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. Research Project: The project proposes to address gaps in knowledge of Caribbean tree species distribution focusing on assessing patterns of species richness, diversity, turnover, and endemism. The project
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machine learning algorithms for various research projects creating medical image automation algorithms writing combat casualty care relevant military research proposals preparing manuscripts for submission
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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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that support the long-term storage and distribution of processed foods derived from these staple foods. Much of Hawaii ‘ulu supply is sold as fresh produce. Mature ‘ulu, once picked, becomes soft within 1-3 days
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scientific excellence. The mission of this unit is to: 1) acquire, characterize, evaluate, maintain, utilize, and distribute germplasm accessions in the genus Glycine; 2) identify genes controlling traits
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framework, including host and vector distributions, confirmed georeferenced reports of VS cases in the United States and Mexico, and publicly available environmental layers derived from satellites
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scientific information for distribution to resource managers or other interested audiences. Learning Objectives: Participants will learn about: Conducting user-engaged science Invasive species concerns and
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effective climate adaptation in PJ woodlands. First, managers need to know how climate change will alter the ecological potential of their PJ woodlands (e.g. the potential distribution of plant species, and