Výsledky vyhľadávania - "Sparse denoising autoencoder (SDAE)"

Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection

Autori: Shigang Wang Xiangyuan Zhang Yifan Zhao a ďalší

Zdroj: Remote Sensing, Vol 16, Iss 17, p 3263 (2024)

Predmety: magnetic anomaly detection (MAD), marine noise modeling, self-supervised learning (SSL), sparse denoising autoencoder (SDAE), Science

Relation: https://www.mdpi.com/2072-4292/16/17/3263; https://doaj.org/toc/2072-4292; https://doaj.org/article/9ea907301efc4761bbfcc2d89a02d1ac

Dostupnosť: https://doi.org/10.3390/rs16173263
https://doaj.org/article/9ea907301efc4761bbfcc2d89a02d1ac

An Advanced Immersion Level Prediction Using Ensemble Classifier with Heuristic Search Algorithm in 3D Games Content Generated Virtual Environments.

Autori: Sundararajan, Kamalanathan Santhanam, Prasanna

Zdroj: Fusion: Practice & Applications; 2026, Vol. 21 Issue 1, p277-292, 16p

Predmety: ARTIFICIAL intelligence, METAHEURISTIC algorithms, LONG short-term memory, AUTOENCODERS, HEURISTIC

Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments.

Autori: Nalinipriya, G. Rama Sree, S. Radhika, K. a ďalší

Zdroj: Scientific Reports; 7/9/2025, Vol. 15 Issue 1, p1-24, 24p

Predmety: MACHINE learning, ARTIFICIAL intelligence, EMPIRICAL research, FEATURE selection, INTERNET security, CYBERTERRORISM

Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment.

Autori: Yang, Eunmok Jeong, Sooyong Seo, Changho

Zdroj: Scientific Reports; 5/20/2025, Vol. 15 Issue 1, p1-15, 15p

Predmety: CYBERTERRORISM, DENIAL of service attacks, OPTIMIZATION algorithms, ARTIFICIAL intelligence, FISH migration

Incipient fault detection and process monitoring of thermal power plant pulverizing system based on deep representation learning.

Autori: Zeng, Lei Zhang, Xin Yu, Ke a ďalší

Zdroj: Transactions of the Institute of Measurement & Control. Nov2025, Vol. 47 Issue 15, p3111-3123. 13p.

Predmety: *FAULT diagnosis, *DEEP learning, *STEAM power plants, *K-nearest neighbor classification, *PROCESS control systems, *FEATURE extraction

Few-shot cross-domain fault diagnosis via adversarial meta-learning.

Autori: Guo, Yu Dai, Jun Zhang, Jundong

Zdroj: Scientific Reports; 11/25/2025, Vol. 15 Issue 1, p1-22, 22p

Predmety: FAULT diagnosis, MACHINE learning, SCIENTIFIC computing, FEATURE extraction, TRANSFER of training, INTERDISCIPLINARY research, ARTIFICIAL neural networks

Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network.

Autori: Li, Ronglin Wu, Qiang Liu, Ju a ďalší

Zdroj: Frontiers in Neuroscience; 2/7/2020, p1-11, 11p

Predmety: RECURRENT neural networks, ANESTHESIA, SHORT-term memory

Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders.

Autori: Freiman, Moti Manjeshwar, Ravindra Goshen, Liran

Zdroj: Medical Physics; May2019, Vol. 46 Issue 5, p2223-2231, 9p

Predmety: MATHEMATICAL regularization, ABNORMALITIES in animals, RANDOM noise theory, CORONARY disease, SPARSE approximations, DATA corruption, COMPUTED tomography

Early fault detection method for nuclear power plants based on sparse denoising autoencoder and kernel principal component analysis.

Autori: Yin, Wenzhe Xia, Hong Huang, Xueying a ďalší

Zdroj: Annals of Nuclear Energy. Sep2025, Vol. 220, pN.PAG-N.PAG. 1p.

Predmety: *FEATURE extraction, *PRINCIPAL components analysis, *PROCESS capability, *AUTOENCODERS, *NUCLEAR power plants, *FALSE alarms

SPR: Malicious traffic detection model for CTCS-3 in railways.

Autori: Siyang Zhou Wenjiang Ji Xinhong Hei a ďalší

Zdroj: High-speed Railway; Jun2025, Vol. 3 Issue 2, p105-115, 11p

Predmety: EXTREME learning machines, TRAFFIC monitoring, AUTOENCODERS, INDUSTRIAL controls manufacturing, MACHINE learning

Leveraging advanced graph neural networks for the enhanced classification of post anesthesia states to aid surgical procedures.

Autori: Niu, Dongge Ru, Renxin Zhang, Jiasheng a ďalší

Zdroj: PLoS ONE; 4/25/2025, Vol. 20 Issue 4, p1-28, 28p

Predmety: MACHINE learning, GRAPH neural networks, RANK correlation (Statistics), GOVERNMENT aid, SURGICAL complications

Comparative analysis of Regression with ARIMA and PI-RNN models for Predicting IGBT Remaining Useful Life using Switch Health Index Embedding Feature Reconstruction approach

Autori: Hiteshree Suresh Sakhare Heeralal Gargama

Zdroj: Measurement Science and Technology.

Fault Diagnosis Algorithm of Bearings under Variable Operating Conditions Based on Multisource Sensor Fusion and Discriminant Space Optimization.

Autori: Dongsheng Wu Yihao Chen Yifan Chen

Zdroj: Sensors & Materials; 2024, Vol. 36 Issue 11, Part 1, p4607-4629, 23p

Predmety: FAULT diagnosis, MACHINE learning, DETECTORS, FEATURE extraction, DEEP learning, TEMPERATURE sensors, VIDEO coding

Integrating Deep Learning and Reinforcement Learning for Enhanced Financial Risk Forecasting in Supply Chain Management.

Autori: Cui, Yuanfei Yao, Fengtong

Zdroj: Journal of the Knowledge Economy; Dec2024, Vol. 15 Issue 4, p20091-20110, 20p

Classification model of electricity consumption behavior based on sparse denoising autoencoder feature dimensionality reduction and spectral clustering.

Autori: Huang, Yifan Yao, Zhengnan Xu, Qifeng

Zdroj: International Journal of Electrical Power & Energy Systems. Jul2024, Vol. 158, pN.PAG-N.PAG. 1p.

Predmety: *ELECTRIC power consumption, *FEATURE extraction, *CONSUMPTION (Economics), *ENERGY industries, *CLASSIFICATION

Geografický termín: FUJIAN Sheng (China)

Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection.

Autori: Wang, Shigang Zhang, Xiangyuan Zhao, Yifan a ďalší

Zdroj: Remote Sensing; Sep2024, Vol. 16 Issue 17, p3263, 19p

Predmety: MAGNETIC anomalies, MAGNETIC noise, ANOMALY detection (Computer security), STATISTICAL decision making, DETECTORS, AUTOENCODERS

RF-Based Direction Finding of UAVs Using DNN

Autori: Abeywickrama, Samith Jayasinghe, Lahiru Fu, Hua a ďalší

Témy: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Networking and Internet Architecture, text

URL: http://arxiv.org/abs/1712.01154

Expressway Traffic Incident Detection Using a Deep Learning Approach Based on Spatiotemporal Features with Multilevel Fusion.

Autori: Qikai Qu Yongjun Shen Miaomiao Yang a ďalší

Zdroj: Journal of Transportation Engineering. Part A. Systems; Jun2024, Vol. 150 Issue 6, p1-13, 13p

Nonlinear modeling for bearing fault diagnosis in non-stationary operating conditions.

Autori: Samavatian, Mohammad Behzad, Mehdi Mehdigholi, Hamid

Zdroj: Journal of the Brazilian Society of Mechanical Sciences & Engineering; May2024, Vol. 46 Issue 5, p1-11, 11p

Experimental Evaluation of an SDR-Based UAV Localization System.

Autori: Codău, Cristian Buta, Rareș-Călin Păstrăv, Andra a ďalší

Zdroj: Sensors (14248220); May2024, Vol. 24 Issue 9, p2789, 20p

Predmety: MULTIPLE Signal Classification, ANTENNA arrays, ANTENNAS (Electronics), SIGNAL processing, DRONE aircraft