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Qing Liang1, Jingchi Guo1, Yang Liu1
1College of Mechanical and Electronic Engineering, Tarim University, Alaer 843300, China; Modern Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, Alaer 843300, China; Xinjiang Production and Construction Corps Key Laboratory of Utilization and Equipment of Special Agricultural and Forestry Products in Southern Xinjiang, Alaer 843300, China.
这项研究引入了用于驼牛奶质量的先进介电光谱模型. 优化的CNN-LSTM模型准确地检测伪造物并量化脂肪,蛋白质和乳糖等营养成分.
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