公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2021 | AUTOMATIC MONITORING of CHICKEN MOVEMENT and DRINKING TIME USING CONVOLUTIONAL NEURAL NETWORKS | Lin C.-Y; Hsieh K.-W; Tsai Y.-C; YAN-FU KUO | Transactions of the ASABE | | | |
2021 | Automatic monitoring of lactation frequency of sows and movement quantification of newborn piglets in farrowing houses using convolutional neural networks | Ho K.-Y; Tsai Y.-J; YAN-FU KUO | Computers and Electronics in Agriculture | | | |
2018 | Automatically identifying floral contours and vascular bundles in 3D images | Wang Y.-H.; Hsu H.-C.; Chou W.-C.; YAN-FU KUO | ASABE 2018 Annual International Meeting | | | |
2013 | Calibration color patch reduction and halftone level selection for electrophotography | YAN-FU KUO ; Chiu, G.T.-C.; Allebach, J.P. | Journal of Imaging Science and Technology | | | |
2011 | Calibration color patch reduction for electrophotography | YAN-FU KUO | International Conference on Digital Printing Technologies | 0 | | |
2012 | Cartridge clustering for improving tone prediction accuracy in calibration for color electrophotography | Yang, C.-L.; YAN-FU KUO ; Yih, Y.; Chiu, G.T.-C.; Allebach, J.P. | International Conference on Digital Printing Technologies | | | |
2018 | Cat face recognition using deep learning | Lin T.-Y.; YAN-FU KUO | ASABE 2018 Annual International Meeting | | | |
2015 | Computer-aided assessment of tumor grade for breast cancer in ultrasound images | Chen, D.-R.; Chien, C.-L.; YAN-FU KUO | Computational and Mathematical Methods in Medicine | | | |
2013 | Cooperative teaching in a distance education environment | Thai, C.N.; YAN-FU KUO ; Yen, P.-L. | ASEE Annual Conference and Exposition, Conference Proceedings | | | |
2013 | Cooperative teaching in a distance education environment | YAN-FU KUO | Computers in Education Journal | 0 | | |
2019 | Counting bacterial colony on agar plates using deep convolutional neural network | Chen, Szu Yu; YAN-FU KUO ; Lin, Hong Ye; Hong-Ye Lin; Szu-Yu Chen; Chia-Lin Chung; CHIA-LIN CHUNG | 2019 ASABE Annual International Meeting | 2 | 0 | |
2020 | Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks | Tseng, C.-H.; YAN-FU KUO | ICES Journal of Marine Science | | 31 | |
2019 | Detecting and counting harvested fish and measuring fish body lengths in video using deep learning methods | Tseng, Chi Hsuan; YAN-FU KUO | 2019 ASABE Annual International Meeting | | | |
2018 | Detecting and counting soybean aphids using convolutional neural network | Hsieh K.-Y.; Ho C.-K.; YAN-FU KUO ; CHUAN-KAI HO | ASABE 2018 Annual International Meeting | 1 | 0 | |
2016 | Detecting Bakanae disease in rice seedlings by machine vision | CHIA-LIN CHUNG ; Kai-Jyun Huang; Szu-Yu Chen; Ming-Hsing Lai; Yu-Chia Chen; YAN-FU KUO | Computers and Electronics in Agriculture | | | |
2014 | Detecting bran residue distribution on rice surface using fluorescence imaging | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 | 1 | | |
2023 | Detecting Carcass Defects of Native Chickens Using Convolutional Neural Networks | Lai, Pin Cheng; YAN-FU KUO | 2023 ASABE Annual International Meeting | | | |
2019 | Determining the body condition scores of sows using convolutional neural networks | Mao-Hsiang Huang; EN-CHUNG LIN ; YAN-FU KUO | 2019 ASABE Annual International Meeting | | | |
2021 | Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks | Lin Y.-K; Chen S.-F; YAN-FU KUO ; Liu T.-L; Lee S.-Y. | Computers and Electronics in Agriculture | | | |
2018 | Developing a system for three-dimensional quantification of root traits of rice seedlings | YAN-FU KUO | Computers and Electronics in Agriculture | 18 | 10 | |