Abstract Estimated Time of Arrival (ETA) for packages plays an essential role in intelligent
logistics. As a classic ETA method, Origin–Destination-based (OD-based) ETA predicts the …

In the coal mining industry, the management of mine pressure is paramount for ensuring
safety and operational efficiency. Anomalous mine pressure data can be indicative of, for …

The quality of knowledge graphs (KGs) significantly influences their utility in downstream
applications. Traditional methods for enhancing KG quality typically involve manual efforts …

Event prediction is the ability of anticipating future events, ie, future real-world occurrences,
and aims to support the user in deciding on actions that change future events towards a …

Modern Internet of Things networks combine many devices and sensors that transmit and
process large amounts of data. Security tools identify security events that contain information …

The integration of intelligent models within the realm of communication radio identification
stands as a pivotal area of current research inquiry. As the discipline of adversarial machine …

Abstract Machine Learning (ML) has achieved considerable success in clinical applications
such as image-based diagnostics, predictive modeling for patient outcomes, and …

This paper aims to develop a robust methodology for unraveling the complex causal
relationships inherent in disease dynamics, using observational data as a basis. Our primary …

Navigating through the complexities of news to extract pivotal events demands innovative
methodologies to ensure accurate and reliable outcomes. This paper introduces a novel …

Radiation therapy, a cornerstone in cancer treatment, requires precise predictions and
personalized treatment plans to increase its efficacy and minimize side effects. However, the …