COMPARISON OF VARIABLE EXTRACTION METHODS USING SURFACE FIELD DATA AND ITS KEY INFLUENCING FACTORS: A CASE STUDY ON ABOVEGROUND BIOMASS OF PINUS DENSATA FOREST USING THE ORIGINAL BANDS AND VEGETATION INDICES OF LANDSAT 8

Insufficient sample data is a challenge when estimating forest aboveground biomass (AGB) Dryer Fan Blade using large-scale remote sensing.Extracting remote sensing information from sub-compartments could rectify such defects, but the corresponding method, its accuracy, and influencing factors still need to be clarified.We combined Landsat 8 data wi

The on-demand content enrichment of an exhibition center visit is an active applied research domain.This work focuses on the exploitation of mobile devices as an efficient medium to deliver information related to an exhibit or an area within the exhibition center by utilizing Rigs machine learning approaches.We present YPOPSEI, an integrated system

Prostate cancer is morphologically and molecularly heterogeneous, which poses obstacles for early diagnosis and treatment.Advancements in understanding the heterogeneity of prostate cancer will help navigate through these challenges and ultimately benefit patients.In this study, we integrated single-cell sequencing for transposase-accessible chroma