Výsledky vyhledávání - optimized temporal denoised conventional autoencoder~

An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets.

Autoři: Salehiyan, Ahmad Moghaddam, Pardis Sadatian Kaveh, Masoud

Zdroj: Future Internet; Jul2025, Vol. 17 Issue 7, p279, 34p

Témata: INTRUSION detection systems (Computer security), EDGE computing, AUTOENCODERS, INTERNET security, CYBER physical systems, DEEP learning, GENERATIVE adversarial networks

Feature-Shuffle and Multi-Head Attention-Based Autoencoder for Eliminating Electrode Motion Noise in ECG Applications.

Autoři: Wang, Szu-Ting Hsu, Wen-Yen Lai, Shin-Chi a další

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6322, 21p

Témata: ELECTROCARDIOGRAPHY, AUTOENCODERS, NOISE, DEEP learning, SIGNAL-to-noise ratio, REAL-time computing, CARDIOVASCULAR disease diagnosis

Infrared Temporal Differential Perception for Space-Based Aerial Targets.

Autoři: Guo, Lan Chen, Xin Gao, Cong a další

Zdroj: Remote Sensing; Oct2025, Vol. 17 Issue 20, p3487, 29p

Témata: SIGNAL-to-noise ratio, MULTISENSOR data fusion, INFRARED detectors, SIMULATION methods & models, DETECTION algorithms

Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials.

Autoři: Moustakidis, Serafeim Stergiou, Konstantinos Gee, Matthew a další

Zdroj: Infrastructures; Mar2025, Vol. 10 Issue 3, p51, 27p

Témata: STRUCTURAL health monitoring, FAST Fourier transforms, MARKOV processes, FIBER-reinforced plastics, AUTOENCODERS

Sensor Spoofing Detection On Autonomous Vehicle Using Channel-spatial-temporal Attention Based Autoencoder Network.

Autoři: Zhou, Man Han, Lansheng

Zdroj: Mobile Networks & Applications; Dec2024, Vol. 29 Issue 6, p1839-1852, 14p

Témata: AUTOENCODERS, INFORMATION storage & retrieval systems, SENSOR networks, ARTIFICIAL intelligence, INFORMATION measurement

MD-DLATA: optimized template attack method based on multi-domain feature fusion.

Autoři: Feng, Zhiying Li, Lang

Zdroj: Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-11, 11p

Témata: DEEP learning, FEATURE extraction, SUPPORT vector machines, ARTIFICIAL neural networks

AI-Driven Cybersecurity in IoT: Adaptive Malware Detection and Lightweight Encryption via TRIM-SEC Framework.

Autoři: Mutambik, Ibrahim

Zdroj: Sensors (14248220); Nov2025, Vol. 25 Issue 22, p7072, 22p

Témata: INTERNET of things, MALWARE, DATA encryption, ARTIFICIAL intelligence, CRYPTOGRAPHY, INTERNET security

Improving OCTA Image Quality for Alzheimer's Diagnosis Using Autoencoder, Self-Attention and GANs.

Autoři: C. K., Madhu C. V., Aravinda S. V., Aruna Kumar a další

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 7, p1-17, 17p

Témata: GENERATIVE adversarial networks, ALZHEIMER'S disease, SPECKLE interference, OPTICAL coherence tomography, AUTOENCODERS, DEEP learning

A Review of Neural Network-Based Image Noise Processing Methods.

Autoři: Volkov, Anton A. Kozlov, Alexander V. Cheremkhin, Pavel A. a další

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6088, 37p

Témata: CONVOLUTIONAL neural networks, DIGITAL image processing, SIGNAL filtering, AUTOENCODERS, ARTIFICIAL neural networks, GENERATIVE adversarial networks, IMAGE quality analysis

End-to-end deep learning for smart maritime threat detection: an AE–CNN–LSTM-based approach.

Autoři: Anuja, R. Annrose, J.

Zdroj: Scientific Reports; 10/17/2025, Vol. 15 Issue 1, p1-26, 26p

Témata: INTRUSION detection systems (Computer security), INTERNET of things, REAL-time computing, DEEP learning, INTERNET security, MARITIME management

Multi-Sensor Fusion and Deep Learning for Predictive Lubricant Health Assessment.

Autoři: Chen, Yongxu Shen, Jie Zhou, Fanhao a další

Zdroj: Lubricants (2075-4442); Aug2025, Vol. 13 Issue 8, p364, 24p

Témata: MULTISENSOR data fusion, DEEP learning, DEVIATION (Statistics), CONDITION-based maintenance, WEAR resistance, FAULT diagnosis

A Hybrid Approach Based on a Windowed-EMD Temporal Convolution–Reallocation Network and Physical Kalman Filtering for Bearing Remaining Useful Life Estimation.

Autoři: Wei, Zhe Lang, Lang Chen, Mo a další

Zdroj: Machines; Sep2025, Vol. 13 Issue 9, p802, 15p

Témata: REMAINING useful life, KALMAN filtering, BEARING steel, DEEP learning, FEATURE extraction, HILBERT-Huang transform, CONVOLUTIONAL neural networks

Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals.

Autoři: Mani, Ruth Keziah Nagaraj, Balakrishnan

Zdroj: Scientific Reports; 6/2/2025, Vol. 15 Issue 1, p1-17, 17p

An efficient noise reduction technique in underwater acoustic signals using enhanced optimization-based residual recurrent neural network with novel loss function.

Autoři: Madhusudhanarao, Korrapati Krishna, K. Murali Krishna, Battula Tirumala

Zdroj: International Journal of Wavelets, Multiresolution & Information Processing; Jan2025, Vol. 23 Issue 1, p1-35, 35p

Témata: ACOUSTIC signal processing, RECURRENT neural networks, NOISE control, OPTIMIZATION algorithms, UNDERWATER exploration, UNDERWATER noise

A Dynamic Website Fingerprinting Defense by Emulating Spatio-Temporal Traffic Features.

Autoři: Zhang, Dongfang Rao, Chen Huang, Jianan a další

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 22, p4441, 27p

Témata: SPATIOTEMPORAL processes, DEEP learning, TRAFFIC monitoring, COMPUTER network security, ENCRYPTION protocols, COMPUTER security, PRIVACY

Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse.

Autoři: Ma, Wenzhuo Chen, Zhenzhong

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Dec2025, Vol. 21 Issue 12, p1-22, 22p

TIC-FusionNet: A multimodal deep learning framework with temporal decomposition and attention-based fusion for time series forecasting.

Autoři: Chen, Liyu Fan, Xiangwei

Zdroj: PLoS ONE; 10/9/2025, Vol. 20 Issue 10, p1-35, 35p

Témata: DEEP learning, MACHINE learning, PATTERN perception, MULTISENSOR data fusion, BUSINESS forecasting, FORECASTING

A Novel Autoencoder-Based Design for Channel Estimation in Maritime OFDM Systems.

Autoři: Yang, Yongjie Chao, Wenming Ma, Li a další

Zdroj: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3454, 15p

Témata: CHANNEL estimation, ORTHOGONAL frequency division multiplexing, LONG short-term memory, ARTIFICIAL neural networks, MACHINE learning, AUTOENCODERS, RANDOM noise theory, MARINE communication

Cross-domain Spatio-temporal and Multi-scale Residual Attention Mechanisms for Robust EEG Motor Imagery Classification.

Autoři: Mathiyazhagan, Sathish Devasena, M. S. Geetha

Zdroj: International Journal of Computational Intelligence Systems; 11/4/2025, Vol. 18 Issue 1, p1-28, 28p

Machine-Learning-Assisted Optimization of Pulse Shape Discrimination in Gadolinium-Loaded Liquid Scintillators for the RENE Experiment.

Autoři: Choi, Ji Young Joo, Kyung Kwang Park, Jubin a další

Zdroj: Progress of Theoretical & Experimental Physics: PTEP; Sep2025, Vol. 2025 Issue 9, p1-17, 17p

Témata: MACHINE learning, LIQUID scintillators, DIMENSIONAL reduction algorithms, SCIENTIFIC experimentation, GADOLINIUM, SIGNAL classification, GAMMA ray spectroscopy, NEUTRON counters