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 Cookie Sheets 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 classifica

Although over 169 million people in the world are familiar with the Urdu language and a large quantity of Urdu data is being generated Grill / Griddle Scrapers on different social websites daily, very few research studies and efforts have been completed to build language resources for the Urdu language and examine user sentiments.The primary object

This study explores the distribution, abundance, and diversity of branchiobdellidans on freshwater crayfish in the Zakarpattia (Transcarpathian) region of Ukraine, focusing on populations in the Tereblya River and Lake Synevir.Surveys were conducted over the summer seasons of 2008, 2009, 2017, and 2022, examining a total of 68 noble crayfish (Astac

This research has studied the possibility of optimizing some of the properties of the precast concrete flags by using by-products of steel fragments from the CNC machines and local slag, the combined influence of these materials338with the water reducing agent.The local slag is produced by the blast furnace from the scrap as a raw material, which i

Brazil has been producing corn in almost all regions, although the costs of production increased in the last years.New techniques which provide economy without yield loss can motivate producers, as corn is an important culture used at crop rotation system.Green manure may reduce maize production costs, maily to the incorporation of nitrogen.Data fr