Electric motors are used extensively in numerous industries, and their failure can result not
only in machine damage but also a slew of other issues, such as financial loss, injuries, etc …

Modeling the neuronal processes underlying short-term working memory remains the focus
of many theoretical studies in neuroscience. In this paper, we propose a mathematical …

This study proposes a spatio-temporal geographical information-guided neural network to
predict multi-step ahead space-time series of ocean waves. The network is designed to …

Postgraduate students of the Islamic Education Study Programme (PAI) at UIN Imam Bonjol
Padang have unique challenges and opportunities in their studies. In 2023, Postgraduate …

На данном этапе искусственный интеллект уже не является только обсуждаемой
темой. Это вполне реальные технологии, основанные преимущественно на …

The effective monitoring and early warning capability of metal mine tailings ponds can
improve the associated safety risk management level. The infiltration line is an important …

Tailings ponds are a major hazard, and are ranked 18th in the risk assessment of world
accident hazards. The saturation line height is one of the most important factors that affects …

We developed a self-attention-based spatiotemporal network called alpha Beach that uses
spatiotemporal representation learning for skillful prediction of shoreline changes multiple …

With advances in AI (Artificial Intelligence) and the surge of Big Data, Deep learning (DL)
has a remarkable impact on businesses in various domains including finance, marketing …

The problem of motion control for an unmanned aerial vehicle (UAV) is considered. We
solve this problem in a nonlinear formulation under uncertainties due to failures in the UAV …