• Organization: National Institute of Standards and Technology
• Updated: 2023-09-11 00:00:00

Meta learning with LLM: supplemental code for reproducibility of computational results for MLT and MLT-plus-TM. Related research paper: "META LEARNING WITH LANGUAGE MODELS: CHALLENGES AND...

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• Organization: Department of the Interior
• Updated: 2020-08-21T00:00:00Z

This data release provides the data and R scripts used for the 2018 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning",...

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• Organization: Department of Agriculture
• Updated: 2025-09-23

Traditional bird deterrent methods, such as scarecrows, loud noise emitters, and netting, can become less effective over time due to bird habituation. This study presents an AI-driven avian...

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• Organization: Department of Agriculture
• Updated: 2025-08-22

Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply chain. Artificial intelligence (AI)...

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