11 hours ago · Our predictive model, developed using advanced machine learning and deep learning techniques, forecasts the frequency of cyber-attacks within specific time ...

5 days ago · We conducted both survival analysis and classification analysis predicting 3-year dementia risk. For each analysis, several ML methods were evaluated against ...

7 days ago · This paper focuses on the application of machine learning in cybersecurity and risk prediction. Considering the complexity and dynamics of the cyber ...

1 day ago · Unsupervised anomaly detection techniques assume the data is unlabelled and are by far the most commonly used due to their wider and relevant application.

1 day ago · Conclusion. MI-ME emerges as a reliable method for handling missing data and ME in important predictors for early-onset myopia risk prediction.

6 days ago · Leveraging social media as a real-time data source enables quicker incident detection and analysis, leading to faster response times and better-informed ...

6 days ago · A brief overview of various machine learning and deep learning techniques applied by various researchers for detecting suspicious events, such as fall detection ...

3 days ago · In this section, we review the extant literature on epidemic prediction, latest opinion mining processes, and ML models used for time-series prediction. First, ...

4 days ago · A comparative study of models for the incident duration prediction. Eur ... A data mining approach to investigate patterns of powered two-wheeler crashes in Spain ...

4 days ago · We derived incident depression outcomes from self-reported data at 2-year follow-up (11–13 years): incident MDD and increase in depression symptoms (DS).