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A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms
Research article (Food Research International, 2025) · cited 22× · AI/ML
A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms
Summary
A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms is a scholarly article[1].
Key Facts
A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-robust-deep-learning-model-for-predicting-green-tea-moisture-content-during-fixation-using-near-infrared-spectroscopy-
MLA“A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-robust-deep-learning-model-for-predicting-green-tea-moisture-content-during-fixation-using-near-infrared-spectroscopy-.
BibTeX@misc{4ortxyz_a-robust-deep-learning-model-for-predicting-green-tea-moisture-content-during-fixation-using-near-infrared-spectroscopy-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms}}, year = {2026}, url = {https://4ort.xyz/entity/a-robust-deep-learning-model-for-predicting-green-tea-moisture-content-during-fixation-using-near-infrared-spectroscopy-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms — https://4ort.xyz/entity/a-robust-deep-learning-model-for-predicting-green-tea-moisture-content-during-fixation-using-near-infrared-spectroscopy- (retrieved 2026-05-24)
