第 1 到 38 筆結果,共 38 筆。
公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 | |
---|---|---|---|---|---|---|---|
1 | 2014 | Three-dimensional shape variation analysis on sinningia speciosa flowers | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2014 | |||
2 | 2017 | Three dimensional phenotype quantitative system of seedling root | Han T.-H.; YAN-FU KUO | 2017 ASABE Annual International Meeting | |||
3 | 2005 | System level design and initial equivalent system mass analysis of a solid-phase thermophilic aerobic rector for advanced life support systems | YAN-FU KUO ; Whitaker D.R.; Chiu G.T.-C. | SAE Technical Papers | |||
4 | 2017 | Studying floral shape variations in 3D for genus Sinningia | Chou W.-C.; Hsu H.-C.; YAN-FU KUO | 2017 ASABE Annual International Meeting | |||
5 | 2017 | Sea fish identification using convolutional neural network | Tung C.; Hsieh C.-L.; YAN-FU KUO | 2017 ASABE Annual International Meeting | |||
6 | 2013 | Quantitative evaluation of the floral shape variation in Sinningia speciosa domestication | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2013 | 0 | 0 | |
7 | 2015 | QR code detection using convolutional neural networks | YAN-FU KUO | 2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015 | 29 | 0 | |
8 | 2015 | Morphological integration between floral petals for Sinnigia speciosa | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2015 | 1 | ||
9 | 2019 | Monitoring growth rate of lettuce using deep convolutional neural networks | Lu, Jie Yan; Chang, Chung Liang; YAN-FU KUO | 2019 ASABE Annual International Meeting | |||
10 | 2018 | Monitoring chicken heat stress using deep convolutional neural networks | Lin C.-Y.; Hsieh K.-W.; Tsai Y.-C.; YAN-FU KUO | ASABE 2018 Annual International Meeting | |||
11 | 2009 | Modeling of tone deviation during switch-on transient for color electrophotography | YAN-FU KUO | International Conference on Digital Printing Technologies | |||
12 | 2013 | Measurement of degree of milling for rice using hyperspectral imaging | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 2013 | 0 | 0 | |
13 | 2009 | Improving tone prediction accuracy in calibration for color electrophotography Part II - Principal component regression | YAN-FU KUO | International Conference on Digital Printing Technologies | 0 | ||
14 | 2009 | Improving tone prediction accuracy in calibration for color electrophotography part I - Environmental and consumable | YAN-FU KUO | International Conference on Digital Printing Technologies | |||
15 | 2015 | Image-based approach to detect bakanae disease on rice seedlings | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2015 | |||
16 | 2021 | Identifying Tomato Diseases from Leave Images Using Deep Convolutional Neural Networks | Cheng H.-H; Dai Y.-L; Lin C.-P; Huang J.-H; Chen S.-F; YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021 | |||
17 | 2019 | Identifying species of common sea fish harvested by longliner using deep convolutional neural networks | Lu, Yi Chin; YAN-FU KUO | 2019 ASABE Annual International Meeting | 1 | 0 | |
18 | 2015 | Identifying rice grains of various cultivars using machine vision | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2015 | 2 | ||
19 | 2019 | Identifying and localizing the disease spots of late blight on tomato leaves using deep convolutional neural networks | Lin, Chu Ping; Cheng, Hsueh Hung; YAN-FU KUO; Huang, Jin Hsing; SHIH-FANG CHEN; Ke, Yan Ling; Lin, Chu Ping; Cheng, Hsueh Hung; YAN-FU KUO; Huang, Jin Hsing; SHIH-FANG CHEN; YAN-FU KUO ; SHIH-FANG CHEN | 2019 ASABE Annual International Meeting | |||
20 | 2016 | High-resolution phenotyping for investigating the genotype-phenotype association in rice grains | Kuo T.-Y.; Chen S.-Y.; Lin H.-A.; Chung C.-L.; CHIA-LIN CHUNG ; YAN-FU KUO | 2016 American Society of Agricultural and Biological Engineers Annual International Meeting | 0 | 0 | |
21 | 2019 | Estimating shrimp body length using deep convolutional neural network | Lin, Hong Yang; Lee, Hsin-Chen; Ng, Woei-Ling; Pai, Jyh Nain; YUAN-NAN CHU ; Liou, Chyng-Hwa; KUO-CHI LIAO ; YAN-FU KUO | 2019 ASABE Annual International Meeting | 4 | 0 | |
22 | 2023 | Early Warning System for Open-beaked Ratio, Spatial dispersion, and Movement of Chicken Using CNNs | Chen, Bo Lin; YAN-FU KUO | 2023 ASABE Annual International Meeting | |||
23 | 2018 | Discriminating morphologically similar species in Genus Cinnamomum (Lauraceae) using machine vision | Yang H.-W.; Hsu H.-C.; Yang C.-K.; Tsai M.-J.; YAN-FU KUO | 2018 ASABE Annual International Meeting | |||
24 | 2022 | Developing Cucumber Foliar Disease Complex Identification Using One-hot and Multi-hot Labeling Methods | Hsueh, Meng Chien; Dai, Yu Lun; Ling, Chu Ping; Huang, Jin Hsing; YAN-FU KUO ; SHIH-FANG CHEN | 2022 ASABE Annual International Meeting | |||
25 | 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 | |||
26 | 2023 | Detecting Carcass Defects of Native Chickens Using Convolutional Neural Networks | Lai, Pin Cheng; YAN-FU KUO | 2023 ASABE Annual International Meeting | |||
27 | 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 | ||
28 | 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 | |
29 | 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 | |||
30 | 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 | |
31 | 2013 | Cooperative teaching in a distance education environment | Thai, C.N.; YAN-FU KUO ; Yen, P.-L. | ASEE Annual Conference and Exposition, Conference Proceedings | |||
32 | 2018 | Cat face recognition using deep learning | Lin T.-Y.; YAN-FU KUO | ASABE 2018 Annual International Meeting | |||
33 | 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 | |||
34 | 2011 | Calibration color patch reduction for electrophotography | YAN-FU KUO | International Conference on Digital Printing Technologies | 0 | ||
35 | 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 | |||
36 | 2022 | Analyzing chicken activity level under heat stress condition using deep convolutional neural networks | Chang, Kai Rong; Shih, Fu Pang; Hsieh, Ming Kun; Hsieh, Kuang Wen; YAN-FU KUO | 2022 ASABE Annual International Meeting | |||
37 | 2012 | An adaptive model-based approach to reduce calibration frequency while maintaining tone consistency for color electrophotography | YAN-FU KUO ; Chiu, G.T.-C.; Kerby, G.H.; Trask, J.L.; Yih, Y.; Allebach, J.P. | International Conference on Digital Printing Technologies | |||
38 | 2013 | A comparison of machine learning methods on Hyperspectral plant disease assessments | YAN-FU KUO | IFAC Proceedings Volumes (IFAC-PapersOnline) | 16 |