In recent years, there has been a heightened focus among researchers and policymakers on
assessing the environmental impact and sustainability of human activities. In this context, the …

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 …

As the global elderly population continues to rise, the risk of severe crashes among elderly
drivers has become a pressing concern. This study presents a comprehensive examination …

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 …

Road crashes are a major problem for traffic safety management, which usually causes flash
crowd traffic with a profound influence on traffic management and communication systems …

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 …