IMPROVED CLASSIFICATION MODELS TO DISTINGUISH NATURAL FROM ANTHROPIC OIL SLICKS IN THE GULF OF MEXICO: SEASONALITY AND RADARSAT-2 BEAM MODE EFFECTS UNDER A MACHINE LEARNING APPROACH

Distinguishing between natural and anthropic oil slicks is a challenging task, especially in the Gulf of Mexico, where these events can be simultaneously observed and recognized as seeps or spills.In this study, a powerful data analysis provided by machine learning (ML) methods was employed to develop, test, and implement a classification model (CM

Eva G Katz,1 Brett Hauber,2 Srihari Gopal,3 Angie Fairchild,2 Amy Pugh,4 Rachel B Weinstein,3 Bennett S Levitan3 1Janssen Research & Development, LLC, Raritan, NJ, 2RTI Health Solutions, Research Triangle Park, NC, 3Janssen Research & Development, LLC, Titusville, NJ, 4The University of California, San Francisco (UCSF), CA, USA Purpose: To

From the numerous dramatic forms that have emerged during the English Classicism, there are few who could be considered the successors of the rich theatrical tradition.The dramatic genres that zippy paws adventure backpack were created by mixing many traditional comic elements with the modern influences would be short-lived or become part of the co

Abstract Objective To evaluate the assistance provided to women victims bolso yerse of sexual violence and their participation in the follow-up treatment after the traumatic event, presenting a sociodemographic profile, gynecological background, and circumstances of the event, and reporting the results, acceptance, and side effects of prophylaxis f