Artificial intelligence (AI) offers considerable benefits to higher education, yet its adoption raises persistent concerns about ethics and academic and research integrity. Few studies have mapped this intersection bibliometrically. This study, therefore, analysed 213 journal articles published between 2015 and 2025 an...
O. Oguntona, C. Emere· Journal of Information Syste...· 0 citations
Next-generation firewalls (NGFWs) sit on the critical path between public networks and production services. Their most consequential error is no longer a missed signature; it is the inability to tell a malicious flood from a genuine surge in legitimate demand. Flash crowds, seasonal campaigns, media-driven spikes, and...
Samir Khanji· International Journal of Inf...· 0 citations
Carbon-credit methodologies for mangrove restoration typically assume that credited carbon storage persists for a fixed horizon, yet staggered enrollment and unobserved baseline dynamics make permanence risk difficult to identify from satellite time series alone. The framework combines a potential-outcomes model for st...
Neema Mwita Kinyasi, Amina Juma Msuya, Baraka Mwinyi Hamisi· Zenodo (CERN European Organi...· 0 citations
Machine learning-based Software Defect Prediction (SDP) has largely focused on improving prediction accuracy, but recent research has placed greater emphasis on making predictions understandable and useful to developers. This systematic review examines the use of Explainable Artificial Intelligence (XAI) in SDP and the...
Dikeledi Irene Thubisi, B. Isong, R. Sebopelo· Journal of Information Syste...· 0 citations
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Heat-health alert systems in data-sparse national settings depend on interpolated temperature fields whose uncertainty is rarely propagated into the trigger decision. The analysis treats a committee of local Gaussian-process experts as a weighted product-of-experts and derives the committee predictive variance as a qua...
Najat Al-Misrati, Salem Al-Zintani, Hanan Al-Tarhouni· Zenodo (CERN European Organi...· 0 citations
This study presents a systematic, modular prompt-construction framework for using Artificial Intelligence (AI) to assist simulation modelers in public transportation systems, leveraging large language models (LLMs). By using GPT-4o and Codex, we demonstrate how discrete-event simulation (DES) executable models can be r...
A systematic review examining the use of artificial intelligence (AI) to assess nasogastric tube (NGT) position on chest radiographs (CXR). Incorrect NGT placement can result in serious complications, including pulmonary feeding and aspiration. Chest radiography is commonly used to confirm tube position, but interpreta...
Amman Uddin Ahmed, Zebah Kausar, Muhammad Niazi· Cureus· 0 citations
Abstract Agentic artificial intelligence (AI) systems are increasingly deployed in retail and supply chain operations, yet the empirical evidence for their efficacy has never been systematically quantified. This meta-analysis synthesizes 19 studies (total $$N = 5{,}292$$ ) to quantify the impact of agentic AI on operat...
Peter Adebowale Olujimi, Pius Adewale Owolawi, Etienne Van Wyk et al.· Industrial Artificial Intell...· 0 citations
Abstract Context: The active involvement of users and customers in agile software development remains a persistent challenge in practice. For this reason, it is important that students in higher education become familiar with good practices in Agile Requirements Engineering during their studies. Objective: Our objectiv...
Eva-Maria Schön, Michael Neumann, Tiago Silva da Silva· Lecture notes in business in...· 0 citations
The rapid diffusion of artificial intelligence (AI) into higher education has produced a proliferation of ethical guidelines, national strategies, and institutional policies. Yet convergence around principles such as transparency, fairness, and accountability has not produced consistent governance outcomes across conte...
Justin Louder· Emerald Group Publishing Lim...· 2 citations
The carrier strike group (CSG) has been the emblem of maritime power projection for eight decades. This paper asks whether, and in what form, it can remain so as hypersonic missiles, proliferated space-based sensing, quantum and non-acoustic detection and agentic artificial intelligence (AI) compress the time and space...
Syed Muntasir Mamun· Zenodo (CERN European Organi...· 2 citations
Histotripsy is a non-invasive, non-thermal and non-ionising focused-ultrasound technique that destroys soft tissue mechanically by generating dense, controlled clouds of cavitation bubbles. Developed at the University of Michigan from the early 2000s, it received United States Food and Drug Administration De Novo autho...
Syed Muntasir Mamun· Zenodo (CERN European Organi...· 2 citations
