… 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 …

… This study investigates national intelligence innovation through machine learning methods.
… the GIII index system, we first review the literature concerning national innovation. The …

… and performance. In this study, an ensemble machine learning method is accordingly proposed.
… Consequently, in this research, the application of one of the essential machine learning …

… 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. …

… To carry out a comparative analysis of the EU countries’ national innovation systems (NIS), …
, education, and innovation. The feature vector is a valid multidimensional data set of sixteen …

… In summary, with the exploitation of high-resolution computer vision and other machine
learning models, it is possible to detect the production footprint in regards to the (nano-)materials …

… 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 …

… or statistical methods. The past works are recently reviewed in Qin (2012), Ge et al. (2013), …
variable methods as a subset of the statistical learning methods, the field of machine learning …

… on financial performance and innovation performance. The research … the financial performance
and innovation performance of … the quantity of innovation by implementing intelligent …

… 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 …