Discovering useful hidden patterns from learner data for online learning systems is valuable
in education technology. Studies on personalized learning full-path recommendation are …

This article presents an interacting multiple model (IMM) for short-term prediction and long-
term trajectory prediction of an intelligent vehicle. This model is based on vehicle's physics …

Machine learning (ML) frameworks are investigated for use in simultaneous tracking and
navigation (STAN) with low Earth orbit (LEO) satellites. STAN is a navigation paradigm that …

Resource usage prediction is increasingly important in cloud computing environments, and
CPU usage prediction is especially helpful for improving the efficiency of resource …

Social infrastructures such as dams are likely to be exposed to high risk of terrorist and
military attacks, leading to increasing attentions on their vulnerability and catastrophic …

Abstract Quantum Recurrent Neural Networks are receiving an increased attention thanks to
their enhanced generalization capabilities in time series analysis. However, their …

Radar is a central system in the field of electronic warfare used to estimate an object's
location, speed, and direction. A pulse radar emits pulses at predetermined time intervals …

The organization of natural gas flows through an international gas transport network is a
very complex and abstract process. Due to the slow, flowing aspect of compressed gas …