第 1 到 73 筆結果,共 73 筆。
公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 | |
---|---|---|---|---|---|---|---|
1 | 2024 | Enhancing machine learning-based age estimation for Pacific bluefin tuna: An approach with data imputation and image augmentation strategies | Ma, Tsung Hsiang; YI-JAY CHANG ; JEN-CHIEH SHIAO ; Jin, Chien Bang; YAN-FU KUO | Fisheries Research | |||
2 | 2023 | Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learning | Chen, Bo Lin; Cheng, Ting Hui; Huang, Yi Che; Hsieh, Yu Lun; Hsu, Hao Chun; Lu, Chen Yi; Huang, Mao Hsiang; Nien, Shu Yao; YAN-FU KUO | Poultry Science | 1 | 1 | |
3 | 2023 | Detecting Carcass Defects of Native Chickens Using Convolutional Neural Networks | Lai, Pin Cheng; YAN-FU KUO | 2023 ASABE Annual International Meeting | |||
4 | 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 | |||
5 | 2022 | Automatic measuring shrimp body length using CNN and an underwater imaging system | Lai, Pin Cheng; Lin, Hong Yang; Lin, Jui Yu; Hsu, Hao Chun; YUAN-NAN CHU ; Liou, Chyng Hwa; YAN-FU KUO | Biosystems Engineering | |||
6 | 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 | |||
7 | 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 | |||
8 | 2022 | Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks | Wu T.-Y; Yeh K.-T; Hsu H.-C; Yang C.-K; Tsai M.-J ; YAN-FU KUO | Ecological Informatics | 5 | 4 | |
9 | 2021 | Nectar Guide Patterns on Developmentally Homologous Regions of the Subtribe Ligeriinae (Gesneriaceae) | Hsu H.-C; YAN-FU KUO | Frontiers in Plant Science | 1 | 1 | |
10 | 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 | |||
11 | 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 | |||
12 | 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 | |||
13 | 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 | |||
14 | 2020 | Identifying the species of harvested tuna and billfish using deep convolutional neural networks | Lu, YC; Tung, C; Kuo, YF; YAN-FU KUO | ICES JOURNAL OF MARINE SCIENCE | 24 | 21 | |
15 | 2020 | 3D revelation of phenotypic variation, evolutionary allometry, and ancestral states of corolla shape: a case study of clade Corytholoma (subtribe Ligeriinae, family Gesneriaceae) | Hsu, Hao-Chun; Chou, Wen-Chieh; Kuo, Yan-Fu; YAN-FU KUO | GigaScience | 5 | 6 | |
16 | 2020 | Quantification of petal patterns and colours of genus Sinningia (GESNERIACEAE) | Hung, T.-T.; Hsu, H.-C.; YAN-FU KUO | Biosystems Engineering | 1 | ||
17 | 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 | ||
18 | 2020 | Automatic measurement of the body length of harvested fish using convolutional neural networks | Tseng, CH; Hsieh, CL; Kuo, YF; YAN-FU KUO | BIOSYSTEMS ENGINEERING | 24 | 22 | |
19 | 2020 | Automatic Identification of First-Order Veins and Corolla Contours in Three-Dimensional Floral Images | Wang, Y.-H.; Hsu, H.-C.; Chou, W.-C.; Liang, C.-H.; YAN-FU KUO | Frontiers in Plant Science | 1 | 1 | |
20 | 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 | |
21 | 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 | |||
22 | 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 | |||
23 | 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 | |
24 | 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 | |
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 | 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; Huang, Jin Hsing | 2019 ASABE Annual International Meeting | 1 | 0 | |
27 | 2019 | Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae)using deep convolutional neural networks | Yang H.-W.; Hsu H.-C.; Yang C.-K.; Tsai M.-J. ; YAN-FU KUO | Computers and Electronics in Agriculture | 20 | 15 | |
28 | 2018 | Developing a system for three-dimensional quantification of root traits of rice seedlings | YAN-FU KUO | Computers and Electronics in Agriculture | 18 | 10 | |
29 | 2018 | Quantifying colour and spot characteristics for the ventral petals in Sinningia speciosa | H. C. Hsu; K. L. Hsu; C. Y. Chan; C. N. Wang ; YAN-FU KUO | Biosystems Engineering | 4 | 3 | |
30 | 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 | |
31 | 2018 | Cat face recognition using deep learning | Lin T.-Y.; YAN-FU KUO | ASABE 2018 Annual International Meeting | |||
32 | 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 | |||
33 | 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 | |||
34 | 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 | |||
35 | 2017 | Association between Petal Form Variation and CYC2 like Genotype in a Hybrid Line of Sinningia speciosa | H. C. Hsu; C. N. Wang ; C. H. Liang; C. C. Wang; YAN-FU KUO | Frontiers in Plant Science | 16 | 16 | |
36 | 2017 | Sea fish identification using convolutional neural network | Tung C.; Hsieh C.-L.; YAN-FU KUO | 2017 ASABE Annual International Meeting | |||
37 | 2017 | Three dimensional phenotype quantitative system of seedling root | Han T.-H.; YAN-FU KUO | 2017 ASABE Annual International Meeting | |||
38 | 2017 | Studying floral shape variations in 3D for genus Sinningia | Chou W.-C.; Hsu H.-C.; YAN-FU KUO | 2017 ASABE Annual International Meeting | |||
39 | 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 | |||
40 | 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 | |
41 | 2016 | Strawberry foliar anthracnose assessment by hyperspectral imaging | Yeh Y.-H.; Chung W.-C.; Liao J.-Y.; Chung C.-L. ; Kuo Y.-F. ; TA-TE LIN | Computers and Electronics in Agriculture | 34 | 29 | |
42 | 2016 | Identifying rice grains using image analysis and sparse-representation-based classification | Kuo, T.-Y.; CHIA-LIN CHUNG ; Chen, S.-Y.; Lin, H.-A.; YAN-FU KUO | Computers and Electronics in Agriculture | |||
43 | 2015 | Measurement of residual bran distribution on milled rice using fluorescence fingerprint-derived imaging | YAN-FU KUO | Food Science and Technology Research | 2 | 1 | |
44 | 2015 | QR code detection using convolutional neural networks | YAN-FU KUO | 2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015 | 29 | 0 | |
45 | 2015 | Morphological integration between floral petals for Sinnigia speciosa | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2015 | 1 | ||
46 | 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 | ||
47 | 2015 | Quantitative analysis of floral symmetry and tube dilation in an F<inf>2</inf> cross of Sinningia speciosa | Hsu, H.-C.; Chen, C.-Y.; Lee, T.-K.; Weng, L.-K.; DER-MING YEH ; TA-TE LIN ; CHUN-NENG WANG ; YAN-FU KUO | Scientia Horticulturae | |||
48 | 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 | |||
49 | 2015 | Quantifying floral shape variation in 3D using microcomputed tomography: A case study of a hybrid line between actinomorphic and zygomorphic flowers | CHUN-NENG WANG ; Hsu, H.-C.; Wang, C.-C.; Lee, T.-K.; YAN-FU KUO | Frontiers in Plant Science | |||
50 | 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 | |||
51 | 2014 | Observation and measurement of residual bran on milled rice using hyperspectral imaging | YAN-FU KUO | Cereal Chemistry | 5 | 4 | |
52 | 2014 | Three-dimensional shape variation analysis on sinningia speciosa flowers | YAN-FU KUO | American Society of Agricultural and Biological Engineers Annual International Meeting 2014 | |||
53 | 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 | ||
54 | 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 | |
55 | 2013 | Cooperative teaching in a distance education environment | YAN-FU KUO | Computers in Education Journal | 0 | ||
56 | 2013 | Cooperative teaching in a distance education environment | Thai, C.N.; YAN-FU KUO ; Yen, P.-L. | ASEE Annual Conference and Exposition, Conference Proceedings | |||
57 | 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 | |||
58 | 2013 | A comparison of machine learning methods on Hyperspectral plant disease assessments | YAN-FU KUO | IFAC Proceedings Volumes (IFAC-PapersOnline) | 16 | ||
59 | 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 | |
60 | 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 | |||
61 | 2012 | Experimental characterization of transient tone deviation in print jobs for color electrophotography | YAN-FU KUO | Journal of Imaging Science and Technology | 2 | 2 | |
62 | 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 | |||
63 | 2011 | Calibration color patch reduction for electrophotography | YAN-FU KUO | International Conference on Digital Printing Technologies | 0 | ||
64 | 2011 | Model-based calibration approach to improve tone consistency for color electrophotography | YAN-FU KUO | Journal of Imaging Science and Technology | 6 | 5 | |
65 | 2010 | Improving tone prediction in calibration of electrophotographic printers by linear regression: Environmental, consumables and tone-level factors | YAN-FU KUO | Journal of Imaging Science and Technology | 8 | 7 | |
66 | 2010 | Improving tone prediction in calibration of electrophotographic printers by linear regression: Using principal components to account for co-linearity of sensor measurements | YAN-FU KUO | Journal of Imaging Science and Technology | 8 | 7 | |
67 | 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 | ||
68 | 2009 | Modeling of tone deviation during switch-on transient for color electrophotography | YAN-FU KUO | International Conference on Digital Printing Technologies | |||
69 | 2009 | Improving tone prediction accuracy in calibration for color electrophotography part I - Environmental and consumable | YAN-FU KUO | International Conference on Digital Printing Technologies | |||
70 | 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 | |||
71 | 2004 | 應用影像處理技術輔助植物葉片之幾何模擬 | 郭彥甫 ; 林達德 ; 王嘉銳; TA-TE LIN | 農業機械學刊 | |||
72 | 2001 | 應用脈動式核磁共振量測醣類水溶液及果汁之可溶性固形物含量 | 郭彥甫 ; 林達德 | 農業機械學刊 | |||
73 | - | 脈衝式低解析度核磁共振儀對水果糖度量測之應用 | 郭彥甫 ; 林達德 |