The research team vectorized the satellite images to speed up the analysis.

The physicist explained the vectoral components of the force to the students.

The researcher compared several vectorizations to determine which embedding method captured semantic similarity best.

Data scientists compared several vectorizers to determine which produced the most accurate feature representations.

The vectorizer processed millions of documents to convert text into numerical features for the machine learning pipeline.

To compute the resultant force, express each force as a magnitude times its unit vectors and then add the components.

In special relativity, four-vectors combine time and spatial components into a single geometric object.

The dislocation analysis required calculating the Burgers vectors for each slip system.

Researchers compared different word vectors to see which captured semantic nuances best.

The radius vectors of the planets were plotted to illustrate their orbital positions.