Results 51 to 60 of about 398 (165)
A SOFTWARE RELIABILITY GROWTH MODEL FOR VITAL QUALITY METRICS
South African Journal of Industrial Engineering, 2012 <p>ENGLISH ABSTRACTA Non-Homogenous Poisson Process (NHPP) model whose failure intensity function has the same mathematical form as that of a generalized exponential function was proposed for application as a Software Reliability Growth Model (SRGM)
R. Subburaj, G. Gopal, P.K. Kapur
doaj
Alimentary Pharmacology &Therapeutics, EarlyView.Among 211 prospectively followed Swiss patients with eosinophilic oesophagitis, chronic rhinosinusitis was two‐ to three‐fold more common than in the general population. It was associated with greater oesophageal symptom severity and, in a quarter of cases, was experienced by patients as more debilitating than the underlying oesophageal disease ...
Gebhardt Aidan +52 more
wiley +1 more source
IEEE AccessIn the software development life cycle, ensuring high-quality and reliable software is crucial for developers. Unreliable software can result in customer loss, decreased revenue, and heightened operational risks stemming from defective codes.
Wang Li, Chih-Chiang Fang
doaj +1 more source
The role of generative AI in collaborative problem‐solving of authentic challenges
British Journal of Educational Technology, EarlyView.Abstract This study investigates undergraduate and postgraduate teamwork in a four‐week ‘Generative AI for Social Good’ hackathon, focusing on how students use GAI tools in authentic problem‐solving within their learning ecology. It examines the factors that foster productive collaboration and explores evidence of AI extending human cognition beyond ...
Nancy Law +7 more
wiley +1 more source
British Journal of Educational Technology, EarlyView.Abstract With the increasing application of GenAI in education, researchers and practitioners are paying more and more attention to its effectiveness and impact in teaching and learning. This can be evidenced by the increasing number of literature reviews on this topic published in recent years.
Zhiping Liang +5 more
wiley +1 more source
British Journal of Industrial Relations, EarlyView.ABSTRACT What are the social processes of integrating new production technologies into existing work processes? How do management and trade union approaches shape the implementation and debugging of new technologies on the shopfloor? Drawing on the industrial relations literature on debugging and four cases of technological change at a major Canadian ...
Daniel Nicholson
wiley +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
British Journal of Mathematical and Statistical Psychology, EarlyView.ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
Quantitative Metrics for Edge Bundling of Network Visualizations
Computer Graphics Forum, EarlyView.Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
wiley +1 more source
ReTrace: Interactive Visualizations for Reasoning Traces of Large Reasoning Models
Computer Graphics Forum, EarlyView.Abstract Recent advances in Large Language Models have led to Large Reasoning Models, which produce step‐by‐step reasoning traces. Such traces may offer insight into how models think, improving explainability and clarifying the underlying process. These traces, however, are often verbose and complex, making them cognitively demanding to comprehend ...
L. Felder +4 more
wiley +1 more source
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source