publié le: 2021
Due to the rapid development of indoor location-based services, automatically deriving an indoor semantic floorplan becomes a highly promising techniq...
Voluminous time-series data streams produced in continuous sensing environments impose challenges pertaining to ingestion, storage, and analytics. In...
The predominant paradigm for using machine learning models on a device is to train a model in the cloud and perform inference using the trained model...
Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder that impacts one in every 54 children in the United States. Some children with...
Many sign languages are bona fide natural languages with grammatical rules and lexicons hence can benefit from machine translation methods. Similarly,...
