… This study aims to cluster and classify national innovation systems (NISs) dynamically based
on analysing the structural differences among NISs’ dimensions. This study provides a tool …

… Our main focus is on the study of mathematical models of national innovation systems and
models using … Machine learning approach for national innovation performance data analysis. …

… Compared with the existing statistical methods, it is a novel model, to … innovation capability
in terms of machine learning. It overcomes the shortcomings of the original statistical methods …

… analysis to develop predictions relating to the level of national innovation through machine
learning. (… innovation by taking the case of Ukraine. The results show that for technological …

… Because of the development of AI, introduced are such advanced method of analysis. For
example, the technologies of deep learning and computer vision are able to provide more …

… Given the above analyses and research efforts done in this field, we believe that machine
learning-based solutions are opening up a promising direction worldwide and can be used as …

… of the construction method. The PCA-DEA model introduced in this paper provides policymakers
with an effective tool to monitor the performance of national innovation policies from the …

… already used machine learning based approached to … machine learning classifier and
collected data for 507 patients. For their analysis, they used various machine learning approaches …

… This article reviews machine learning methods for bioinformatics and it presents modelling
methods. Moreover, the document year is 2006, so before I4.0 was introduced. Therefore, …

… innovation in cities. Adopting a social network lens, we argue that the innovation performance
… Therefore, we analyze two types of intercity collaboration (extralocal interaction) networks …