Výsledky vyhledávání - "Deep autoencoder"

Enhanced Short-Term GHI Prediction using Cloud-Aware Deep Autoencoder Network

Autoři: Kalpalathika N Jumin Salih Lakshmi P a další

Zdroj: 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA). :890-896

Deep Autoencoder-Based Anomaly Detection for Intelligent Network Slice Monitoring in B5G Networks

Autoři: Arun Prasad K. Abdul Basith M. Harish Kumar V.

Zdroj: Journal of Artificial Intelligence and Capsule Networks. 7:107-124

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

Autoři: Asmita Patel Buddha Singh

Zdroj: International Journal of Data Science and Analytics. 20:6019-6039

Siamese Deep Autoencoder Slow Feature Extraction Network for Nonlinear Process Concurrent Monitoring

Autoři: Yuemei Xu Xingling Shao Mingxing Jia a další

Zdroj: 2025 37th Chinese Control and Decision Conference (CCDC). :828-833

Proximal Mapping-Incorporated Deep Autoencoder Network with Momentum Acceleration Method for Image Denoising

Autoři: Yang Zhao Ming Li Meng Huang a další

Zdroj: 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). :1322-1327

PMiner: Process Mining using Deep Autoencoder for Anomaly Detection and Reconstruction of Business Processes

Autoři: Chinnaiah, Veluru Veerabhadram, Vadlamani Aavula, Ravi a další

Zdroj: International journal of electrical and computer engineering systems
Volume 15
Issue 6

Témata: Process Mining, Deep Learning, Artificial Intelligence, Deep Autoencoder, Long Short Term Memory

Popis souboru: application/pdf

Přístupová URL adresa: https://hrcak.srce.hr/317691
https://doi.org/10.32985/ijeces.15.6.7
https://hrcak.srce.hr/317691
https://doi.org/10.32985/ijeces.15.6.7
https://hrcak.srce.hr/file/459047

Harnessing unlabeled data: Enhanced rare earth component content prediction based on BiLSTM-Deep autoencoder

Autoři: Wenhao, Dai Rongxiu, Lu Jianyong, Zhu a další

Zdroj: ISA Transactions. 157:357-367

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39757067

Communication Security Protection Method Based on Deep Autoencoder Gaussian Mixture Model

Autoři: Yu, Guanghua Xia, Kuiliang

Zdroj: Advances in Transdisciplinary Engineering ISBN: 9781643686097

Toward Deep Autoencoder for Recommendation System Using Implicit Feedback

Autoři: Ajoy Deb Nath Md. Mokammel Haque

Zdroj: Data-Driven Applications for Emerging Technologies ISBN: 9781003605508

Hybrid Deep Autoencoder and AdaBoost for Robust Facial Expression Recognition

Autoři: Muhamad Fatchan Pulung N. Andono Affandy Affandy a další

Zdroj: International Journal of Computational Methods and Experimental Measurements. 13:141-147

Towards Securing IoT: A Deep Autoencoder-Based Anomaly Detection System

Autoři: null Zainab Abbas Shamsullah

Zdroj: Journal of Information Systems Engineering and Management. 10:110-124

A Deep Autoencoder Based Outlier Detection Model for Intrusion Detection Systems in Wireless Sensor Networks

Autoři: Shourya Shukla Ajay Singh Raghuvanshi Saikat Majumder a další

Zdroj: 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). :669-674

Generating extremely low-dimensional representation of subsurface earth models using vector quantization and deep Autoencoder

Autoři: Yusuf Falola Polina Churilova Rui Liu a další

Zdroj: Petroleum Research, Vol 10, Iss 1, Pp 28-44 (2025)

Témata: Oils, fats, and waxes, Vector-quantized variational autoencoders (VQ-VAE), Compression, TP670-699, Autoencoders, Reparameterization, Petroleum refining. Petroleum products, Variational inference, Reservoir geomodel, TP690-692.5

Přístupová URL adresa: https://doaj.org/article/7d20290913894251b119150b8cdd3829

AI2DS: Advanced Deep Autoencoder-Driven Method for Intelligent Network Intrusion Detection Systems

Autoři: Md Habibur Rahman Leo Martinez Avdesh Mishra a další

Zdroj: 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC). :1-6

MRIS-SAD: Malicious RIS Spoofing Attack Detection Based on Hybrid Deep Autoencoder

Autoři: Pengyu Chen Long Jiao Ning Wang a další

Zdroj: IEEE Transactions on Information Forensics and Security. 20:9343-9356

A Novel PAPR Reduction Scheme Based on Deep Autoencoder Network for FBMC Systems

Autoři: Xing Cheng Deli Chen Shuaishuai Li a další

Zdroj: IEEE Access, Vol 13, Pp 68948-68958 (2025)

Témata: peak to average power ratio, denoising autoencoder network, deep learning, Filter bank multicarrier, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/678c4448230241fc87fe49f3e61edf69

Computationally Efficient Hyperspectral Image Classification Using Deep Autoencoder and Multistage 2 Dimensional Convolutional Autoencoder Architectures

Autoři: Sneha R. Burnase Poonam N. Sonar Maitreya Shelare

Zdroj: Procedia Computer Science. 260:1017-1025

TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images

Autoři: Changda Xing Meiling Wang Xuesong Wang a další

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 63:1-12

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach anddeep neural networks

Autoři: A. E. Ibor D. O. Egete A. O. Otiko a další

Zdroj: Journal of Nigerian Society of Physical Sciences, Vol 7, Iss 3 (2025)

Témata: Adversarial attacks, Deep autoencoder, Deep learning, Intrusion detection, Cyber-physical systems, Physics, QC1-999

Popis souboru: electronic resource

Relation: https://journal.nsps.org.ng/index.php/jnsps/article/view/2689; https://doaj.org/toc/2714-2817; https://doaj.org/toc/2714-4704

Přístupová URL adresa: https://doaj.org/article/776211c46eca45988f2d0f196bd4892f

Kruskal Szekeres generative adversarial network augmented deep autoencoder for colorectal cancer detection

Autoři: Suresh Kumar, Krishnamoorthy Vanitha Cn

Zdroj: Network: Computation in Neural Systems. :1-27

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39550608