The objective of the present study is to develop and evaluate machine learning-based
prediction models, employing the artificial neural networks (ANNs), Genetic Programming …

In this study, the employment of the gene expression programming (GEP) technique in
forecasting models on sustainable construction materials including mineral admixtures and …

Abstract International Roughness Index (IRI) is a pavement performance indicator which
reflects not only the pavement condition but also the ride quality and comfort level of road …

This study hybridized the ensemble and weight optimization approaches with an artificial
neural network (ANN) algorithm to forecast the dynamic modulus (E*) of asphalt concrete …

This comprehensive textbook covers all aspects of pavement engineering. The content takes
into account new developments and includes both the recently completed European norms …

Dynamic modulus of asphalt concrete, which is a key parameter characterizing its
performance, can be either measured in the laboratory through time-taking and expensive …

Selection of aggregate gradation and binder content for asphalt mix design, which comply
with specification requirements, is a lengthy trial and error procedure. Success in performing …

Evaluating the hot mix asphalt (HMA) expected performance is one of the significant aspects
of highways research. Dynamic modulus (E*) presents itself as a fundamental mechanistic …

ABSTRACT Dynamic modulus (| E∗|) of asphalt can be estimated using predictive models to
avoid the time-taking and costly laboratory-based measurements. Several predictive models …

Dynamic modulus (E∗) plays a dominant role in comprehensively capturing the mechanical
behavior of asphalt mixture. Many researchers tried to consider E∗ as a performance …