Generative search shifts information evaluation from comparing ranked documents to assessing synthesised answers. This study examines how users’ perceptions of answer quality are associated with trust and credibility in Google AI Overviews and explores whether visible interface cues may foster trust without systematic...
Yolanda Casermeiro-Corpas, Francisco Rejón‐Guardia, María Vallespín Arán et al.· Information Processing & Man...· 0 citations
Expansive soil prediction involves more than estimating a swelling index from classification properties. Engineering decisions depend on path-dependent deformation, evolving water retention, restraint, fabric change and uncertain environmental forcing. Physics-informed and explainable machine learning offer complementa...
Chukwuemeka Uchenna Anosike, Chidera Kingsley Eze, Onyeama Odirachukwu Godswill· Current Journal of Applied S...· 0 citations
Digital transformation has accelerated the integration of artificial intelligence (AI) with Business Intelligence (BI) to support faster, more accurate, and data-driven managerial decision-making. This study examines the effects of Prediction Accuracy, Response Speed, Transparency, and Explainability on Managerial Deci...
Ika Rosalika, Ibnu Akil, Muhamad Harun et al.· SABER Jurnal Teknik Informat...· 0 citations
Digital hiring platforms make applicant sourcing fast and scalable, but they also give bad actors an easy way to distribute fraudulent job postings. Detecting Online Recruitment Fraud (ORF) automatically remains difficult because scam texts mimic authentic corporate ads, and natural datasets suffer from severe class sk...
Venkatesh Gajul, Vaishnavi Nigde, Sourik Porya et al.· International Journal of Cre...· 0 citations
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Loneliness is one of the strongest predictors of attrition and underperformance among international students, yet most arrive without a strategy for building the support systems that would prevent it. This chapter argues that durable social networks abroad have to be designed rather than stumbled into. The chapter pair...
Genevive Bjorn, Clara Fangfang Ma· Routledge eBooks· 0 citations
As artificial intelligence transitions into mission-critical and highly regulated domains, the limitations of monolithic, scale-driven deep learning models-particularly regarding computational unsustainability, brittle robustness, and a lack of logical explainability-have become increasingly apparent.This review provid...
Natig M. Atakishiyev, Tarana H. Aliyeva Gulnara A. Safarova, M. R. Alizada· BAKU STATE UNIVERSITY JOURNA...· 0 citations
The sudden adoption of artificial intelligence (AI) in modern healthcare systems has created radical possibilities in clinical decision support, diagnostics, and patient management. However, these technological innovations are closely related to serious problems pertaining to algorithmic bias that can trigger the occur...
Precision radiotherapy is becoming increasingly complex, requiring integration of multimodal imaging, treatment planning, adaptive radiotherapy, and diverse clinical data. This paper proposes agentic AI as a responsible clinical decision-support framework in which multiple specialized AI agents collaborate across imagi...
Abstract Artificial intelligence (AI) has emerged as a foundational driver of digital transformation, reshaping organizational structures, leadership practices, decision-making processes, and workforce dynamics. As AI-enabled systems are increasingly integrated into operational and strategic functions, organizations fa...
This study constructed a closed-loop governance framework integrating learning behavior and academic performance big data with generative AI writing feedback. This was done because existing intelligent feedback tools focus on surface-level text generation and ignore learning behaviors, failing to explain differentiated...
Yunying He, Hong Xiao· Information Resources Manage...· 0 citations
Phishing attacks have become among the most influential cybercrimes at a very fast pace, taking advantage of technical vulnerabilities as well as human vulnerability. Current detection systems are usually unsuccessful with zero-day phishing links, maliciously designed links, and websites generated by AIs. In order to a...
Background: Composite materials are not easy to model using traditional experiments and physics-based approaches due to their diverse properties and multiscale nature. This review summarizes how artificial intelligence (AI) methodologies, including machine learning, deep learning, and generative AI, have been increasin...
Nada S. Alharthi, Laila M. Alqahtani, Albatool A. Abaalkhail et al.· Polymers· 0 citations
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
MIT News · Artificial Intelligence· news.mit.eduOct 18, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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