Nowadays, modern engineering systems require sophisticated maintenance strategies to
ensure their correct performance. Maintenance has become one of the most important tasks …

Worldwide, buildings are responsible for almost 30% of energy consumption, and those
buildings that intensively use refrigeration systems, such as supermarkets and grocery …

Nuclear power plants (NPPs) are required to operate on a flexible profitable production plan
while guaranteeing high safety standards. Deep reinforcement learning (DRL) is an effective …

Road maintenance systems (RMS) are crucial for maintaining safe and efficient road
networks. The impact of climate change on road maintenance systems is a concern as it …

The significant computational costs and efforts required for accurate three-dimensional (3D)
finite element (FE) pavement response calculations necessitate an expedited approach …

This paper presents a rainfall forecast-based real-time optimal operation model of urban
drainage systems (UDSs) investigating the role of rainfall forecasts in predictive real-time …

In the Industrial Internet, the failure prediction and health management of industrial
equipment can help managers to further predict and determine the damage and danger of …

Pavement life cycle assessments (LCAs) enable decision-makers to evaluate the
environmental impact of alternative maintenance, rehabilitation, and reconstruction …

This thesis explores the use of machine learning techniques for road infrastructure
maintenance. We propose an innovative machine learning-based approach to improve the …

Bridges are critical components of the transportation network, and their performance
degradation can severely impact economic development and social mobility. Traditional …