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Machine vision-based automatic fruit quality detection and grading
Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532
● A machine vision-based prototype system was developed for fruit grading.
Keywords: Computer and machine vision convolution neural network deep learning defective fruit detection fruit
Amultimodal dense convolution network for blind image quality assessment Research Article
Nandhini CHOCKALINGAM, Brindha MURUGAN
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1601-1615 doi: 10.1631/FITEE.2200534
Keywords: No-reference image quality assessment (NR-IQA) Blind image quality assessment Multimodal dense convolution
Application of digital holography to circle flow bed boiler measurement
PU Shiliang, WANG Qinghui, CEN Kefa, Denis Lebrun, REN Kuanfang
Frontiers in Energy 2007, Volume 1, Issue 2, Pages 218-222 doi: 10.1007/s11708-007-0029-3
Keywords: HE-NE function convolution two-phase diffraction
Flexibility Prediction of Aggregated Electric Vehicles and Domestic Hot Water Systems in Smart Grids Article
Junjie Hu, Huayanran Zhou, Yihong Zhou, Haijing Zhang, Lars Nordströmd, Guangya Yang
Engineering 2021, Volume 7, Issue 8, Pages 1101-1114 doi: 10.1016/j.eng.2021.06.008
Keywords: Load flexibility Electric vehicles Domestic hot water system Temporal convolution network-combined
Title Author Date Type Operation
Amultimodal dense convolution network for blind image quality assessment
Nandhini CHOCKALINGAM, Brindha MURUGAN
Journal Article
Application of digital holography to circle flow bed boiler measurement
PU Shiliang, WANG Qinghui, CEN Kefa, Denis Lebrun, REN Kuanfang
Journal Article