[HTML][HTML] Review of advanced road materials, structures, equipment, and detection technologies

JREE Office, MC Cavalli, D Chen, Q Chen… - Journal of Road …, 2023 - Elsevier
As a vital and integral component of transportation infrastructure, pavement has a direct and
tangible impact on socio-economic sustainability. In recent years, an influx of …

[HTML][HTML] Advanced industrial informatics towards smart, safe and sustainable roads: A state of the art

H Yao, Z Xu, Y Hou, Q Dong, P Liu, Z Ye, X Pei… - Journal of traffic and …, 2023 - Elsevier
The road is one of the most important civil infrastructures for serving society, where its
service quality and life have direct impacts on the safety and comfort of users. Therefore …

An adaptive hybrid mutated differential evolution feature selection method for low and high-dimensional medical datasets

RR Mostafa, AM Khedr, Z Al Aghbari, I Afyouni… - Knowledge-Based …, 2024 - Elsevier
Feature selection (FS) constitutes a crucial endeavor in classification procedures, aiming to
identify the minimal subset of features that maximizes classification accuracy. In the realm of …

The impacts of nano-SiO2 and silica fume on cement kiln dust treated soil as a sustainable cement-free stabilizer

S Ghavami, H Naseri, H Jahanbakhsh… - Construction and Building …, 2021 - Elsevier
This investigation aims to assess the nano-silica and silica fume effectiveness on
engineering clay soils' characteristics stabilized with cement kiln dust. Laboratory tests …

A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression

H Naseri, H Jahanbakhsh, A Foomajd… - … Journal of Pavement …, 2023 - Taylor & Francis
Develo** an accurate pavement prediction model plays a dominant role in pavement
M&R optimization. Despite employing different robust machine learning techniques to …

Develo** an optimized faulting prediction model in Jointed Plain Concrete Pavement using artificial neural networks and random forest methods

M Ehsani, F Moghadas Nejad… - International Journal of …, 2023 - Taylor & Francis
Predicting faulting failure is useful in the optimal concrete pavement design. In this study,
artificial neural networks and the random forest method have been used to predict the …

A novel evolutionary learning to prepare sustainable concrete mixtures with supplementary cementitious materials

H Naseri, P Hosseini, H Jahanbakhsh… - Environment …, 2023 - Springer
In this study, sustainable mixture designs of three concrete types, including fly ash concrete,
silica fume concrete, and ground granulated blast furnace slag concrete, were investigated …

Prediction of low-temperature fracture resistance curves of unmodified and crumb rubber modified hot mix asphalt mixtures using a machine learning approach

S Ghafari, M Ehsani, FM Nejad - Construction and Building Materials, 2022 - Elsevier
Fracture resistance curves (R-curves) provide a robust tool for a comprehensive insight into
the crack propagation regime in engineering materials. In this paper, an extensive research …

Evolutionary and swarm intelligence algorithms on pavement maintenance and rehabilitation planning

H Naseri, M Shokoohi, H Jahanbakhsh… - … Journal of Pavement …, 2022 - Taylor & Francis
ABSTRACT Maintenance and Rehabilitation (M&R) scheduling is one of the vital aspects of
a pavement management system (PMS). This study aims to establish accurate M&R plans …

Toward sustainability in optimizing the fly ash concrete mixture ingredients by introducing a new prediction algorithm

H Naseri, H Jahanbakhsh, K Khezri… - Environment …, 2022 - Springer
Concrete is the most utilized human-made material that has been used in the construction
industry. The global concrete demand is rapidly increasing, and accordingly, designing …