Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power
Accurate photovoltaic (PV) power prediction is necessary for future development of the micro-
grids projects and the economic dispatch sector. This study investigates the potential of …
grids projects and the economic dispatch sector. This study investigates the potential of …
Ensemble deep learning-based models to predict the resilient modulus of modified base materials subjected to wet-dry cycles
M Esmaeili-Falak, RS Benemaran - Geomechanics and …, 2023 - koreascience.kr
The resilient modulus (MR) of various pavement materials plays a significant role in the
pavement design by a mechanistic-empirical method. The MR determination is done by …
pavement design by a mechanistic-empirical method. The MR determination is done by …
Equilibrium optimizer: a comprehensive survey
Equilibrium optimizer (EO) is a recent optimization method inspired by the physical equation
of the mass balance that provides the conservation of mass entering, leaving, and …
of the mass balance that provides the conservation of mass entering, leaving, and …
International Roughness Index prediction for flexible pavements using novel machine learning techniques
MR Kaloop, SM El-Badawy, JW Hu… - … Applications of Artificial …, 2023 - Elsevier
Abstract International Roughness Index (IRI) is an important pavement performance
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …
[HTML][HTML] Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms
Resilient modulus (Mr) of subgrade soils is one of the crucial inputs in pavement structural
design methods. However, the spatial variability of soil properties and the nature of test …
design methods. However, the spatial variability of soil properties and the nature of test …
[HTML][HTML] Prediction models for evaluating resilient modulus of stabilized aggregate bases in wet and dry alternating environments: ANN and GEP approaches
Stabilized aggregate bases are vital for the long-term service life of pavements. Their
stiffness is comparatively higher; therefore, the inclusion of stabilized materials in the …
stiffness is comparatively higher; therefore, the inclusion of stabilized materials in the …
Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface
L Alkhattabi, K Arif - Materials Today Communications, 2024 - Elsevier
The flexible pavement system consists of layers that are made up of a blend of aggregates
and bitumen. To design flexible pavement systems that are both safe and environmentally …
and bitumen. To design flexible pavement systems that are both safe and environmentally …
Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils
ABSTRACT The Resilient Modulus (Mr) is perhaps the most relevant and widely used
parameter to characterise the soil behaviour under repetitive loading for pavement …
parameter to characterise the soil behaviour under repetitive loading for pavement …
[HTML][HTML] Multi‑strategy Equilibrium Optimizer: An improved meta-heuristic tested on numerical optimization and engineering problems
Y Li, X Liang, J Liu, H Zhou - Plos one, 2022 - journals.plos.org
The Equilibrium Optimizer (EO) is a recently proposed intelligent optimization algorithm
based on mass balance equation. It has a novel principle to deal with global optimization …
based on mass balance equation. It has a novel principle to deal with global optimization …
A novel approach for asphalt pavement invisible distress classification prediction by machine learning algorithms
J Shi, S Jia, C Bai, D Wang - International Journal of Pavement …, 2024 - Taylor & Francis
The detection and identification of road invisible distress (ID) has always been a key issue of
concern for pavement maintenance and rehabilitation (M&R) optimisation, especially for …
concern for pavement maintenance and rehabilitation (M&R) optimisation, especially for …