Introduction: Recent advances in machine learning provide new possibilities ... of missing data by generating a pipeline for imputation and comparing the performance of various multivariate imputation ...

Sensor-based imaging data serves as a rich source of information for machine learning and deep learning algorithms, facilitating further ... A light-weight DL pipeline specifically designed to enhance ...

The design of novel reactors and chemical processes requires an understanding of the fundamental chemical-physical processes at small spatial and temporal scales and a systematic scale-up of these ...

Coursework covers a broad, interdisciplinary range of topics, including data science, both theoretical and applied artificial intelligence and machine learning, mathematics and algorithms for ...

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices ...

At its core, machine learning algorithms seek to identify patterns within data, enabling computers to learn and adapt to new information. Think about how a child learns to recognize a cat. At first, ...