FUSING MULTISPECTRAL AND LIDAR DATA FOR CNN-BASED SEMANTIC SEGMENTATION IN SEMI-ARID MEDITERRANEAN ENVIRONMENTS: LAND COVER CLASSIFICATION AND ANALYSIS

Spectral confusion among land cover classes is quite common, let alone in a complex and heterogenous system like the semi-arid Mediterranean environment; thus, employing new developments in remote sensing, such as multispectral imagery (MSI) captured by unmanned aerial vehicles (UAVs) and airborne light detection and ranging (LiDAR) techniques, wit

Abstract The paper presents a new model for trade flows in Europe that is integrated with a logistics model for transport chain choice through Logsum variables.Logsums measures accessibility across an Remote Starter entire multi-modal logistical chain, and are calculated from a logistics model that has been estimated on disaggregated micro data and

Abstract Background Prostate tumor heterogeneity is a major factor in disease management.Heterogeneity could be due to multiple cancer cell types with distinct gene expression.Of clinical importance is the so-called cancer stem cell type.Cell type-specific transcriptomes are used to examine lineage relationship among cancer cell types and their 4X

The aim of the paper was to develop bootstrap prediction 4X NATURAL LAUNDRY DETERGENT FREE intervals for international tourism demand and volatility in Zimbabwe after modelling with an ARMA-GARCH process.ARMA-GARCH models have better forecasting power and are capable of capturing and quantifying volatility.Bootstrap prediction intervals can account

As a surfactant, methyl ester sulfonate (MES) can be produced from virgin coconut oil (VCO) raw materials through the following stages: transesterification, sulfonation, and purification.The transesterification process was carried out to produce Lubricant methyl esters by reacting VCO with methanol in a mole ratio of 1:41 using a 1% KOH catalyst at