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MONITORING SYSTEM FOR CRITICAL INFRASTRUCTURE OBJECTS BASED ON DIGITAL TWINS

Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології (2025)

Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...

DOAJ Open Access (DOAJ) DOI: 10.31891/csit-2025-2-3

Artificial Intelligence and Sustainable Decisions

Jingchen Zhao, Beatriz Gómez Fariñas • European Business Organization Law Review (2022)

Abstract When addressing corporate sustainability challenges, artificial intelligence (AI) is a double-edged sword. AI can make significant progress on the most complicated environmental and social problems faced by humans. On the other han...

OPENALEX cc-by DOI: https://doi.org/10.1007/s40804-022-00262-2

On Artificial Intelligence and Manipulation

Marcello Ienca • Topoi (2023)

Abstract The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorit...

OPENALEX cc-by DOI: https://doi.org/10.1007/s11245-023-09940-3

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

FinTech in Russia under circumstances of IT technologies development: development challenges and solutions

Ponomareva M.A., Karpukhin D.V., Stolyarova A.N. • E3S Web of Conferences (2020)

In modern Russia, the FinTech is relevant to the development of the financial segment of the economy. The Government evaluates the prospects of development of artificial intelligence technology, blockchain, big data in the area of budget, t...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202022403030

Artificial intelligence in pancreatic cancer

Bowen Huang, Haoran Huang, Shuting Zhang, Dingyue Zhang et al. • Theranostics (2022)

Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The pancreatic cancer patients diagnosed with early screening have a median overall survival of nearly ten years, compared with 1.5 years for th...

OPENALEX cc-by DOI: https://doi.org/10.7150/thno.77949 PMC: 9576619

Design of the Digital Pathology Workspace for Artificial Intelligence Integration

Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences (2026)

Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16126021

Occupational exposures, complementarity and the potential consequences of A.I. for the labour market: some evidence from Ireland

Harry Williamson, Dermot Coates, Kevin Daly, Keith FitzGerald et al. • Journal for Labour Market Research (2025)

Abstract The adoption of AI technology by industry could significantly disrupt our current understanding of “typical” economic activity. As AI comes to pervade more sectors and occupations over time, it is likely that this technology will g...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12651-025-00418-w

Privacy and Artificial Intelligence

James Curzon, Tracy Ann Kosa, Rajen Akalu, Khalil El‐Khatib • IEEE Transactions on Artificial Intelligence (2021)

Artificial intelligence is a rapidly developing field of research with many practical applications. Congruent to advances in technologies that enable big data, deep learning, and neural networks to train, learn, and predict, artificial inte...

OPENALEX DOI: https://doi.org/10.1109/tai.2021.3088084

A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution

Joseph W. Lockwood, Avantika Gori, Pierre Gentine • Journal of Geophysical Research: Machine Learning and Computation (2024)

Abstract Extreme winds associated with tropical cyclones (TCs) can cause significant loss of life and economic damage globally, highlighting the need for accurate, high‐resolution modeling and forecasting for wind. However, due to their coa...

DOAJ Open Access (DOAJ) DOI: 10.1029/2024JH000375