AN EXTREME LEARNING MACHINE AND GENE EXPRESSION PROGRAMMING-BASED HYBRID MODEL FOR DAILY PRECIPITATION PREDICTION

Accurate daily precipitation prediction is crucially important.However, it is difficult to predict the precipitation accurately due to inherently complex meteorological factors and dynamic behavior of weather.Recently, considerable attention has been devoted in soft computing-based prediction approaches.This work presents a scheme to reduce the ris

The coexistence of carbon neutrality and capitalism can be realized if environmentally friendly management is proven to enhance profitability.The focus of green logistics practices (GLPs) is on maximizing energy efficiency in logistics services, potentially leading to cost reductions for companies.Such practices can be supported through public repo