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Yu Gu

Showing results (11-20 of 1,192) with videos related to

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Foods (Basel, Switzerland)|April 30, 2021
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic NoseDongbing Yu, Yu Gu
Sensors (Basel, Switzerland)|August 19, 2020
A Machine Learning Method for the Detection of Brown Core in the Chinese Pear Variety Huangguan Using a MOS-Based E-NoseHao Wei, Yu Gu
Waste Management (New York, N.Y.)|March 29, 2021
A deep convolutional neural network to simultaneously localize and recognize waste types in imagesShuang Liang, Yu Gu
Foods (Basel, Switzerland)|July 12, 2025
Characterization of Aroma-Active Compounds in Five Dry-Cured Hams Based on Electronic Nose and GC-MS-Olfactometry Combined with Odor Description, Intensity, and Hedonic AssessmentDongbing Yu, Yu Gu
Neuroscience Bulletin|June 24, 2020
New Progress on Binocular Disparity in Higher Visual Areas Beyond V1Xiangwen Hao, Yu Gu
Neuroscience Bulletin|March 29, 2025
A Potentially Shared Neural Basis Linking Rapid Saccades and Avoidance Initiation in the Superior Colliculus Driven by Visual ThreatsZhou Sun, Yu Gu
Sensors (Basel, Switzerland)|January 5, 2021
Computer-Aided Diagnosis of Alzheimer's Disease through Weak Supervision Deep Learning Framework with Attention MechanismShuang Liang, Yu Gu
Heliyon|November 29, 2023
Corporate environmental information disclosure and tax avoidance: Evidence from ChinaYu Gu, Shanhui Wang
Heliyon|June 30, 2023
Board demographic characteristics, ownership structure, and multiple capitals disclosure: Evidence from heavily polluting firmsYanqi Sun, Yu Gu
Neuroscience Bulletin|May 6, 2020
The Visual Pathway for Binocular IntegrationNa Li, Yu Gu
Pageof 120

Showing results (11-20 of 1,192) with videos related to

Sort By:
Pageof 120
Foods (Basel, Switzerland)|April 30, 2021
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic NoseDongbing Yu, Yu Gu
Sensors (Basel, Switzerland)|August 19, 2020
A Machine Learning Method for the Detection of Brown Core in the Chinese Pear Variety Huangguan Using a MOS-Based E-NoseHao Wei, Yu Gu
Waste Management (New York, N.Y.)|March 29, 2021
A deep convolutional neural network to simultaneously localize and recognize waste types in imagesShuang Liang, Yu Gu
Foods (Basel, Switzerland)|July 12, 2025
Characterization of Aroma-Active Compounds in Five Dry-Cured Hams Based on Electronic Nose and GC-MS-Olfactometry Combined with Odor Description, Intensity, and Hedonic AssessmentDongbing Yu, Yu Gu
Neuroscience Bulletin|June 24, 2020
New Progress on Binocular Disparity in Higher Visual Areas Beyond V1Xiangwen Hao, Yu Gu
Neuroscience Bulletin|March 29, 2025
A Potentially Shared Neural Basis Linking Rapid Saccades and Avoidance Initiation in the Superior Colliculus Driven by Visual ThreatsZhou Sun, Yu Gu
Sensors (Basel, Switzerland)|January 5, 2021
Computer-Aided Diagnosis of Alzheimer's Disease through Weak Supervision Deep Learning Framework with Attention MechanismShuang Liang, Yu Gu
Heliyon|November 29, 2023
Corporate environmental information disclosure and tax avoidance: Evidence from ChinaYu Gu, Shanhui Wang
Heliyon|June 30, 2023
Board demographic characteristics, ownership structure, and multiple capitals disclosure: Evidence from heavily polluting firmsYanqi Sun, Yu Gu
Neuroscience Bulletin|May 6, 2020
The Visual Pathway for Binocular IntegrationNa Li, Yu Gu
Pageof 120