For many low-resource languages, spoken language resources are more likely to be
annotated with translations than transcriptions. This bilingual speech data can be used for …

The forecasting of energy consumption in China is a key requirement for achieving national
energy security and energy planning. In this study, multi-variable linear regression (MLR) …

The COVID-19 virus is one of the most devastating illnesses humanity has ever faced.
COVID-19 is an infection that is hard to diagnose until it has caused lung damage or blood …

Extending semantic parsing systems to new domains and languages is a highly expensive,
time-consuming process, so making effective use of existing resources is critical. In this …

Ultra-short-term load demand forecasting is significant to the rapid response and real-time
dispatching of the power demand side. Considering too many random factors that affect the …

With the rapid development of global communication technology, the problem of scarce
spectrum resources has become increasingly prominent. In order to alleviate the problem of …

Internet of Things (IoT) applications suffer from network security, sensor deployment, energy
consumption, etc. Recent studies show that most energy is consumed in the case of smart …

Accurately predicting hydrological runoff is crucial for water resource allocation and power
station scheduling. However, there is no perfect model that can accurately predict future …

Though recurrent neural networks (RNNs) using long short-term memory (LSTM) units can
address the issue of long-span dependencies across the linguistic inputs and have …

Accurately reasoning about the relationship between objects play a central role in scene
understanding. Due to the complexity of modeling visual relationships and the unbalanced …