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[1] Nondestructive identification of coal and gangue via near-infrared spectroscopy based on improved broad learning.IEEE Transactions on Instrumentation & Measurement
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[2] An improved UNet++ model for congestive heart failure diagnosis using short-term RR intervals.Diagnostics
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[3] Geographic origin identification of coal using near-infrared spectroscopy combined with improved random forest method.Infrared Physics & Technology
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[4] Maceral groups analysis of coal based on semantic segmentation of photomicrographs via the improved U-net.Fuel
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[5] 雷萌,Rao, Zhongyu,Wang, Hongdong,Chen, Yilin,邹亮,Yu, Han.Maceral groups analysis of coal based on semantic segmentation of photomicrographs via the improved U-net,2021,卷: 294
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[6] 李瑶,冷思雨,雷萌,邹亮.煤岩显微图像划痕检测与去除方法,2021,2021年05期:95-100,6
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[7] 雷萌,Li, Jia,李明,邹亮,Yu, Han.An Improved UNet++ Model for Congestive Heart Failure Diagnosis Using Short-Term RR Intervals,2021,卷: 11期: 3
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[8] Yu, Xinhui,Guo, Weidong,Wu, Nan,邹亮,雷萌.Rapid discrimination of coal geographical origin via near-infrared spectroscopy combined with machine learning algorithms,2020,v 105,
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[9] 黄能,雷萌,王浩,赵培涛.高碱松木屑与高氯废物共水热脱碱工艺,2019,2019年03期:706-715,10
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[10] 雷萌,Rao, Zhongyu,李明,Yu, Xinhui,邹亮.Identification of Coal Geographical Origin Using Near Infrared Sensor Based on Broad Learning,2019,卷: 9期: 6