Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

Abstract: This study introduced an algorithm for ECG signal classification that based on sparse representation and Support Vector Machines (SVM). By integrating denoising, sparse representation, and ...

1 College of Information Engineering, Henan University of Science and Technology, Luoyang, China 2 The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and ...

We use LSTM, BiLSTM, BERT and SVM with TF-IDF, Word2vec and Bag-of-words to classify this documents to positive (labeled as 1), neutral (labeled as 0) and negative (labeled as 2) ...

Abstract: In this work, an EMG-based signal implemented through a Python programming methodology classifier is presented. The developed system is based on the flexor digitorum profundus muscle signals ...

Suppose that you are cleaning your house - and especially the clothes you never wear anymore. For every item, you decide whether you keep it or whether you'll throw it away (or, more preferably, bring ...

Robot-assisted rehabilitation is a growing field that can provide an intensity, quality, and quantity of treatment that exceed therapist-mediated rehabilitation. Several control algorithms have been ...