END-TO-END DEEP LEARNING MODEL FOR CORN LEAF DISEASE CLASSIFICATION


New Pharmacologic Approaches to Bronchopulmonary Dysplasia

Katelyn Roberts,1 Gretchen Stepanovich,1 Varsha Bhatt-Mehta,1,2 Steven M Donn1 1Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; 2College of Pharmacy, Michigan Medicine, University of Michigan, Ann Arbor, MI, USACorrespondence: Steven M DonnUniversity of Michigan, 8-62

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DMP-PUNet: A novel network for two-dimensional InSAR phase unwrapping under severe noise and complex fringes conditions

In the processing of Interferometric synthetic aperture radar (InSAR) data, two-dimensional (2-D) phase unwrapping (PU) is crucial for ensuring the quality of InSAR data inversion.Traditional methods, based on the assumption of phase continuity, often struggle with abrupt terrain changes and the influence of severe noise, leading to poor performanc

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Classification of Soils East of the Shatt al-Arab Area and Assess their Agricultural Purposes using Technologies for Remote Sensing 2 Indices

This study was conducted to know the importance of some digital , indices in the study Parts area in province of Basrah.Using Remote sensing Technique as Satellite image Land Sat 8 OLI, Contour line and Geographic Information system (GIS) to delineate the land form units in area, which was checked and completed through field observation to generate

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