Výsledky vyhledávání - stacked denoting sparse autoencoder*

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy.

Autoři: He, Zhaopeng Shi, Tielin Chen, Xu

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 8, p2391, 14p

Témata: ARTIFICIAL neural networks, MACHINE learning, ENSEMBLE learning, NUMERICAL control of machine tools, AUTOENCODERS, DEEP learning

SSAE‐KPLS: A quality‐related process monitoring via integrating stacked sparse autoencoder with kernel partial least squares.

Autoři: Ye, Zhenyu Wu, Ping He, Yuchen a další

Zdroj: Canadian Journal of Chemical Engineering; Oct2023, Vol. 101 Issue 10, p5858-5873, 16p

Témata: LEAST squares, FEATURE extraction, MANUFACTURING processes, PRODUCT quality

Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data.

Autoři: Arab, Oussama Mekouar, Soufiana Mastere, Mohamed a další

Zdroj: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6614, 27p

Témata: ENSEMBLE learning, SUSTAINABLE urban development, AUTOENCODERS, SIGNAL processing, MACHINE learning, HAZARD mitigation, DISASTER resilience, DEEP learning

Geografický termín: MOROCCO

Sparse-Coding Variational Autoencoders.

Autoři: Geadah, Victor Barello, Gabriel Greenidge, Daniel a další

Zdroj: Neural Computation; Dec2024, Vol. 36 Issue 12, p2571-2601, 31p

Témata: ARTIFICIAL neural networks, VISUAL pathways, NONLINEAR functions, DATA modeling

Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model.

Autoři: Fakieh, Bahjat AL-Ghamdi, Abdullah S. AL-Malaise Ragab, Mahmoud

Zdroj: Healthcare (2227-9032); Jun2022, Vol. 10 Issue 6, p1040-1040, 18p

Témata: OSTEOSARCOMA, COMPUTER-aided diagnosis, COMPUTER-assisted image analysis (Medicine), DEEP learning, BONE cancer

Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks.

Autoři: Prasad, Kashi Sai Lydia, E. Laxmi Rajesh, M. V. a další

Zdroj: Scientific Reports; 12/28/2024, Vol. 14 Issue 1, p1-23, 23p

Témata: OPTIMIZATION algorithms, COMPUTER input design, ARTIFICIAL intelligence, CYBERTERRORISM, DATABASES

Smart Education Analytics: Student Academic Performance Prediction Using Ensemble Of Deep Learning Models With Improved Pelican Optimization Algorithm.

Autoři: Chakrapani, Praveena Anthonisan, A.

Zdroj: International Journal of Environmental Sciences (2229-7359); 2025, Vol. 11 Issue 4, p126-138, 13p

Témata: LONG short-term memory, DATA mining, OPTIMIZATION algorithms, AUTOENCODERS, ARTIFICIAL intelligence, DEEP learning

Machine Learning in Fluid Dynamics—Physics-Informed Neural Networks (PINNs) Using Sparse Data: A Review.

Autoři: El Hassan, Mouhammad Mjalled, Ali Miron, Philippe a další

Zdroj: Fluids; Sep2025, Vol. 10 Issue 9, p226, 29p

Témata: MACHINE learning, FLUID dynamics, FLOW simulations, PHYSICAL laws, EMPIRICAL research, SPARSE approximations, TURBULENT flow

Enhanced instance selection for large-scale data using integrated clustering and autoencoder techniques.

Autoři: Nazari, Mohammad Saadatfar, Hamid

Zdroj: International Journal of Data Science & Analytics; Nov2025, Vol. 20 Issue 6, p5585-5602, 18p

A Novel Double-Stacked Autoencoder for Power Transformers DGA Signals With An Imbalanced Data Structure.

Autoři: Yang, Dongsheng Qin, Jia Pang, Yongheng a další

Zdroj: IEEE Transactions on Industrial Electronics; Feb2022, Vol. 69 Issue 2, p1977-1987, 11p

Témata: POWER transformers, FAULT diagnosis, ARTIFICIAL intelligence, DIAGNOSIS, TRANSFORMER insulation, DATA structures

IL-IDS: an incremental learning approach with confined data streams for intrusion detection.

Autoři: Li, Jianming Wang, Ye Jia, Yan a další

Zdroj: Cybersecurity (2523-3246); 10/29/2025, Vol. 8 Issue 1, p1-17, 17p

Témata: INTRUSION detection systems (Computer security), MACHINE learning, REAL-time computing, CLASSIFICATION algorithms, INTERNET security, AUTOENCODERS, STREAM measurements

Weighted time series fault diagnosis based on a stacked sparse autoencoder.

Autoři: Lv, Feiya Wen, Chenglin Liu, Meiqin a další

Zdroj: Journal of Chemometrics; Sep2017, Vol. 31 Issue 9, pn/a-N.PAG, 16p

Témata: CHEMICAL industry, STATISTICS, FAULT diagnosis, THRESHOLDING algorithms, MULTIVARIATE analysis, NONLINEAR analysis

EEG Motor imagery classification based on a ConvLSTM Autoencoder framework augmented by attention BiLSTM.

Autoři: Mirzaei, Sayeh Ghasemi, Parisa Bakhtyari, Mohammadreza

Zdroj: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 19, p20545-20566, 22p

Témata: LONG short-term memory, COGNITIVE psychology, MOTOR imagery (Cognition), MENTAL imagery, AUTOENCODERS

Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder.

Autoři: Mim, Mimusa Azim Tuhin, Md. Kamrul Hasan Nobi, Ashadun

Zdroj: PLoS ONE; 7/14/2025, Vol. 20 Issue 7, p1-25, 25p

Témata: EUROPEAN Sovereign Debt Crisis, 2009-2018, COVID-19 pandemic, GLOBAL Financial Crisis, 2008-2009, RECURRENT neural networks, RATE of return on stocks

Infusing structural assumptions into dimensionality reduction for single-cell RNA sequencing data to identify small gene sets.

Autoři: Hackenberg, Maren Brunn, Niklas Vogel, Tanja a další

Zdroj: Communications Biology; 3/11/2025, Vol. 8 Issue 1, p1-20, 20p

Témata: AUTOENCODERS, RNA sequencing, EMBRYOLOGY, EXPERIMENTAL design, HETEROGENEITY

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition.

Autoři: Chang, Yi Ren, Zhao Zhang, Zixing a další

Zdroj: IEEE Transactions on Affective Computing; Apr-Jun2025, Vol. 16 Issue 2, p861-874, 14p

A Deep Learning based Integrated Memory Aware Twin AutoEncoder Network for Anomaly Detection in Video Surveillance on Edge Devices.

Autoři: Suma, S. M., Ramakrishna

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 1, p1162-1172, 11p

Témata: ANOMALY detection (Computer security), AUTOENCODERS, DEEP learning, PUBLIC safety, VIDEO surveillance, SENSOR networks

Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation.

Autoři: Yang, Wei-Jong Wu, Chih-Chen Yang, Jar-Ferr

Zdroj: Sensors (14248220); Jan2025, Vol. 25 Issue 1, p80, 19p

Témata: CONVOLUTIONAL neural networks, TRANSFORMER models, AUTOENCODERS, STANDARD deviations, DEPTH maps (Digital image processing)

Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks.

Autoři: Azar, Joseph Al Saleh, Mohammed Couturier, Raphaël a další

Zdroj: Internet of Things (IoT); Jun2025, Vol. 6 Issue 2, p22-N.PAG, 22p

Témata: COMPUTER network traffic, TEXT mining, INDUSTRIAL controls manufacturing, AUTOENCODERS, ANOMALY detection (Computer security), DEEP learning

Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection.

Autoři: Almakayeel, Naif Lydia, E. Laxmi Razzhivin, Oleg a další

Zdroj: PLoS ONE; 7/28/2025, Vol. 20 Issue 7, p1-20, 20p

Témata: INTRACRANIAL hemorrhage, DEEP learning, COMPUTED tomography, ARTIFICIAL intelligence, FEATURE extraction, COMPUTER-assisted image analysis (Medicine)