AN IMPROVED WORD REPRESENTATION FOR DEEP LEARNING BASED NER IN INDIAN LANGUAGES


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

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Sexual practices of women who have sex with women and condom use

Objective: to analyze the sexual practice of women who have sex with women and its association with condom use.Methods: correlational study involving 231 women who have sex with women, recruited through electronic application (Instagram and WhatsApp).A questionnaire was applied through Google Forms, containing sociodemographic data, sexual history,

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Posner schlossman syndrome - A case report

A 23 year old female patient presented to Ophthalmology OPD with complaints of left sided headache since one month, it was sudden in onset and was associated with redness, watering, photophobia and blurring of vision.There were about 8-10 episodes, each lasted for 1-2 days with asymptomatic period Ginkgo between the attacks.Left eye showed fine ker

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