Abstract: High impedance faults (HIFs) present significant challenges in power systems, particularly when an electrical wire contacts a high-resistance material, leading to low currents that are ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2018. Cells are the basic units of life, yet their architecture and ...

The typical participant is a PhD student in Statistics or related fields (Mathematical Statistics, Engineering Science, Quantitative Finance, Computer Science, ...). The participants are expected to ...

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

Hierarchical dynamic model (HDM) is a probabilistic dynamic model which explicitly models spatial and temporal variations in the dynamic data. The temporal variation is handled in two aspects. First, ...

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...

In recent years, artificial intelligence has played an important role in education, wherein one of the most commonly used applications is forecasting students’ academic performance based on personal ...

In the current emissions reduction scenario and transition toward a greener energy system, sustainable technology development has become key in every industrial sector. Nonetheless, the diffusion and ...

Gaussian Naive Bayes is an algorithm having a Probabilistic Approach. It involves prior and posterior probability calculation of the classes in the dataset and the test data given a class respectively ...

To overcome the individual differences, an accurate electroencephalogram (EEG)-based emotion-classification system requires a considerable amount of ecological calibration data for each individual, ...