… To this end, the study focuses on: (i) Assessing AI models’ status and the need for
explainability through SLR and bibliometric analysis. (ii) Develop DL and ML models for PdM. (iii) …

… of smart manufacturing, predictive maintenance (PdM) … state-of-the-art predictive maintenance
applications across diverse … The study classifies predictive maintenance solutions based …

… This article presents a bibliometric analysis of the subjects related to Digital Manufacturing,
… the predictive maintenance, and together with the Internet of Things for real-time monitoring. …

… The bibliometric analysis in this study reveals that from the 516 documents studied, they …
Figures 13 and 14 below show the network visualization of bibliometric analysis of co-citation of …

… divided into bibliometric, thematic, and SWOT analyses. For the bibliometric analysis, we …
[44] reviewed some Machine Learning techniques for predictive maintenance to highlight the …

… analysis. Using appropriate software, we conduct bibliometric analyses of the sample
articles … include citation, cocitation analysis, centrality co-occurrence analysis, and co-authorship …

… a bibliometric study to investigate and quantify the most important concepts, areas of
application, methodologies, and significant trends of AI used in real-time predictive maintenance in …

… This paper reviews existing literature in order to present an up-to-date, content-based
analysis based on a coupled methodology consisting of bibliometric performance analysis and …

… as predictive maintenance and additive manufacturing, which may be potential hot topics
for future studies. Additionally, the search for emotion recognition to enhance road safety and …

… In this way, the aim of this contribution is to develop a bibliometric analysis that evaluates …
Collection and analyzed using advanced bibliometric tools, techniques, and methodologies. …