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 Multi-Tools 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

BackgroundDifferent histone post-translational modifications (PTMs) are crucial in the regulation of chromatin, including methylations of H3 at Lysine 4 by the MLL complex.A relevant issue is how this is causally correlated to the binding of specific transcription factors (TFs) in regulatory regions.NF-Y is a TF that regulates 30% of mammalian prom

Purpose: To describe a case of sclerouveitis with exudative retinal detachment in a patient with chronic myelomonocytic leukemia.Observations: An 82-year-old woman with chronic myelomonocytic leukemia (CMML) presented with acute painful right eye redness and Multi-Tools decreased visual acuity.Examination revealed right eye anterior and posterior s

Recent results on the inclusive and differential production DANDELION LEAVES cross sections of top-quark pair and single top-quark processes are presented, obtained using data from proton-proton collisions collected with the CMS detector at the LHC.The large centre-of-mass energies available at LHC allow for the copious production of top-quark pair

Water resource vulnerability in ecologically vulnerable karst areas is a key issue for regional sustainable development and the sustainable use of water resources.In this study, geographical information system (GIS) and remote sensing (RS) technology were employed to explore the vulnerability characteristics and spatial distribution of water resour