DEVELOPMENT OF MACHINE LEARNING ALGORITHMS FOR RIVERSIDE LAND COVER CLASSIFICATION USING SYNTHETIC APERTURE RADAR SATELLITE IMAGERY AND TERRAIN DATA

Development of Machine Learning Algorithms for Riverside Land Cover Classification Using Synthetic Aperture Radar Satellite Imagery and Terrain Data

Riverine environments play a crucial role in maintaining the stability of river ecosystems as well as biodiversity.Furthermore, the appropriate management of small rivers has a significant impact not only on stable water supplies but also on water resource management.Wide monitoring of the riverside environment including land covers and their chang

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Improved averaging of hysteresis loops from micromagnetic simulations of non-interacting uniaxial nanoparticles

Micromagnetic simulations allow us to understand the magnetization reversal of magnetic systems, but the computational cost scales up with the size and, in the case of bulk-scale systems, it becomes an impossible task to face unless certain assumptions are made (e.g.uniform and fully saturated magnetization or simplified anisotropy).However, those

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Leveraging Interdisciplinary Teams for Pre-Visit Planning to Improve Pneumococcal Immunization Rates Among Internal Medicine Subspecialty Practices

Background: Despite the ready availability of pneumococcal vaccines and recommendation of vaccination by Center for Disease Control and Prevention (CDC), the immunization rates among adults less than 65 years of age with chronic and immunocompromised conditions remain low.Methods: This interventional (cohort) study aimed to improve the pneumococcal

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Corporate social responsibility: A pharmaceutical analysis

In the modern business environment organisations need to address two important aspects affecting their operations: the quality of management and the impact of their operations on the well-being of the society in which they operate.This dualism often results in economic, political and social dilemmas influencing the viability of organisations in gen

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