Expert control systems implemented in a pitch control of wind turbine: A review

EC Navarrete, MT Perea, JCJ Correa… - IEEE …, 2019 - ieeexplore.ieee.org
Wind energy is the strongest renewable energy source developed in recent decades. Being
systems that are directly connected to the grid of the electrical system, it is essential to use …

Machine learning enhanced evaluation of semiconductor quantum dots

E Corcione, F Jakob, L Wagner, R Joos, A Bisquerra… - Scientific Reports, 2024 - nature.com
A key challenge in quantum photonics today is the efficient and on-demand generation of
high-quality single photons and entangled photon pairs. In this regard, one of the most …

Global sensitivity analysis methodology for construction simulation models: multiple linear regressions versus multilayer perceptions

S Wang, M Hasan, M Lu - Journal of Construction Engineering and …, 2024 - ascelibrary.org
In this research, the multilayer perceptron (MLP), also known as error backpropagation
neural networks, is made transparent and explainable by contrasting with the commonly …

The use of artificial neural network for low latency of fault detection and localisation in transmission line

VN Ogar, S Hussain, KAA Gamage - Heliyon, 2023 - cell.com
One of the most critical concerns in power system reliability is the timely and accurate
detection of transmission line faults. Therefore, accurate detection and localisation of these …

Control of the multi-timescale process using multiple timescale recurrent neural network-based model predictive control

NL Jian, H Zabiri, M Ramasamy - Industrial & Engineering …, 2023 - ACS Publications
This study attempts to offer an alternative to the problem of implementing model predictive
controllers (MPC) in conditions where the timescale multiplicity of the process model is not …

Revisiting bathymetry dynamics in Lake Urmia using extensive field data and high-resolution satellite imagery

M Danesh-Yazdi, M Bayati, M Tajrishy… - Journal of …, 2021 - Elsevier
Bathymetric mapping for an accurate estimation of stored water volume in drying lakes is a
key information for an effective monitoring of their recession or restoration status. Extraction …

A new student modeling technique with convolutional neural networks: Learnerprints

Ş Aydoğdu - Journal of Educational Computing Research, 2021 - journals.sagepub.com
Student modeling is one of the most important processes in adaptive systems. Although
learning is individual, a model can be created based on patterns in student behavior. Since …

[HTML][HTML] Machine learning–based approach for predicting pushover curves of low-rise reinforced concrete frame buildings

C Angarita, C Montes, O Arroyo - Structures, 2024 - Elsevier
Reinforced Concrete (RC) frame buildings are prevalent worldwide due to their seismic
performance and the broad availability of materials. Pushover analysis is regarded as one …

Raylı Sistemlerde Peron Ayırıcı Kapı Sistemi İçin Yapay Sinir Ağı Tabanlı Hata Teşhis Yaklaşımı

İ Koç, Ö Mermer, N Kırımça, M Karaköse - EMO Bilimsel Dergi, 2023 - dergipark.org.tr
Günümüzde demiryolu sektöründe tren taşımacılığının önemi göz önüne alındığında
endüstriyel Peron Ayırıcı Kapı Sistemi (PAKS) genellikle emniyet açısından kritik sistemler …

Spatiotemporal deep learning model for prediction of Taif Rose phenotyping

HM Abdelmigid, M Baz, MA AlZain, JF Al-Amri… - Agronomy, 2022 - mdpi.com
Despite being an important economic component of Taif region and the Kingdom of Saudi
Arabia (KSA) as a whole, Taif rose experiences challenges because of uncontrolled …