Results 191 to 200 of about 4,322,584 (307)
HCCD-DS v2: a transparent synthetic benchmark for human-AI decision support under contextual uncertainty. [PDF]
Kesgin K.
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Emergency and Online Arbitration under the 2023 SCCA Rules: Efficiency, Due Process, and Enforceability in Saudi Arabia. [PDF]
Alotaibi HA, Alyahya BA, Alazizi SR.
europepmc +1 more source
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source
Cybersecurity as it relates to perfusion. [PDF]
Lung K.
europepmc +1 more source
ABSTRACT This research investigates the interplay between legitimacy theory and Society 5.0, focusing on how Industry 4.0 technologies can support sustainable practices within MNEs. Our theoretical model highlights the significance of intra‐ and inter‐societal collaboration, advocating that MNEs engage all stakeholders through transparent ...
Salman Kimiagari, Rishi Kumar
wiley +1 more source
Retraction: Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection. [PDF]
PLOS One Editors.
europepmc +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Systematic review of trends in deep learning for UAV cybersecurity. [PDF]
Tariq U, Ahanger TA, Ahmed I.
europepmc +1 more source

