Complex industrial problems coupled with the availability of a more robust computing
infrastructure present many challenges and opportunities for machine learning (ML) in the …

This paper conducts a comprehensive review of empirical methods of pavement
performance modeling. The paper firstly analyzes performance measures used in existing …

This study presents a hybrid approach that integrates seasonal-trend decomposition and
machine learning (termed STL-ML) for predicting the rainfall time series one step ahead …

Accurate pavement condition prediction is a vital aspect of pavement management because
it informs the timing, budgeting and operational impact of maintenance and repair. This …

Generally, intervention activities that require excavations tend to create negative socio-
economic impacts, such as increased traffic congestion and travel time, noise and air …

Abstract The dynamic modulus (| E*|) of hot-mix asphalt (HMA) is a crucial mechanistic
characteristic essential in defining the strain response of asphalt concrete (AC) mixtures …

With the advent of the digital age in recent years, the application of artificial intelligence in
urban Internet of Things (IoT) systems has become increasingly important. The concept of …

The unsustainable way of burying utilities has resulted in difficulties in regular maintenance,
which is one of the main reasons for the poor state of these utilities. Accessing these utilities …

A critical component in airfield pavement management systems (PMS) is pavement
condition, both its current state and future condition. Decision-makers need this information …