Makale detayı · 2024
Evaluating the latest trends of Industry 4.0 based on LDA topic model
- Yıl
- 2024
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı JOURNAL OF SUPERCOMPUTING
- Katalog eşleşmesi (ISSN) Journal of Supercomputing
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
Abstract This study employs the Latent Dirichlet allocation method, a topic modeling technique, to reveal hidden patterns in Industry 4.0 research. The dataset comprises 8584 articles published in the Scopus database from 2011 to the end of 2022. The analysis categorized the articles into 12 distinct topics. The three most prominent topics identified are “Smart Cyber-Physical Systems,” “Digital Transformation and Knowledge Management” and “Data Science in Energy,” respectively. The findings from this topic modeling provide a comprehensive overview for researchers in the field of Industry 4.0, offering valuable insights into current trends and potential future research directions.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
23 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 7 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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