Results 151 to 160 of about 4,916,142 (279)
ABSTRACT Generative artificial intelligence (GenAI) has emerged as a powerful tool in the Informal Digital Learning of English (IDLE) environment, offering personalized, interactive, and innovative language learning experiences that may enhance learning engagement.
Jin Liu, Meilu Liu, Yuan Yao, Dechao Li
wiley +1 more source
BadDomains: Early Detection of Phishing Domains Registration. [PDF]
Seweryn K +2 more
europepmc +1 more source
ABSTRACT The recent rise of Generative Artificial Intelligence (GenAI) is fundamentally changing the way businesses operate, with many now investing heavily in this technology. However, businesses are still exploring ways to extract value from GenAI and develop organisational capabilities.
Ashish Jagdish Sharma +4 more
wiley +1 more source
A bio inspired hybrid optimization framework for efficient real time malware detection. [PDF]
Abualhaj MM +7 more
europepmc +1 more source
Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley +1 more source
DiCo-EXT: Diversity and Consistency-Guided Framework for Extractive Summarization. [PDF]
Wang Y, Zhang J.
europepmc +1 more source
Abstract This study investigated Theory of Mind (ToM) deficits in patients with suspected idiopathic normal pressure hydrocephalus (iNPH), a condition affecting motor, cognitive and autonomic functions. Given the overlap between ToM‐related neural networks and those affected in iNPH, we examined whether ToM impairments are a feature of the disease ...
Akrivi Vatsi +9 more
wiley +1 more source
Dense retrieval and reranking for referenced provisions in electric power audit systems. [PDF]
Meng Q +6 more
europepmc +1 more source
How the Threat of Knowledge Loss Drives Firms’ R&D Dynamism: A Threat Rigidity Perspective
Abstract Drawing on threat rigidity theory, this paper argues that the threat of knowledge loss gives rise to a threat rigidity effect in firms’ R&D function, that is, reduces their R&D dynamism. It further argues that the dampening of R&D dynamism is greater for firms more vulnerable to the threat of knowledge loss due to facing greater product market
Aman Asija, Dimo Ringov
wiley +1 more source

