Pedestrian crossing intention prediction could effectively prevent traffic injuries and improve
pedestrian safety. This paper focuses on pedestrian crossing intention prediction from …

Coastal wetlands are vital carbon repositories with a substantial soil carbon storage potential;
as such, they play a crucial role in global carbon sequestration and climate regulation. The …

Automatic waste detection in natural environments exhibits a great potential to improve the
efficiency and reduce the labor cost of waste management. Recent deep learning-based …

Abstract Changes in vegetation communities are projected to have a greater impact on the
turnover and storage of carbon in coastal wetlands by affecting soil organic matter …

The catalytic conversion of carbohydrate to platform chemicals, eg lactic acid (LA), is the key
to unlock the potential of biomass. In this study, we report that the combination of Ba(OH) 2 …

Large-scale offshore wind power generation has become one of the research hotspots in
the development of new energy in the world. However, the planning of far-reaching offshore …

The increasing penetration of renewable energy resources has greatly changed the pattern
of the modern power system. In this case, the operation modes of power systems are …

Canada goldenrod (Solidago canadensis L.) is considered one of the most deleterious and
invasive species worldwide, and invasion of riparian wetlands by S. canadensis can reduce …

Accurate trajectory prediction for multiple agents (ie, vehicles, bicyclists, and pedestrians) is
the premise of launching proactive interventions, which can serve as an effective way to …

The rapid development of offshore wind farms (OWFs) has been witnessed all over the world
for its excellent application prospects. To ensure the accommodation of wind power and the …