In this paper, we compared the predictive capabilities of six different machine learning
algorithms–linear regression, artificial neural network, random forest, extreme gradient …

Timely and accurate misalignment fault detection in rotor bearing systems is crucial for
reliable and efficient operation, especially in Industry 4.0 based condition monitoring. The …

Construction cost estimation is one of the essential processes in construction management.
Project cost is a complex engineering problem due to various factors affecting the …

Construction projects require significant funding and are exposed to several risks. Public
construction projects require a major proportion of the annual government budget. Their …

All across the world, the construction industry is a very crucial sector for development. Cost
prediction is the process of forecasting the cost of construction projects at an early stage. An …

Since the last decade, gearbox systems have been requiring increasing power, and
consequently, the complexity of systems has escalated. Inevitably, this complexity has …

In India, many farmers are facing the major problem of crop diseases. These diseases are
affecting growth and the quality of the crop. The crop diseases will occur due to change in …

Projects often experience cost overruns due to market uncertainty and price escalations.
Traditional cost estimation methods that rely on point estimation are incapable of providing …

Gold, share market and real estate investment are few of the most popular investment types.
Specifically, investment into real estate provides handsome returns. Housing price trends is …

The change in land use/land cover (LU/LC) serves as a significant indicator in detecting and
understanding landscape transformations due to its influence on the complex and dynamic …