Advanced computer science and applications for soft computing of converged IT environments

Abstract

IntroductionThis special issue is to gather new soft computing trends and methodological recent advances on a wide range of problems arising in different fields to handle practical data of converged environment. Many advanced computational methods have been successfully applied to a range of optimization and classification problems in soft computing, but there are still many practical problems tackled by traditional methods that are generally difficult to solve experimentally in practical converged data. More specifically, many computational problems arising in the fields of scientific programming have been addressed in AI, HPC, large-scale data mining, etc., that handles practical converged data. Submissions are welcomed on scientific programming applied to optimization in practical data. We invite researchers and practitioners to submit their original research articles and theoretical articles.This special issue is soliciting high-quality technical papers addressing research practices and challenges in the areas of ubiquitous computing. It will reflect the state of the art of the computational methods, involving theory, algorithm, numerical simulation, error and uncertainty analysis, and/or novel application of new processing techniques in engineering, science, and other disciplines related to ubiquitous computing.