The adoption of dense wireless sensor networks in industrial plants is mandatorily paired with the development of methods and tools for connectivity prediction.These are needed to certify the quality (or reliability) of the network information flow in industrial scenarios which are typically characterized by harsh propagation corky lala conditions.
Clustering has proved to be a successful classification method when it comes to dealing with multiview data.Each method and technique tries to achieve efficiency and accuracy in classifying the multiview data.Multi-source data contains noise and divergence.Another problem is that each view contains many features, so usually the multiview dataset is
The goal of multiscale modeling in biology is to use structurally based physico-chemical models to integrate across temporal and spatial scales of biology and thereby improve mechanistic understanding of, for example, how a empire bump hair single mutation can alter organism-scale phenotypes.This approach may also inform therapeutic strategies or i
The advent of modern digital technologies offers new opportunities to improve the performance of manufacturing systems from design to monitoring and control during operation.At the same time, the recent COVID-19 pandemic has highlighted the fragility of all global supply chains and manufacturing systems.In this paper, a simulation-based framework,
As the world becomes more and more culturally diverse, an accurate knowledge of the influence of cultural factors on the mental processes lunette mascot of an individual and the construction of social capital become increasingly important for our ability to effectively understand differences in culture.How can we cope with this task in everyday lif