This paper presents a new approach to predictive analysis for social processes. Part I
identifies a class of social processes, called positive externality processes, which are both …

Predictive analytics is a term mainly used in statistical and analytics techniques. This term is
drawn from statistics, machine learning, database techniques and optimization techniques. It …

In this study, the evaluation of biogas production potential from 5 raw and processed
agricultural wastes: soybean residues, papaya peels, sugarcane bagasse's, rice straws and …

The aim of this research is to study, monitor, map**, planning, distribute and locate
Government PHCCs in the selected study area. This information is to be held on a database …

This study presents an analysis of three models associated with artificial intelligence as tools
to forecast the generation of urban solid waste in the city of Bogota, in order to learn about …

The identification of causative factors and implementation of measures to mitigate work zone
crashes can significantly improve overall road safety. This study introduces a Self-Paced …

The Municipal solid waste (MSW) is a result of human activities. Accurate forecasting of
MSW generation is crucial for sustainable management systems and planning. MSW is …

This paper presents a new approach to predictive analysis for social processes. Part I
identifies a class of social processes, called positive externality processes, which are both …

Crash severity models are often used to analyze the adverse effects of highway work zones
on traffic safety. In this study we evaluated application of hybrid support vector machine …

Enhancing academic engagement in university students can help enrich students'
educational experience. Drawing on the Conservation of Resources Model and the Job …