Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...

This is the preface for the book by E. N. Dzhafarov, J. V. Kujala, and V. H. Cervantes, titled Contextuality in Random Variables: A Systematic Introduction. It is to be published by Cambridge ...

Among the most powerful tools we have as programmers—perhaps the most powerful tools—are functions. We’ve already seen some built-in Python functions, for example, print() and type(). We’ll see many ...

The trade-off between the security and efficiency of a lightweight crypto design is interlinked with the fine harnessing of entropy sources. Merging this source with a finite random sequence is an ...

Abstract: The deviation settlement mechanism (DSM) scheme enforces strict regulations on microgrid operators to comply with generation commitment norms set by grid operators. These norms are essential ...

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...

Body found in bushfire-hit area, prime minister and premier visit devastated town ‘Abhorrent’: PM slams Elon Musk’s Grok Hawaiian shirts, shorts and cutting-edge weapons: A dive into the world of ...

When you have a density function, but you would like to create a set of sample points from that density function, you can use linear interpolate sampling. Using the evaluation of the density at the ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

The new Microsoft.Azure.Functions.Worker.ApplicationInsights preview package solves a lot of issues around using Application Insights in isolated worker function apps. 👍 One thing that still seems to ...