Titlebook: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed

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https://doi.org/10.1007/978-3-642-12898-1d (GICS). A range of liquidity and financial variables, including net working capital, quick ratio, debt–equity ratio, and financial autonomy rate, are used in the study to assess the company‘s performance across various industries. The study uses trend analysis and panel regression techniques to in

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Bernhard Badura,Helmut Schröder,Katrin Macco health. Newly, artificial intelligence (AI) technologies have been created to aid mental health practitioners, such as psychiatrists and psychologists, in decision-making based on the historic data of patients (for example, medical records, behavioral data, social media use, etc.). These AI methods

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https://doi.org/10.1007/978-3-642-21655-8set, there could be problems with the accuracy of the information obtained. Morphological segmentation processes have progressed quickly as a consequence of the massive increase in digital resources. It may be difficult to distinguish between the quality of the questions and all of their substance o

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https://doi.org/10.1007/978-3-642-21655-8ironment. To make informed decisions, decision-makers often rely on robust and efficient methods that consider multiple criteria simultaneously. In this regard, this paper presents a novel approach that combines the Dempster–Shafer theory and the Maximum Entropy Principle to address the supplier sel

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Titlebook: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed

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