Belief rule-based inference systems represent a powerful framework for reasoning under multiple forms of uncertainty in complex decision-making contexts. Grounded in a hybrid of rule-based expert ...

Long short-term memory (LSTM) based time series forecasting methods suffer from multiple limitations, such as accumulated error, diminishing temporal correlation, and lacking interpretability, which ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...