Abstract Detecting changes in data streams, with the flowing continuously, is an important problem which Industry 4.0 has to deal with. In industrial monitoring, distribution may vary after a change machine’s operating point; this situation known as concept drift, and it key detecting change. One drawback of conventional machine learning algorithms that they are usually static, trained offline,...

Pattern formation is crucial for maintaining biodiversity and cooperation in nature and human society. We review recent works on the formation of spatial patterns in the framework of evolutionary games, involving rock-paper-scissors game and social dilemmas. The rock-paper-scissors game, as a basic paradigm for characterizing nonhierarchical cyclical competition in ecosystems, has been widely u...

The population dynamics of single species can be understood only in the context of interactions within an ecological community. In this study we used theoretical and empirical models to describe the spatial pattern of the Afrotropical leaf beetles Mesoplatys ochroptera Stål, Exosoma and Ootheca spp. defoliating the agroforestry tree (Sesbania sesban (L.) Merril). We used the Poisson, negative b...

Abstract: The spatial pattern analysis can be used to discover the distribution of people’s behaviors in space. Traditional spatial pattern analysis does not consider the decision making process of human activities. This paper presents two adjusted spatial choice models that include models of decision-making process. These new adjusted spatial choice models are applied to detect the spatial pat...