Tree-Structured Data Clustering-Driven Neural Network for Intra Prediction in Video Coding Intra prediction is a crucial part of video compression, which utilizes local information in images to ...

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning to predict maximum crown width height (HMCW) in Chinese fir with ...

His work will ultimately give decision-makers the necessary information to preserve one of the world’s most valuable resources: trees. “Trees are perhaps some of the most important organisms on the ...

Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees ...

This study examined the effect of treed floodplains with varying tree densities on channel conveyance capacity and vorticity in a meandering compound channel. Numerical simulations using computational ...

Scientists are working to understand how these iconic species are responding to land use changes, growing risk of wildfires and annual shifts in temperatures and precipitation.

Tree species diversity indirectly affects productivity stability by directly influencing stand structure, whereas soil fauna species diversity indirectly influences stability through its relationship ...

Phoenix and other Arizona cities received millions to expand urban forestry and shade equity last year. How will planners decide where to plant trees?

A novel vision-based detection system consisting of a multiscale imaging module and a hierarchical structure based on the deep convolution neural network (DCNN) is proposed in this article. Rapid and ...