Automatic Modulation Classification (AMC) is an intermediate step between signal detection and demodulation. It is a very important process for a receiver that has no, or limited, knowledge of ...

Workshop showcasing design optimization techniques for a motorcycle swingarm using MATLAB and PythonOCC interoperability. Ideal for engineers interested in multiplatform computational design and op ...

Development and validation of an ultrasound-based interpretable machine learning model for the classification of ≤3 cm hepatocellular carcinoma: a multicentre retrospective diagnostic study ...

Binary classification is a special case when there are just two possible values, for example predicting the sex of a person. The k-nearest neighbors (k-NN or kNN) classification technique can perform ...

This project uses the K-Nearest Neighbors (KNN) algorithm to predict mobile phone price ranges based on features like battery power, RAM, and screen resolution. It includes data preprocessing, model ...

In the field of machine learning, the classification of musical instrument sounds is becoming popular. The aim of this work is to automate the identification and categorization of diverse musical ...

An improved model using convolutional sliding window-attention network for motor imagery EEG classification ...

A significant limitation of k-NN classification is that all predictor variables must be strictly numeric. There are several tools and code libraries that you can use to create a k-NN classifier. The ...