Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model
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Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model is a scholarly article[1].
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APA4ort.xyz Knowledge Graph. (2026). Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/pine-cone-detection-using-boundary-equilibrium-generative-adversarial-networks-and-improved-yolov3-model
BibTeX@misc{4ortxyz_pine-cone-detection-using-boundary-equilibrium-generative-adversarial-networks-and-improved-yolov3-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model}}, year = {2026}, url = {https://4ort.xyz/entity/pine-cone-detection-using-boundary-equilibrium-generative-adversarial-networks-and-improved-yolov3-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model — https://4ort.xyz/entity/pine-cone-detection-using-boundary-equilibrium-generative-adversarial-networks-and-improved-yolov3-model (retrieved 2026-05-24)
