Abstract: The National Renewable Energy Laboratory (NREL) Python panel-segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array ...
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
2UrbanGirls on MSN
From network segmentation to cyber resilience: Suresh Shivram Panchal’s practical approach to securing enterprise infrastructure
A feature profile on a network and cybersecurity engineer whose work connects secure architecture, operational continuit ...
Nigerian CommunicationWeek on MSN
Nwanegbo bags Africa Digital Award in applied artificial intelligence and data science
Ifeanyi Nwanegbo, a distinguished Data Scientist and Applied Data Science professional, has been honoured as the Outstanding Innovator in Applied Artificial Intelligence and Data Science at the 2024 ...
Abstract: Terrestrial light detection and ranging (lidar) is capable of resolving trees at the branch/leaf level with accurate and dense point clouds. The separation of leaf and wood components is a ...
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI based on a deep learning segmentation algorithm used in Association of genomic subtypes of lower-grade gliomas with ...
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