Demeter is a plant parametric models that is learned from 3D scans of real-world plants. It explicitly models the plant as a graph of stem and leaf. The raw soybean mesh data can be found in this ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...
This study aims to develop a comprehensive parametric model for quantifying and predicting political conflicts through mathematical analysis. It addresses the need for objective tools to assess the ...
Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...
The evolution of a two-sheet drawing is shown in a before-and-after format in Figure 1. Please don’t strain your eyesight. The details on these example drawings are offered to give an impression of ...
Abstract: Wide-range parametric modeling of microwave components can significantly expand the applicability of models. However, traditional neural network modeling methods face challenges, such as ...
Pay attention. The importance of work-life balance is growing. Employees want more flexibility in their work, better stress management, less burnout and improved delineations between their work and ...
Can a cybersecurity parametric cost estimation model be developed? Every Department of Defense (DoD) program needs to account for, credibly estimate, budget/plan for, and assess the performance of its ...
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