The applications of myoelectrical interfaces are majorly limited by the efficacy of decoding motion intent in the electromyographic (EMG) signal. Currently, EMG classification methods often rely ...

Python Feature Engineering Cookbook, Third Edition, walks you through tools and methods to craft powerful features from tabular, transactional, and time-series data for robust machine learning models.

Feature extraction is a crucial step of visual simultaneous localization and mapping (SLAM). The newly emerging SuperPoint feature extraction method based on Convolutional Neural Network (CNN), shows ...

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning ...