[HTML][HTML] Random vector functional link network: recent developments, applications, and future directions

AK Malik, R Gao, MA Ganaie, M Tanveer… - Applied Soft …, 2023 - Elsevier
Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

[HTML][HTML] Prediction of rock blasting induced air overpressure using a self-adaptive weighted kernel ridge regression

R Zhang, Y Li, Y Gui - Applied Soft Computing, 2023 - Elsevier
Blasting operations are widely recognized as the most frequently used rock breakage
approach in the field of Civil and Mining Engineering. However, the induced air …

Graph embedded intuitionistic fuzzy RVFL for class imbalance learning

MA Ganaie, M Sajid, AK Malik, M Tanveer - arXiv preprint arXiv …, 2023 - arxiv.org
The domain of machine learning is confronted with a crucial research area known as class
imbalance learning, which presents considerable hurdles in the precise classification of …

Fast and Accurate Short-Term Load Forecasting with a Hybrid Model

SM Shin, A Rasheed, P Kil-Heum, KC Veluvolu - Electronics, 2024 - mdpi.com
Short-term electric load forecasting (STLF) plays a pivotal role in modern power system
management, bolstering forecasting accuracy and efficiency. This enhancement assists …

Prediction and Minimization of Blast induced Air-Overpressure Using Kernel Extreme Learning Machine and Jaya Algorithm

R Zhang, Y Li, Y Gui - Proceedings of the 26th World Mining …, 2023 - eprints.qut.edu.au
Blasting operations are frequently used in the field of Civil and Mining Engineering.
However, the air overpressure (AOp) induced by blasting operation can cause damages to …