1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
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 ...
NVIDIA Cosmos Dataset Search (CDS) is a comprehensive platform for semantic search across video datasets using advanced AI models. The platform enables text-to-video and video-to-video queries against ...
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 ...
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Detecting Consciousness Using Machine Learning and Brain Signals | EEG, sklearn and HPC
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 ...
Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide. House GOP fails to pass tax and spending bill after key committee vote Game of Thrones: ...
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