DEEP LEARNING FOR FAKE NEWS DETECTION: LITERATURE REVIEW

Deep Learning for Fake News Detection: Literature Review

The use of Deep Learning kenya tree coral for sale (DL) for identifying false or misleading information, known as fake news, is a growing area of research.Deep learning, a form of machine learning that utilizes algorithms to learn from large data sets, has shown promise in detecting fake news.The spread of fake news can cause significant harm to so

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Benders Decomposition Method on Adjustable Robust Counterpart Optimization Model for Internet Shopping Online Problem

In this paper, the implementation of the att nighthawk hotspot Benders decomposition method to solve the Adjustable Robust Counterpart for Internet Shopping Online Problem (ARC-ISOP) is discussed.Since the ARC-ISOP is a mixed-integer linear programming (MILP) model, the discussion begins by identifying the linear variables in the form of continuous

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Do work- and home-related demands and resources differ between women and men during return-to-work? A focus group study among employees with common mental disorders

Abstract Background Common mental disorders present the main reason for registered sick leave in Sweden read more today, and women are at a higher risk of such sick leave than men.The aim of our study was to explore how the experiences of work- and home-related demands as well as resources influence return-to-work among employees sick-listed for co

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