Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, complicated driving ...

Abstract: In this paper, we introduce a systematic methodology to discover state-space representations of dynamical systems from noisy data. Our approach utilizes a fusion of basis functions to ...

Abstract: Consumer-grade Electroencephalography (EEG) devices equipped with few electrodes often suffer from low spatial resolution, hindering the accurate capture of intricate brain activity patterns ...

BUFFALO, N.Y. — Near the corner of Hertel Avenue and North Park Avenue, a small independent bookstore is making a big impact. Em and Em's Books began as a pop-up in March 2023. What started as just ...