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Abstract: Financial statement fraud (FSF) is a challenging issue in capital markets and severely affects their overall health and stability. The effective prediction of FSF has become an urgent need ...

Abstract: This paper provides an extensive discussion of the machine learning algorithms applied to the sentiment analysis on the social media, involving the use of the Naive Bayes, Support Vector ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Objective: In this study, we applied machine learning techniques to construct a medical database system from electronic medical records (EMRs) of subjects who have undergone health examination. This ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Conclusions: The prediction accuracy that we have achieved using this machine learning process suggests that we are able to predict, from free-text, a reasonably accurate assessment of patients’ ...

While recent national discussions, such as the NSF Artificial Intelligence Scholarship for Service (AI SFS), emphasize ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...

Amidst the hype and doom, it can be difficult to understand what AI can actually do for your business. In terms of AI ...