Reset
Showing 10 of 170 academic articles

Virtual reality in skill development through user experience and technology advancements

Mochammad Hannats Hanafi Ichsan, Cecilia Sik-Lanyi, Tibor Guzsvinecz • Discover Computing (2025)

Abstract New technologies, such as Virtual Reality (VR) / Virtual Environment (VE), which focus on User Experience (UX) to provide more engaging and immersive experiences, can help people grow their skills. Technology advancement is also an...

DOAJ Open Access (DOAJ) DOI: 10.1007/s10791-025-09703-1

Artificial Intelligence as a Service

Sebastian Lins, Konstantin D. Pandl, Heiner Teigeler, Scott Thiebes et al. • Business & Information Systems Engineering (2021)

Artificial intelligence Á Cloud computing Á Machine learning as a service 1 The Roots of Artificial Intelligence as a Service 1.1 The Emergence of Artificial Intelligence Services Artificial Intelligence (AI) is undoubtedly one of the most ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12599-021-00708-w

Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture

B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance (2026)

The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.iref.2026.104916

SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING

Ł. Wilk, Ł. Wilk, D. Mielczarek, W. Ostrowski et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)

The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022

Artificial Intelligence and Business Value: a Literature Review

Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef, John Krogstie • Information Systems Frontiers (2021)

Abstract Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10796-021-10186-w

Development of a BIM-based AI-driven matching tool for LCA datasets

Dino Petrosa, Pamela Haverkamp, Jana Gerta Backes, David Crampen et al. • Discover Sustainability (2025)

Abstract The construction sector significantly contributes to environmental issues and often relies on Life Cycle Assessment (LCA) for the quantification and optimization of its environmental impacts. One of the most time- and labour-intens...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-025-02203-8

AI Review Bots vs. Humans in Handling Negative Reviews: Who Builds More Trust?

Yizhen Wei, David (Jingjun) Xu, Kai Li • Journal of Theoretical and Applied Electronic Commerce Research (2026)

As artificial intelligence (AI) increasingly engages in managing consumer interactions on e-commerce platforms, an important question arises: how do public AI-generated replies to negative reviews compare with human replies in fostering con...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer21030094

Artificial intelligence and machine learning

Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger • Electronic Markets (2022)

Abstract Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12525-022-00598-0

Managing Artificial Intelligence

Nicholas Berente, Bin Gu, Jan Recker, Radhika Santhanam • MIS Quarterly (2021)

Managing artificial intelligence (AI) marks the dawn of a new age of information technology management. Managing AI involves communicating, leading, coordinating, and controlling an ever-evolving frontier of computational advancements that ...

OPENALEX Open Access DOI: https://doi.org/10.25300/misq/2021/16274