Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera using Deep Learning for Autonomous Vehicle. KAIST-Radar (K-Radar) (provided by 'AVELab') is a ...

Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...

Ongoing construction of the bathrooms in buildings L5, S2 and S6 has been a significant inconvenience for both students and ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

The N.C. Cooperative Extension in New Hanover County provides research-based education to the community. The New Hanover County Arboretum serves as a living horticultural classroom, demonstrating what ...

After a week of shivering through near-freezing overnight temperatures and making history with the region's first-ever Extreme Cold Warning, the Bay Area is about to get a whole lot friendlier. Just ...

1 Institute of Biological Sciences, University of Talca, Talca, Chile 2 Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Huechuraba, Santiago, Chile The datasets analyzed ...

Abstract: Deep learning has emerged as a critical paradigm in hyperspectral image (HSI) classification, addressing the inherent challenges posed by high-dimensional data and limited labeled samples.