This paper presents a bibliometric analysis of the scientific literature related to chatbots,
focusing specifically on ChatGPT. Chatbots have gained increasing attention recently, with …

We present a method, including tool support, for bibliometric mining of trends in large and
dynamic research areas. The method is applied to the machine learning research area for …

Tujuan Penenlitian untuk menganalisis perkembangan publikasi terkait pemanfaatan
teknologi Chat GPT dalam bidang pendidikan. Metode penelitian adalah studi literatur …

The continuous accumulation of operational data has provided an ideal platform to devise
and implement customized data analytics for smart HVAC fault detection and diagnosis. In …

Despite a surge in interest in GNN development, homogeneity in benchmarking datasets still
presents a fundamental issue to GNN research. GraphWorld is a recent solution which uses …

In recent years, artificial intelligence has had a conspicuous growth in almost every aspect of
life. One of the most applicable areas is security code review, in which a lot of AI-based tools …

Abstract Knowledge graph technology is widely applied in the domain of general knowledge
reasoning with an excellent performance. For fine-grained professional fields, professional …

This article proposes a novel approach that leverages graph theory, machine learning, and
graph embedding to evaluate research groups comprehensively. Assessing the …

In this work we combine sentiment analysis with graph theory to analyze user posts,
likes/dislikes on a variety of social media to provide recommendations for YouTube videos …

In the field of maritime traffic, the assessment of waterway passage conditions constitutes a
significant research topic, particularly in the context of traffic flow analysis and prediction for …