf

A Comprehensive Method for Anomaly Detection in Complex Dynamic IoT Systems

Authors: Andrii Liashenko Larysa Globa

Source: Proceedings of the International Conference on Applied Innovations in IT, Vol 13, Iss 1, Pp 101-107 (2025)

Subject Terms: anomaly detection, temporal graphs, temporal graph neural networks, autoencoder, graph neural networks, reconstruction error, dynamic systems, transportation network, Electronic computers. Computer science, QA75.5-76.95, Technology

File Description: electronic resource

Relation: https://icaiit.org/paper.php?paper=13th_ICAIIT_1/2_4; https://doaj.org/toc/2199-8876

Access URL: https://doaj.org/article/fd3af3924db04d33b178b0d3e4f8eedf

Dual-Branch Reconstruction Pre-Training with Multi-Layer Supervision and Regional Dynamic Graph Convolution for 2D Tooth Segmentation.

Authors: Wang, Haibin Liu, Li

Source: Sensing & Imaging; 10/18/2025, Vol. 26 Issue 1, p1-14, 14p

Signed versus isomorphic graph autoencoders for microRNA-single-nucleotide polymorphisms network reconstruction in periodontal osteo-genomic landscapes.

Alternate Title: Autocodificadores de grafos isomorfos versus firmados para la reconstrucción de redes de polimorfismos de un solo nucleótido de microARN en paisajes osteogenómicos periodontales. (Spanish)

Authors: Sharma, Sarvagya Yadalam, Pradeep Kumar Ardila, Carlos M.

Source: Gaceta Médica de Caracas; jul-sep2025, Vol. 133 Issue 3, p675-685, 11p

Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting.

Authors: Immordino, Gabriele Vaiuso, Andrea Da Ronch, Andrea et al.

Source: Aerospace Science & Technology. Oct2025, Vol. 165, pN.PAG-N.PAG. 1p.

Subject Terms: *AUTOENCODERS, *TRANSONIC aerodynamics, *NONLINEAR mechanics, *GRAPH neural networks, *SPATIOTEMPORAL processes, *AERODYNAMIC load, *FORECASTING

Multi-Task Graph Attention Net for Electricity Consumption Prediction and Anomaly Detection

Authors: Na Bai Jian Zhang Zhaoli Wu

Source: Computers, Vol 14, Iss 9, p 350 (2025)

Subject Terms: electricity consumption anomaly detection, electricity consumption prediction, multi-task learning, graph autoencoder, sequence entropy, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/2073-431X/14/9/350; https://doaj.org/toc/2073-431X

Access URL: https://doaj.org/article/184b86f77e564534bf7653d6a1220839

Graph-Variational Convolutional Autoencoder-Based Fault Detection and Diagnosis for Photovoltaic Arrays.

Authors: Arifeen, Murshedul Petrovski, Andrei Hasan, Md Junayed et al.

Source: Machines; Dec2024, Vol. 12 Issue 12, p894, 15p

Subject Terms: SOLAR cells, RENEWABLE energy sources, PHOTOVOLTAIC power systems, SOLAR energy, AUTOENCODERS

Variational Graph Convolutional Networks for Dynamic Graph Representation Learning

Authors: Aabid A. Mir Megat F. Zuhairi Shahrulniza Musa et al.

Source: IEEE Access, Vol 12, Pp 161697-161717 (2024)

Subject Terms: network security, deep learning, graph neural networks, Anomaly detection, complex networks, Electrical engineering. Electronics. Nuclear engineering, heterogeneous networks, TK1-9971

Access URL: https://doaj.org/article/205888aa585544ec8d0e7f0c49e14058

Augmenting the human interactome for disease prediction through gene networks inferred from human cell atlas.

Authors: Sung, Euijeong Cha, Junha Baek, Seungbyn et al.

Source: Animal Cells & Systems. Dec2025, Vol. 29 Issue 1, p173-182. 10p.

Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality

Authors: Liu, Jie Shang, Xuequn Han, Xiaolin et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2403.09039

Reconstructing brain causal dynamics for subject and task fingerprints using fMRI time-series data.

Authors: Song, Dachuan Shen, Li Duong-Tran, Duy et al.

Source: Health Information Science & Systems; 10/28/2025, Vol. 13 Issue 1, p1-17, 17p

GNPNM: A graph neural pore network model for predicting quasi-static drainage displacement patterns.

Authors: Kim, Yejin Suh, Hyoung Suk

Source: Computers & Geotechnics. Nov2025, Vol. 187, pN.PAG-N.PAG. 1p.

Subject Terms: *GRAPH neural networks, *FLUID dynamics, *CAPILLARY flow, *MACHINE learning, *ELECTRIC network topology, *PREDICTION models

Autoencoder with Constraints for Subsurface Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging.

Authors: Bandari, Enosh Oleti, Siva Subrahmanyam Prasanthi, Y. Naga et al.

Source: Sensing & Imaging; 8/18/2025, Vol. 26 Issue 1, p1-17, 17p

Quantum deep learning-enhanced ethereum blockchain for cloud security: intrusion detection, fraud prevention, and secure data migration.

Authors: Nagarjun, A. Venkata Rajkumar, Sujatha

Source: Scientific Reports. 11/5/2025, Vol. 15 Issue 1, p1-21. 21p.

Designing metamaterials with programmable nonlinear responses and geometric constraints in graph space.

Authors: Maurizi, Marco Xu, Derek Wang, Yu-Tong et al.

Source: Nature Machine Intelligence; Jul2025, Vol. 7 Issue 7, p1023-1036, 14p

Kolmogorov–Arnold graph neural networks for molecular property prediction.

Authors: Li, Longlong Zhang, Yipeng Wang, Guanghui et al.

Source: Nature Machine Intelligence; Aug2025, Vol. 7 Issue 8, p1346-1354, 9p

Target-specific de novo design of drug candidate molecules with graph-transformer-based generative adversarial networks.

Authors: Ünlü, Atabey Çevrim, Elif Yiğit, Melih Gökay et al.

Source: Nature Machine Intelligence; Sep2025, Vol. 7 Issue 9, p1524-1540, 17p

Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies

Authors: Kim, Jeehong Kim, Minchan Ju, Jaeseong et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2502.14197

Assessment of energy-efficient wireless network using autoencoders with unsupervised deep learning.

Authors: Abdullah, Mahmood Zaki Hummadi, Fadia Noori

Source: Service Oriented Computing & Applications; Dec2024, Vol. 18 Issue 4, p349-360, 12p

Artificial Intelligence in Endurance Sports: Metabolic, Recovery, and Nutritional Perspectives.

Authors: Grivas, Gerasimos V. Safari, Kousar

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3209. 26p.