The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains.

This shift acts as a force multiplier for computational thinking skills, and more people can supercharge their problem-solving capabilities.

For more than forty years, approximate solutions for the classical pipe network analysis problem have been obtained by direct solution of the nonlinear stationary point conditions. We propose a ...

Employers are increasingly looking for problem-solving skills in their workforce, according to the Future of Jobs report by the World Economic Forum.

Our computational results indicate that the algorithm was successful in solving problems with up to 200 nodes and fairly wide time windows. When the density of the nodes in the geographical region was ...

These techniques were devised for engineering and design problems, which involve solving practical goals, such as building a bridge, using physical materials, such as bricks and cement.