Hafiz Muhammad Musharaf

Data-driven prediction and thermodynamic performance assessment of industrial cooling towers using advanced machine learning algorithms

Syed Rehman Jamil, Adeel Shehzad, Muhammad Usman, Muhammad Mujtaba Abbas, Omama Zainab Qaisrani, Muhammad Wajid Saleem, et al.

Cooling towers are an important part of the thermal system in industries, where they are used to remove unwanted heat and help maintain the proper performance of the machines. Four machine learning algorithms, namely random forest, support vector machine (SVM), decision tree, and…Read more