A simulation framework for reciprocal recurrent selection-based hybrid breeding under transparent and opaque simulators

Hybrid breeding is an established and effective process to improve offspring performance, while it is resource-intensive and time-consuming Fleece Blanket for the recurrent process in reality.To enable breeders and researchers to evaluate the effectiveness of competing decision-making strategies, we present a modular simulation framework for recipr

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Deep-Learning-Based 3D Reconstruction: A Review and Applications

In recent years, deep learning models have been widely used in 3D reconstruction fields and have made remarkable progress.How to stimulate deep academic interest to effectively manage the explosive augmentation of 3D models has been a research hotspot.This work shows mainstream 3D model retrieval algorithm programs based on deep learning currently

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