[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] Machine learning for prediction of the international roughness index on flexible pavements: A review, challenges, and future directions

T Tamagusko, A Ferreira - Infrastructures, 2023 - mdpi.com
Timely maintenance of road pavements is crucial to ensure optimal performance. The
accurate prediction of trends in pavement defects enables more efficient allocation of funds …

Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain

H Moayedi, M Salari, AA Dehrashid, BN Le - … Environmental Research and …, 2023 - Springer
In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …

Machine learning for predicting concrete carbonation depth: a comparative analysis and a novel feature selection

M Ehsani, M Ostovari, S Mansouri, H Naseri… - … and Building Materials, 2024 - Elsevier
The accurate prediction of concrete carbonation depth is essential to prevent concrete from
cracking and corrosion. However, identifying the critical parameters affecting carbonation …

Compression behavior of the concrete-filled double skin steel tube columns under hydrostatic pressure: Experimental and modeling study

STN Aghamaleki, M Naghipour, JV Amiri… - Structures, 2023 - Elsevier
This paper conducted an experimental study focusing on the axial compressive behavior of
circular concrete-encased concrete-filled steel tubular (CFDST) columns composed of a …

Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators

B Mehdizadeh Khorrami, A Soleimani… - Asian Journal of Civil …, 2024 - Springer
Residential buildings are a significant source of energy consumption and greenhouse gas
emissions, making it crucial to accurately predict their energy demand for reducing their …

[HTML][HTML] A novel technique for multi-objective sustainable decisions for pavement maintenance and rehabilitation

H Naseri, A Aliakbari, MA Javadian, A Aliakbari… - Case Studies in …, 2024 - Elsevier
To maintain pavement in good condition while considering financial costs and sustainability,
it is necessary to develop a comprehensive pavement management plan. Pavement …

Evolution of prediction models for road surface irregularity: Trends, methods and future

Y Wu, Y Pang, X Zhu - Construction and Building Materials, 2024 - Elsevier
In the modern era, the importance of prioritizing traffic safety has become increasingly
evident, requiring dedicated focus. An effective strategy for improving traffic safety involves …

Application of machine learning to child mode choice with a novel technique to optimize hyperparameters

H Naseri, EOD Waygood, B Wang… - International Journal of …, 2022 - mdpi.com
Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous
studies have focused on TMC in adults, whereas predicting TMC in children has received …

Enhancing stock market prediction accuracy with recurrent deep learning models: A case study on the CAC40 index

A Tashakkori, N Erfanibehrouz, S Mirshekari… - World Journal of …, 2024 - wjarr.co.in
This paper explores the application of Recurrent Neural Networks (RNNs) and Long Short-
Term Memory (LSTM) networks for stock price prediction over a 10-day horizon. The study …