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Su Myat Noe

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2020 – today

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2023
[j1]
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  - journals/sensors/NoeZTK23
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  - https://dblp.org/rec/journals/sensors/NoeZTK23
Su Myat Noe, Thi Thi Zin, Pyke Tin, Ikuo Kobayashi:
Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle. Sensors 23(1): 532 (2023)
[c5]
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  - conf/icce-berlin/NoeZTK23
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Su Myat Noe, Thi Thi Zin, Pyke Tin, Ikoub Kobyashi:
Efficient Segment-Anything Model for Automatic Mask Region Extraction in Livestock Monitoring. ICCE-Berlin 2023: 167-171
2022
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  - conf/lifetech/ZinPNK22
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Thi Thi Zin, Moe Zet Pwint, Su Myat Noe, Ikuo Kobayashi:
An Intelligent Method for Detecting Lameness in Modern Dairy Industry. LifeTech 2022: 564-565
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Su Myat Noe, Thi Thi Zin, Pyke Tin, Ikuo Kobayashi:
A Deep Learning-based solution to Cattle Region Extraction for Lameness Detection. LifeTech 2022: 572-573
2021
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  - conf/lifetech/NoeZTK21
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Su Myat Noe, Thi Thi Zin, Pyke Tin, Ikuo Kobayashi:
Automatic Detection of Mounting Behavior in Cattle using Semantic Segmentation and Classification. LifeTech 2021: 227-228
2020
[c1]
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  - conf/gcce/NoeZTH20
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Su Myat Noe, Thi Thi Zin, Pyke Tin, Hiromitsu Hama:
Detection of Estrus in Cattle by using Image Technology and Machine Learning Methods. GCCE 2020: 320-321

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