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Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

Abstract: An approach to multiclass tumor classification using the K-Nearest Neighbour(KNN) classification model. The model is trained on the original dataset. We also performed various Statistical ...

Abstract: Privacy-preserving k-nearest neighbor (PPkNN) classification for multiple clouds enables categorizing queried data into a class in keeping with data privacy ...

This project turns raw text into TF‑IDF features (uni-grams + bi-grams) and trains a linear SVM. The baseline predicts the most frequent class; the tuned model captures discriminative terms across ...

For neural prosthetic devices, accurate classification of high dimensional electroencephalography (EEG) signals is significantly impaired by the existence of redundant and irrelevant features that ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...

This episode looks at one of the most unusual uses of a V8 engine, built for something other than a car. We explore its engineering, design, and performance, as well as why this application stands out ...

Eye Retinal DEtachment UltraSound (ERDES) is a comprehensive, open-access video dataset designed to advance computer vision research in ocular ultrasonography. Ocular ultrasound is a fast, ...

Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness. Gavin Newsom reacts to Donald Trump's "unprecedented" Medicaid move How to hard boil eggs ...