the cold climate is a favorable parameter for the development of tension cracks and decrease of rock brittleness. therefore, this paper attempts to investigate the hamekasi porous limestone in order to predict the brittleness indices during freeze-thaw cycles. the freeze–thaw test was executed for one cycle including 16 h of freezing, and 8 h of thawing. the geo mechanical properties and brittl...

The purpose of this article is to identify the differences in various aspects perception artificial intelligence by students economics and business studies at different levels study and, on basis, formulate recommendations both higher education institutions themselves, which educate field economic sciences, as well curriculum designers. First, we utilized descriptive statistics analyze response...

Abstract Indonesia is an island nation with geographical conditions that are bounded by many seas and mountains. The situation causes the condition of islands far apart from one another. This certainly affects social, economic, technological, related interactions in daily life, which level educational progress region / other regions islands. influenced how learning system implemented place. To ...

The increase in population has increased the need for agricultural and food products, thus production should be increased. This goal may cause increases emissions environmental impacts by increasing consumption of inputs. prediction plays an important role evaluating pollutant crop production. study employed two artificial intelligence (AI) methods: adaptive neuro-fuzzy inference system–fuzzy c...

This paper presents multiple methods for predicting heavy/mediumduty vehicle fuel consumption based on driving cycle information. A polynomial model, a black box artificial neural net model, a polynomial neural network model, and a multivariate adaptive regression splines (MARS) model were developed and verified using data collected from chassis testing performed on a parcel delivery diesel tru...