Understanding the data and reaching accurate conclusions are of paramount importance in
the present era of big data. Machine learning and probability theory methods have been …

A few recent studies revealed that the intensity of UHI is increasing in medium-class cities
due to the rapid degradation of natural vegetation covers. This study explores the patch …

Accurate forecasting's of solar radiation are crucial to quantifying future solar power
production or integration. The integration of solar energy into the electricity grid has become …

The “change management” process is a helpful approach for changing the environment of
business companies to go ahead in the upcoming days. It has been known that the …

Abstract The Newton–Raphson (NR) method is one of the most ubiquitous approaches with
several applications in numerous areas to find the optimization solution. It has long been …

Wind power is becoming a main alternative energy source to meet the growing electricity
needs. Forecasting wind speed is important to mitigate generation uncertainty and optimize …

In agriculture, technologies support the productivity and competitiveness of production
systems in value chains. In the last decade, the Colombian avocado sub-sector has …

This study assessed the association between shocks, socio-economic factors, and
household food security across Kenya, and provided policy implications for achieving the …

Although researchers posit that creativity leads to more unethical behavior, findings have
been mixed. The inconsistency may stem from previous studies prioritizing novelty over …

Statistics have been widely used in many disciplines including science, social science,
business, engineering, and many others. One of the most important areas in statistics is to …