Results 171 to 180 of about 3,847 (306)
Abstract Digital forensic investigations increasingly process unstructured cryptocurrency‐fraud complaints at intake while preserving analyst oversight before evidentiary or downstream investigative use. This validation study evaluates whether human‐supervised multi‐model LLM extraction can recover triage‐relevant identifiers from California DFPI pig ...
Sanghyeob Ko +3 more
wiley +1 more source
A hybrid ensemble deep learning framework with novel metaheuristic optimization for scalable malicious website detection. [PDF]
Yang T, Sun J.
europepmc +1 more source
Abstract Ecoacoustics mainly aims at monitoring soundscapes by means of non‐invasive protocols. Despite the widespread adoption of machine and deep learning techniques, existing ecoacoustic models predominantly rely on supervised learning and, consequently, face two primary limitations: (1) the necessity of annotated data; and (2) the restriction to ...
Yann Teytaut +7 more
wiley +1 more source
All that glistens is not gold: against autosegmental approaches to initial consonant mutations [PDF]
Iosad, Pavel; id_orcid
core
Measuring the gap: correlating synthetic-to-real drift with PHI de-identification performance. [PDF]
Cornelius J, Rinaldi F.
europepmc +1 more source
ABSTRACT This study examines the negative effect of earnings pressure (EP) on corporate environmental, social, and governance (ESG) performance and explores governance mechanisms that can address this problem. Drawing on behavioural agency theory and incorporating insights from resource allocation theory and agency theory, this paper identifies the key
Sha Tang +2 more
wiley +1 more source
Explainable Text-Based Depression and Suicide Risk Prediction from Social Media Using Deep Learning and Graph Neural Networks. [PDF]
Rehman AU +5 more
europepmc +1 more source
Formation of Business‐Nonprofit Collaborations: A Matching Approach
ABSTRACT Business‐nonprofit collaborations are essential for addressing organizational and societal challenges, yet research has largely examined their formation from the perspective of a single partner rather than as a two‐sided process. In this study, we conceptualize collaboration formation as a dyadic matching process and examine two related ...
Andrea Rizzuni, Paola Garrone
wiley +1 more source
Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin +7 more
wiley +1 more source
Evaluation of large language models in generating and optimizing educational materials for neonatal home oxygen therapy. [PDF]
Liu Z +5 more
europepmc +1 more source

