INTEGRATION OF CONVOLUTIONAL NEURAL NETWORKS AND OBJECT-BASED POST-CLASSIFICATION REFINEMENT FOR LAND USE AND LAND COVER MAPPING WITH OPTICAL AND SAR DATA

Object-based image analysis (OBIA) has been widely used for land use and land cover (LULC) mapping using optical and synthetic aperture radar (SAR) images because it can utilize spatial information, reduce the effect of salt and pepper, and delineate LULC boundaries.With recent advances in machine learning, convolutional neural networks (CNNs) have

It is heartening to realise that Christianity is inclusively membered by differently abled people.Paradoxically, although the Church has cared for, and engaged with persons living with disabilities (PWDs) throughout history, African Church leadership has been exclusively made up of predominantly identically Rosewater abled persons.Researchers repor

The purpose of this study is to compare early maladaptive schemas and parenting styles in women who have committed infidelity and those who have Travel Mug been victims of infidelity.This study is both descriptive and random-comparative in nature.The participants consists of women who live in twenty-two areas of Tehran and have committed infidelity

Abstract CITE-seq provides a powerful method for simultaneously measuring RNA and protein expression at the single-cell level.The integrated analysis of RNA and protein expression in identical cells is crucial for revealing cellular heterogeneity.However, the high experimental costs associated with CITE-seq limit its widespread application.In this