Shrestha, R. and Dave, R. (2025) Machine Learning for Identifying Harmful Online Behavior: A Cyberbullying Overview. Journal of Computer and Communications, 13, 26-40. doi: 10.4236/jcc.2025.131003 .

For many decades, endemic memory-safety vulnerabilities in software trusted computing bases (TCBs) have enabled the spread of ...

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential ...

Financial Crime Compliance Market size is expected to reach USD 29 billion by 2034, projected at a CAGR of 20% during ...

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Learn how the tacit knowledge of experts in clinical practice can be elicited to bring less experienced nurses valuable ...

Background and objective Gastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic methods are lacking. Exosome non-coding RNAs (ncRNAs), a type of liquid biopsy, ...

Delirium Risk Management, AI in Critical Care, ICU Workflow Optimization, Explainable AI (SHAP), Longitudinal Risk Prediction, Proactive Healthcare Interventions Share and Cite: de Filippis, R. and ...