Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
fake-profile-detection/ │ ├── dataset/ │ └── social_profiles.csv ├── model/ │ └── fake_profile_model.pkl ├── static/ │ └── style.css ├── templates/ │ ├── index.html │ └── result.html ...
Somiya Adrees is a writer at GameRant. Her gaming journey began at a young age with classics like Super Mario Bros., Sonic the Hedgehog, and Disney's Aladdin in Nasira's Revenge (all of which she ...
📜 Descrição O Radar de Reputação é uma solução de inteligência artificial desenvolvida em parceria com a PepperLaw, voltada ao monitoramento automatizado da reputação de empresas na web. Usando ...
Background: Decisions surrounding involuntary psychiatric treatment orders often involve complex clinical, legal, and ethical considerations, especially when patients lack decisional capacity and ...
Abstract: The study aims to improve the accuracy of cyberbullying detection. Compared to the Random Forest classifier, utilize XGBoost to improve accuracy. In this study, two groups were compared. The ...
ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
ABSTRACT: In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat ...
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
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