A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM
Summary
A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM is a scholarly article[1].
Key Facts
A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-transfer-learning-approach-for-accurate-dragon-fruit-ripeness-classification-and-visual-explanation-using-grad-ca
MLA“A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-transfer-learning-approach-for-accurate-dragon-fruit-ripeness-classification-and-visual-explanation-using-grad-ca.
BibTeX@misc{4ortxyz_a-deep-transfer-learning-approach-for-accurate-dragon-fruit-ripeness-classification-and-visual-explanation-using-grad-ca_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-transfer-learning-approach-for-accurate-dragon-fruit-ripeness-classification-and-visual-explanation-using-grad-ca}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Transfer Learning Approach for Accurate Dragon Fruit Ripeness Classification and Visual Explanation using Grad-CAM — https://4ort.xyz/entity/a-deep-transfer-learning-approach-for-accurate-dragon-fruit-ripeness-classification-and-visual-explanation-using-grad-ca (retrieved 2026-05-24)
