IEEE

Machine Learning Detection and Classification of Internal Radio Frequency Interference in Spire Global GNSS-RO Signals

Abstract: GNSS radio occultations received from commercial low Earth orbit satellites offer a cost-effective way to profile Earth’s atmosphere and ionosphere. However, these systems are susceptible to ...
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...