| 臺大學術典藏 |
2022-04-25T06:12:54Z |
Automated monitoring and analyses of honey bee pollen foraging behavior using a deep learning-based imaging system
|
Ngo T.N;Rustia D.J.A;Yang E.-C;Lin T.-T.; Ngo T.N; Rustia D.J.A; Yang E.-C; Lin T.-T.; EN-CHENG YANG |
| 臺大學術典藏 |
2022-04-25T03:57:32Z |
Automated monitoring and analyses of honey bee pollen foraging behavior using a deep learning-based imaging system
|
Ngo T.N;Rustia D.J.A;Yang E.-C;Lin T.-T.; Ngo T.N; Rustia D.J.A; Yang E.-C; Lin T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2022-04-25T03:57:31Z |
Remote surveillance video activity recognition using spatiotemporal convolutional neural networks for greenhouse workload analysis
|
Liu L.-C;Rustia D.J.A;Lin T.-T.; Liu L.-C; Rustia D.J.A; Lin T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2022-04-25T03:57:30Z |
Tree-based deep convolutional neural network for hierarchical identification of low-resolution insect images
|
Rustia D.J.A;Wu Y.-F;Shih P.-Y;Chen S.-K;Chung J.-Y;Lin T.-T.; Rustia D.J.A; Wu Y.-F; Shih P.-Y; Chen S.-K; Chung J.-Y; Lin T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2021-07-26T10:01:38Z |
Honey bee colony population daily loss rate forecasting and an early warning method using temporal convolutional networks
|
Ngo T.-N;Rustia D.J.A;Yang E.-C;Lin T.-T.; Ngo T.-N; Rustia D.J.A; Yang E.-C; Lin T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2021-07-26T10:01:38Z |
Automatic greenhouse insect pest detection and recognition based on a cascaded deep learning classification method
|
Rustia D.J.A;Chao J.-J;Chiu L.-Y;Wu Y.-F;Chung J.-Y;Hsu J.-C;Lin T.-T.; Rustia D.J.A; Chao J.-J; Chiu L.-Y; Wu Y.-F; Chung J.-Y; Hsu J.-C; Lin T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2021-07-26T10:01:37Z |
Online semi-supervised learning applied to an automated insect pest monitoring system
|
Rustia D.J.A;Lu C.-Y;Chao J.-J;Wu Y.-F;Chung J.-Y;Hsu J.-C;Lin T.-T.; Rustia D.J.A; Lu C.-Y; Chao J.-J; Wu Y.-F; Chung J.-Y; Hsu J.-C; Lin T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2021-07-26T09:44:34Z |
Online semi-supervised learning applied to an automated insect pest monitoring system
|
Rustia D.J.A;Lu C.-Y;Chao J.-J;Wu Y.-F;Chung J.-Y;Hsu J.-C;Lin T.-T.; Rustia D.J.A; Lu C.-Y; Chao J.-J; Wu Y.-F; Chung J.-Y; Hsu J.-C; Lin T.-T.; JU-CHUN HSU |
| 臺大學術典藏 |
2021-07-26T09:44:34Z |
Automatic greenhouse insect pest detection and recognition based on a cascaded deep learning classification method
|
Rustia D.J.A;Chao J.-J;Chiu L.-Y;Wu Y.-F;Chung J.-Y;Hsu J.-C;Lin T.-T.; Rustia D.J.A; Chao J.-J; Chiu L.-Y; Wu Y.-F; Chung J.-Y; Hsu J.-C; Lin T.-T.; JU-CHUN HSU |
| 臺大學術典藏 |
2021-07-26T09:44:32Z |
Honey bee colony population daily loss rate forecasting and an early warning method using temporal convolutional networks
|
Ngo T.-N;Rustia D.J.A;Yang E.-C;Lin T.-T.; Ngo T.-N; Rustia D.J.A; Yang E.-C; Lin T.-T.; EN-CHENG YANG |
| 臺大學術典藏 |
2021-06-04T09:08:43Z |
Application of an image and environmental sensor network for automated greenhouse insect pest monitoring
|
Rustia, D.J.A.;Lin, C.E.;Chung, J.-Y.;Zhuang, Y.-J.;Hsu, J.-C.;Lin, T.-T.; Rustia, D.J.A.; Lin, C.E.; Chung, J.-Y.; Zhuang, Y.-J.; Hsu, J.-C.; Lin, T.-T.; JU-CHUN HSU; TA-TE LIN |
| 臺大學術典藏 |
2021-02-20T08:35:42Z |
An online unsupervised deep learning approach for an automated pest insect monitoring system
|
Rustia, D.J.A.; Chao, J.-J.; Chung, J.-Y.; Lin, T.-T.; Rustia, D.J.A.; Chao, J.-J.; Chung, J.-Y.; Lin, T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2021-02-20T08:35:41Z |
Stochastic models for greenhouse whitefly flight behavior based on wireless image monitoring system measurements
|
Rustia, D.J.A.; Lin, T.-T.; Rustia, D.J.A.; Lin, T.-T.; TA-TE LIN |
| 臺大學術典藏 |
2020-12-02T07:28:13Z |
Assessment of dairy cow heat stress by monitoring drinking behaviour using an embedded imaging system
|
Tsai, Y.-C.;Hsu, J.-T.;Ding, S.-T.;Rustia, D.J.A.;Lin, T.-T.; Tsai, Y.-C.; Hsu, J.-T.; Ding, S.-T.; Rustia, D.J.A.; Lin, T.-T.; JIH-TAY HSU; SHIH-TORNG DING; TA-TE LIN |
| 臺大學術典藏 |
2019-12-24T09:06:22Z |
An IoT-based wireless imaging and sensor node system for remote greenhouse pest monitoring
|
Rustia D.J.A.; Lin T.-T.; TA-TE LIN |
| 國立臺灣科技大學 |
2016 |
A system platform with conductometric and potentiometrie sensors for point-of-care testing of urine quality
|
Chung, W.-Y;Silverio, A.A;Rustia, D.J.A;Chang, S.-Y;Lo, Y.-W;Tsai, V.F.S;Cheng, Cheng C;Tatel, J.D. |
