UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Semi-Supervised Adversarial Variational Autoencoder

Machine learning and knowledge extraction, 2020-09, Vol.2 (3), p.361-378

Zemouri, Ryad

2020

Volltextzugriff (PDF)

Deep Learning in the Biomedical Applications: Recent and Future Status

Applied sciences, 2019-04, Vol.9 (8), p.1526

2019

Volltextzugriff (PDF)

Dimension reduction and 2D-visualization for early change of state detection in a machining process with a variational autoencoder approach

International journal of advanced manufacturing technology, 2020-12, Vol.111 (11-12), p.3597-3611

2020

Volltextzugriff (PDF)

Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model

Energies (Basel), 2023-06, Vol.16 (12), p.4544

2023

Volltextzugriff (PDF)

A new growing pruning deep learning neural network algorithm (GP-DLNN)

Neural computing & applications, 2020-12, Vol.32 (24), p.18143-18159

2020

Volltextzugriff (PDF)

System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform

IEEE access, 2024-01, Vol.12, p.1-1

2024

Volltextzugriff (PDF)

Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators

IEEE access, 2020, Vol.8, p.5438-5454

2020

Volltextzugriff (PDF)

Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer

Breast cancer (Tokyo, Japan), 2020-09, Vol.27 (5), p.1007-1016

2020

Volltextzugriff (PDF)

Defining and applying prediction performance metrics on a recurrent NARX time series model

Neurocomputing (Amsterdam), 2010-08, Vol.73 (13), p.2506-2521

2010

Volltextzugriff (PDF)

Fault Detection Based on Vibration Measurements and Variational Autoencoder-Desirability Function

IEEE open journal of industry applications, 2024, Vol.5, p.106-116

2024

Volltextzugriff (PDF)

Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder

Engineering applications of artificial intelligence, 2023-04, Vol.120, p.105859, Article 105859

2023

Volltextzugriff (PDF)

Ensemble Deep Learning Model for Phase-Resolved Partial Discharge Diagnosis in Hydrogenerators

IEEE transactions on dielectrics and electrical insulation, 2023-10, Vol.30 (5), p.1-1

2023

Volltextzugriff (PDF)

Predicting the quality of a machined workpiece with a variational autoencoder approach

Journal of intelligent manufacturing, 2023-02, Vol.34 (2), p.719-737

2023

Volltextzugriff (PDF)

Non-Invasive Detection of Rotor Inter-Turn Short Circuit in Large Hydrogenerators by Using Stray Flux Measurement Combined With Convolutional Variational Autoencoder Analysis (CVAE)

IEEE transactions on industry applications, 2024-01, Vol.60 (1), p.1-10

2024

Volltextzugriff (PDF)

Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models

Expert systems with applications, 2024-12, Vol.255, p.124603, Article 124603

2024

Volltextzugriff (PDF)

Non-invasive Detection of Rotor Inter-turn Short Circuit of a Hydrogenerator Using AI-Based Variational Autoencoder

IEEE transactions on industry applications, 2024-01, Vol.60 (1), p.1-10

2024

Volltextzugriff (PDF)

Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators

Computers in industry, 2023-10, Vol.151, p.103983, Article 103983

2023

Volltextzugriff (PDF)

On the Use of Indirect Measurements in Virtual Sensors for Renewable Energies: A Review

Electronics (Basel), 2024-04, Vol.13 (8), p.1545

2024

Volltextzugriff (PDF)

Hydro-generators fault diagnosis with short-time-wavelet-entropy and variational auto-encoder

IOP conference series. Materials Science and Engineering, 2021-11, Vol.1207 (1), p.12009

2021

Volltextzugriff (PDF)

Neural network: A future in pathology?

Annales de pathologie, 2019-04, Vol.39 (2), p.119

2019

Volltextzugriff (PDF)

Autonomous and adaptive procedure for cumulative failure prediction

Neural computing & applications, 2012-03, Vol.21 (2), p.319-331

2012

Volltextzugriff (PDF)

WITHDRAWN: Recurrent NARX time series model prediction: A feedforward and recurrent radial basis function network

Neural networks, 2010-04

2010

Volltextzugriff (PDF)

Neural network: A future in pathology?

Annales de pathologie, 2019-04, Vol.39 (2), p.119-129

2019

Volltextzugriff (PDF)

Intelligence artificielle : quel avenir en anatomie pathologique ?

Annales de pathologie, 2019-04, Vol.39 (2), p.119-129

2019

Volltextzugriff (PDF)

Development of a Methodology to Automatically Identify Active PD Sources from Phase Resolved Partial Discharge Patterns

2023 IEEE Electrical Insulation Conference (EIC), 2023, p.1-4

2023

Volltextzugriff (PDF)

1 – 25 von 65

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(29)
Mit Volltextzugriff
(50)

Publikationsform

Sprache

Englisch
(63)
Französisch
(3)

Erscheinungsjahr

n.n

Thema

Computer Science
(38)
Machine Learning
(37)
Science & Technology
(36)
Technology
(32)
Engineering
(24)
Engineering, Electrical & Electronic
(16)
Artificial Intelligence
(14)
Deep Learning
(11)
Computer Science, Artificial Intelligence
(10)
Neural Networks
(10)
Variational Autoencoder
(10)
Artificial Neural Networks
(9)
Diagnosis
(9)
Automation & Control Systems
(8)
Engineering, Multidisciplinary
(8)
Fault Detection
(8)
Feature Extraction
(8)
Monitoring
(7)
Partial Discharges
(7)
Fault Diagnosis
(6)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(4)

Menü

Weitere Dienste

Einstellungen

Semi-Supervised Adversarial Variational Autoencoder

Deep Learning in the Biomedical Applications: Recent and Future Status

Dimension reduction and 2D-visualization for early change of state detection in a machining process with a variational autoencoder approach

Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model

A new growing pruning deep learning neural network algorithm (GP-DLNN)

System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform

Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators

Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer

Defining and applying prediction performance metrics on a recurrent NARX time series model

Fault Detection Based on Vibration Measurements and Variational Autoencoder-Desirability Function

Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder

Ensemble Deep Learning Model for Phase-Resolved Partial Discharge Diagnosis in Hydrogenerators

Predicting the quality of a machined workpiece with a variational autoencoder approach

Non-Invasive Detection of Rotor Inter-Turn Short Circuit in Large Hydrogenerators by Using Stray Flux Measurement Combined With Convolutional Variational Autoencoder Analysis (CVAE)

Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models

Non-invasive Detection of Rotor Inter-turn Short Circuit of a Hydrogenerator Using AI-Based Variational Autoencoder

Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators

On the Use of Indirect Measurements in Virtual Sensors for Renewable Energies: A Review

Hydro-generators fault diagnosis with short-time-wavelet-entropy and variational auto-encoder

Neural network: A future in pathology?

Autonomous and adaptive procedure for cumulative failure prediction

WITHDRAWN: Recurrent NARX time series model prediction: A feedforward and recurrent radial basis function network

Neural network: A future in pathology?

Intelligence artificielle : quel avenir en anatomie pathologique ?

Development of a Methodology to Automatically Identify Active PD Sources from Phase Resolved Partial Discharge Patterns

Suchergebnisse filtern