“…Recent fascinating advances in machine learning (ML) tools resulted in their applications in different academic and industrial areas, including nanotechnology 26 , solar energy utilization 27 , energy efficiency 28 , renewable energy forecasting 29 , biomass, biofuels, and environmental preservation 30 . On the grounds, different topologies of ML such as artificial neural networks (ANNs) 31 , adaptive neuro-fuzzy inference systems (ANFIS) 32 , the support vector regression (SVR), random forest (RF), and group method of data handling (GMDH) have been widely applied to the paradigm design, data mining, fault tracing, and algorithm detection.…”