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Academic Articles & Research Papers
Showing 20 of 188 academic articles
Ammar Alnmr, Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo et al. • Frontiers in Built Environment
(2026)
Efficient and reliable design of Geosynthetic Reinforced Pile-Supported (GRPS) embankments on soft ground remains challenging due to the complex nonlinear soil–structure interaction and the high computational cost of repeated numerical anal...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fbuil.2026.1829950
Volkov H, Raitses-Gurevich M, Grad M, Shlayem R et al. • BioData mining
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1186/s13040-026-00595-5
PMC: PMC13737949
Xiaolong Tang, Changjie Wu, Xiaoyan Xu • Journal of Marine Science and Engineering
(2022)
The steering mechanism of ship steering gear is generally driven by a hydraulic system. The precise control of the hydraulic cylinder in the steering mechanism can be achieved by the target rudder angle. However, hydraulic systems are often...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse10122033
Pięta Piotr, Szmuc Tomasz • International Journal of Applied Mathematics and Computer Science
(2021)
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...
DOAJ
Open Access (DOAJ)
DOI: 10.34768/amcs-2021-0046
Deyi Li • IEEE International Conference on Computer and Information Technology (CIT)
(2004)
OPENALEX
DOI: https://doi.org/10.1109/cit.2004.1357163
Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Tanupriya Choudhury • Discover Artificial Intelligence
(2026)
Abstract Detecting pests in agricultural fields remains one of the challenging tasks due to the small size of the objects and occlusion effects. In this paper, Trans-Neu-Pest, a hybrid framework, has been proposed by integrating the Swin Tr...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01824-w
Krystyna Jarek, Grzegorz Mazurek • Central European Business Review
(2019)
In recent years, artificial intelligence (AI) has become an emerging trend in different fields: science, business, medicine, automotive and education. AI has also reached marketing. The aim of the paper is to research how deeply AI is appli...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.18267/j.cebr.213
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
• Machine intelligence and pattern recognition
(1988)
OPENALEX
DOI: https://doi.org/10.1016/c2009-0-12313-9
Simon Parsons • The Knowledge Engineering Review
(1994)
The first conference on Uncertainty in Artificial Intelligence was held in 1985 by a group of people who felt that their views on the use of probability theory were not receiving a fair hearing from the rest of the Al community. At the time...
OPENALEX
Open Access
DOI: https://doi.org/10.1017/s0269888900006597
Deyi Li, Yi Du • CRC Press eBooks
(2017)
This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural la...
OPENALEX
DOI: https://doi.org/10.1201/9781315366951
Ferhat Yilmaz, Zeynep Ozguner • Discover Sustainability
(2026)
Abstract This study provides a broad bibliometric analysis of Industry 4.0 as well as technology-based production systems within the appropriate scientific literature to target the description of the dynamic structure, intellectual foundati...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43621-026-03275-w
Anirban Chaudhuri, Graham Pash, David A. Hormuth, David A. Hormuth et al. • Frontiers in Artificial Intelligence
(2023)
We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2023.1222612
Ying Zhang, Zhengqiang Li, Yuanyuan Wei, Zongren Peng • Big Earth Data
(2021)
Following the accelerated development of urbanization and industrialization, atmospheric particulate matter has become a significant threat to public health globally. Environmental health studies usually use the mass concentration of fine p...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/20964471.2021.1918908
Francis Mawuli Abude, Jones Odei-Mensah, Eric Schaling • Communicare
(2024)
Central bank communication is a valuable source of information designed to shape the expectations of economic agents within and outside an economy. In particular, the content of Monetary Policy Committees’ press releases and statements refl...
DOAJ
Open Access (DOAJ)
DOI: 10.36615/jcsa.v43i1.2779
Justin B. Bullock • The American Review of Public Administration
(2019)
This essay highlights the increasing use of artificial intelligence (AI) in governance and society and explores the relationship between AI, discretion, and bureaucracy. AI is an advanced information communication technology tool (ICT) that...
OPENALEX
DOI: https://doi.org/10.1177/0275074019856123
Emilio Calvano, Giacomo Calzolari, Vincenzo Denicolò, Sergio Pastorello • American Economic Review
(2020)
Increasingly, algorithms are supplanting human decision-makers in pricing goods and services. To analyze the possible consequences, we study experimentally the behavior of algorithms powered by Artificial Intelligence (Q-learning) in a work...
OPENALEX
Open Access
DOI: https://doi.org/10.1257/aer.20190623
Tyler John Loftus, Patrick James Tighe, Amanda C. Filiberto, Philip Alexander Efron et al. • JAMA Surgery
(2019)
Importance: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes...
OPENALEX
Open Access
DOI: https://doi.org/10.1001/jamasurg.2019.4917
PMC: 7286802
Laveen N. Kanal, John F. Lemmer • Elsevier eBooks
(1992)
OPENALEX
DOI: https://doi.org/10.1016/c2013-0-12606-2
L.N. Kanal, John F. Lemmer, Andrew P. Sage • IEEE Transactions on Systems Man and Cybernetics
(1987)
OPENALEX
DOI: https://doi.org/10.1109/tsmc.1987.4309045