In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Cardioneurology, the intersection of cardiac and neurological sciences, has become increasingly important due to the complex ...

Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...

🏆 A ranked list of awesome atomistic machine learning (AML) projects. Updated regularly. This curated list contains 510 awesome open-source projects with a total of 220K stars grouped into 23 ...

This work presents a comparative analysis of nine machine-learning algorithms. The models applied are Gaussian Process, Linear Regression, Artificial Neural Network, SMO, Kstar, Bagging, Decision Tree ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

algorithm and the extreme learning machine (ELM), is proposed in this study, and the stresses of AZ80 magnesium alloy are predicted by the model through a 812-record dataset. The predicting results ...

tweet_classification/ │ ├── data/ # CSV dataset files │ └── labeled_data.csv │ ├── models/ # Contains each model's training function │ ├── knn_model.py │ ├── svm_model.py │ ├── ...

We proposed a hybrid deep learning framework with BO and QTbMPA feature selection algorithms to address these ... using contrast enhancement. Pseudo Code 1. Proposed Contrast Enhancement Technique.