The boiling point rise (BPR) is a critical parameter in the operation and optimal design of a
multi-stage flash desalination system. Accurate prediction of BPR would increase the …

Early detection of water leakages is crucial due to their social, environmental, and economic
impacts. In this regard, machine learning (ML) algorithms have been proposed in the …

A common practice in the construction of the garage floors of residential and office buildings
is the construction of the concrete slab in two steps: one thick layer at the beginning of the …

The quality of data in a pavement management system (PMS) has a direct impact on
pavement maintenance and rehabilitation (M&R) decisions and management. However …

Despite the considerable advancements in automated identification methods of highway
hidden distress with ground-penetrating radar (GPR) images, there still exist challenges in …

Road surface anomalies can damage pedestrians, vehicles, and vehicle users. The above
has motivated using signal processing and machine learning algorithms to develop systems …

In recent years, methods of road damage detection, recognition and classification have
achieved remarkable results, but there are still problems of efficient and accurate damage …

Traditional manual diagnosis methods are often used in teaching and practice of vehicle
faults diagnosis. It leads to low accuracy in detecting abnormal sound in vehicles and low …

Energy distribution companies in Brazil face the critical challenge of maintaining an accurate
database for public lighting networks to ensure precise billing of city councils. Changes in …