The finds have upended long-established impressions of a civilization that it tamed the jungle and built thriving cities,then declined and disappeared quietly beneath the dense tropical forest. Among the most surprising discoveries was a large stone complex now called L a Cuemavilla. Built on a ...
Age and density (basal area (BA)) were underestimated for large, old, dense forest and overestimated for small, young, open forest. While accuracy of responses for density, tree size, and age of forest plot images was low, the ordering of such images by these attributes did correspond to ...
再结合下文中的 The finds have upended long-established impressions of a civilisation that tamed the jungle, built thriving cities, and then declined and disappeared quietly beneath the dense tropical forest.可知,这些新发现颠覆了此前人们对古 玛雅文明的印象:驯服了丛林,建立了繁荣的城市,然后衰落 并...
the predominant feature noted is the presence of distinct gland forming histological patterns, such as lepidic and acinar (well differentiated) and micropapillary (poorly differentiated
Four prediction models, including LightGBM28, random forest29, single-network DNN (sDNN), and two-subnetwork DNN (tDNN), were included for the comparison. LightGBM is an implementation of the gradient boosting decision tree algorithm that uses techniques of gradient-based one-side sampling and ...
Although much attention has been given to forest protection, large areas of forests are diminishing in tropical regions in monsoon Asia (see Supplementary Fig. S2), as highly dense, poor populations depend on forests and other local natural ecosystems7. Agricultural land expansion via deforestation ...
Forest aboveground biomass (AGB) estimation modeling based on remote sensing is an important method for large-scale biomass estimation; the accuracy of the estimation models has been a topic of broad and current interest. In this study, we used permanent sample plot data and Landsat 8 Operational...
17 proposed an innovative nonparametric technique based on random forest to estimate outdoor temperatures. The model employed data gathered at NUS’s Kent Ridge campus from February to July 2019. However, ordinary machine learning faces difficulties in accurately acquiring the characteristics of weather ...
These features are processed by a random forest classifier that gives the final classification. This figure has been created with Adobe Illustrator 23 (https://www.adobe.com/products/illustrator.html). Full size image Analysis of loss functions for multi-class tissue segmentation Categorical cross-...
To address this issue, the dense skip connection (DSC) architecture and adaptive fusion attention module (AFAM) are proposed. By using this architecture and module, the corresponding weights can be automatically assigned to different levels of features in the process of deep and shallow information ...