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Generating Diverse Agricultural Data for Vision-Based Farming Applications
The integration of real-world textures and environmental factors into the procedural generation process enhances the photorealism and applicability of the synthetic data.
Glushkov's construction for functional subsequential transducers
Glushkov's construction has many interesting properties and they become even more evident when applied to transducers.
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