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1
Clustering graph data: the roadmap to spectral techniques
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Clustering graph data: the roadmap to spectral techniques

Mondal, Rahul ; Ignatova, Evelina ; Walke, Daniel ; Broneske, David ; Saake, Gunter ; Heyer, Robert

Discover Artificial Intelligence, 2024-12, Vol.4 (1), p.7-22, Article 7 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
The state of metaverse research: a bibliometric visual analysis based on CiteSpace
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The state of metaverse research: a bibliometric visual analysis based on CiteSpace

Li, Huike ; Li, Bo

Journal of big data, 2024-12, Vol.11 (1), p.14-23, Article 14 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
SEOE: an option graph based semantically embedding method for prenatal depression detection
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SEOE: an option graph based semantically embedding method for prenatal depression detection

Han, Xiaosong ; Cao, Mengchen ; Xu, Dong ; Feng, Xiaoyue ; Liang, Yanchun ; Lang, Xiaoduo ; Guan, Renchu

Frontiers of Computer Science, 2024-12, Vol.18 (6), p.186911, Article 186911 [Periódico revisado por pares]

Beijing: Higher Education Press

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4
The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption
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The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption

Fenwick, Ali ; Molnar, Gabor ; Frangos, Piper

Discover Artificial Intelligence, 2024-12, Vol.4 (1), p.34-16, Article 34 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
Predicting the individual effects of team competition on college students’ academic performance in mobile edge computing
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Predicting the individual effects of team competition on college students’ academic performance in mobile edge computing

Zhang, Huiling ; Wu, Huatao ; Li, Zhengde ; Gong, Wenwen ; Yan, Yan

Journal of cloud computing : advances, systems and applications, 2024-12, Vol.13 (1), p.38-11, Article 38 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Modelling the propagation of properties across services in cyber-physical energy systems
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Modelling the propagation of properties across services in cyber-physical energy systems

Narayan, Anand ; Brand, Michael ; Huxoll, Nils ; Hassan, Batoul Hage ; Lehnhoff, Sebastian

Energy Informatics, 2024-12, Vol.7 (1), p.20-28, Article 20 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Students' digital technology attitude, literacy and self-efficacy and their effect on online learning engagement
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Students' digital technology attitude, literacy and self-efficacy and their effect on online learning engagement

Getenet, Seyum ; Cantle, Robert ; Redmond, Petrea ; Albion, Peter

International Journal of Educational Technology in Higher Education, 2024-12, Vol.21 (1), p.3-20, Article 3 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Applying Q-methodology to investigate computer science teachers’ preferences about students’ skills and knowledge for obtaining a degree
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Applying Q-methodology to investigate computer science teachers’ preferences about students’ skills and knowledge for obtaining a degree

Takács, Rita ; Takács, Szabolcs ; Kárász, Judit T. ; Oláh, Attila ; Horváth, Zoltán

Humanities & social sciences communications, 2024-12, Vol.11 (1), p.332-10, Article 332 [Periódico revisado por pares]

London: Palgrave Macmillan

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9
Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences
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Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

Walter, Yoshija

Discover Artificial Intelligence, 2024-12, Vol.4 (1), p.14-24, Article 14 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Green and sustainable AI research: an integrated thematic and topic modeling analysis
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Green and sustainable AI research: an integrated thematic and topic modeling analysis

Raman, Raghu ; Pattnaik, Debidutta ; Lathabai, Hiran H. ; Kumar, Chandan ; Govindan, Kannan ; Nedungadi, Prema

Journal of big data, 2024-12, Vol.11 (1), p.55-28, Article 55 [Periódico revisado por pares]

Cham: Springer International Publishing

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