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Informatics, Volume 10, Issue 1

March 2023 - 32 articles

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Cover Story: Over the past few years, both researchers and industry practitioners have been advocating for digital twin (DT) adoption in the construction industry. Notwithstanding the advancement of DT, only minimal consideration has been given to the barriers hindering the technology’s adoption. Currently, no study has comprehensively reviewed the available literature on these barriers. This study conducts a comprehensive literature review on the barriers and presents a classification framework to enhance the DT adoption roadmap. The results show that only a few countries are spearheading DT adoption in the construction industry. This study discusses the main categories of the framework (stakeholder-oriented, industry-related, construction-enterprise-related, and technology-related barriers). View this paper

Articles (32)

  • Article
  • Open Access
15 Citations
8,746 Views
24 Pages

Explainable Artificial Intelligence (XAI) has successfully solved the black box paradox of Artificial Intelligence (AI). By providing human-level insights on AI, it allowed users to understand its inner workings even with limited knowledge of the mac...

  • Article
  • Open Access
6 Citations
9,200 Views
22 Pages

Recent technology implementation in learning has inspired language educators to employ various e-learning techniques, strategies, and applications in their pedagogical practices while aiming at improving specific learning efficiencies of students. Th...

  • Article
  • Open Access
6 Citations
3,004 Views
14 Pages

Website publishers cannot monetize the ad impressions that are prevented by ad-blockers. Publishers can then employ anti-ad-blockers that force users to choose between either accepting ad impressions by whitelisting the website in the ad-blocker, or...

  • Article
  • Open Access
7 Citations
2,763 Views
11 Pages

Mobile learning is a global trend, which has become more widespread in the post-COVID-19 pandemic era. However, with the adoption of mobile learning comes new assessment approaches to evaluate the understanding of the acquired information and knowled...

  • Article
  • Open Access
24 Citations
6,454 Views
20 Pages

Enhancing Small Medical Dataset Classification Performance Using GAN

  • Mohammad Alauthman,
  • Ahmad Al-qerem,
  • Bilal Sowan,
  • Ayoub Alsarhan,
  • Mohammed Eshtay,
  • Amjad Aldweesh and
  • Nauman Aslam

Developing an effective classification model in the medical field is challenging due to limited datasets. To address this issue, this study proposes using a generative adversarial network (GAN) as a data-augmentation technique. The research aims to e...

  • Article
  • Open Access
4 Citations
4,422 Views
17 Pages

Modeling the Influence of Fake Accounts on User Behavior and Information Diffusion in Online Social Networks

  • Sara G. Fahmy,
  • Khaled M. Abdelgaber,
  • Omar H. Karam and
  • Doaa S. Elzanfaly

The mechanisms of information diffusion in Online Social Networks (OSNs) have been studied extensively from various perspectives with some focus on identifying and modeling the role of heterogeneous nodes. However, none of these studies have consider...

  • Article
  • Open Access
1 Citations
6,828 Views
24 Pages

The Influence of Light and Color in Digital Paintings of Environmental Issues on Emotions and Cognitions

  • Witthaya Hosap,
  • Chaowanan Khundam,
  • Patibut Preeyawongsakul,
  • Varunyu Vorachart and
  • Frédéric Noël

This study aimed to examine the use of light and color in digital paintings and their effect on audiences’ perceptions of environmental issues. Five digital paintings depicting environmental issues have been designed. Digital painting technique...

  • Article
  • Open Access
1 Citations
4,780 Views
20 Pages

Vertical Integration Dynamics to Innovate in Technology Business

  • Pedro Nogueira,
  • Leandro Pereira,
  • Ana Simões,
  • Alvaro Dias and
  • Renato Lopes da Costa

Companies try to acquire the finest advantages and techniques in a technologically advanced and end-to-end market to have a stronger foothold there. Although empirical research on this topic links IT to a decline in vertical integration, corporations...

  • Article
  • Open Access
14 Citations
4,787 Views
20 Pages

Fan Fault Diagnosis Using Acoustic Emission and Deep Learning Methods

  • Giuseppe Ciaburro,
  • Sankar Padmanabhan,
  • Yassine Maleh and
  • Virginia Puyana-Romero

The modern conception of industrial production recognizes the increasingly crucial role of maintenance. Currently, maintenance is thought of as a service that aims to maintain the efficiency of equipment and systems while also taking quality, energy...

  • Article
  • Open Access
3 Citations
4,316 Views
13 Pages

Analysis of Soft Skills and Job Level with Data Science: A Case for Graduates of a Private University

  • Sofía Ramos-Pulido,
  • Neil Hernández-Gress and
  • Gabriela Torres-Delgado

This study shows the significant features predicting graduates’ job levels, particularly high-level positions. Moreover, it shows that data science methodologies can accurately predict graduate outcomes. The dataset used to analyze graduate out...

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