Detection of Estrus in Cattle by using Image Technology and Machine Learning Methods. - Su Myat Noe; Thi Thi Zin; Pyke Tin; Hiromitsu Hama (GCCE, 2020)

Automatic Detection of Mounting Behavior in Cattle using Semantic Segmentation and Classification. - Su Myat Noe; Thi Thi Zin; Pyke Tin; Ikuo Kobayashi (LifeTech, 2021)

A Deep Learning-based solution to Cattle Region Extraction for Lameness Detection. - Su Myat Noe; Thi Thi Zin; Pyke Tin; Ikuo Kobayashi (LifeTech, 2022)

An Intelligent Method for Detecting Lameness in Modern Dairy Industry. - Thi Thi Zin; Moe Zet Pwint; Su Myat Noe; Ikuo Kobayashi (LifeTech, 2022)

Efficient Segment-Anything Model for Automatic Mask Region Extraction in Livestock Monitoring. - Su Myat Noe; Thi Thi Zin; Pyke Tin; Ikoub Kobyashi (ICCE-Berlin, 2023)

Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle. - Su Myat Noe; Thi Thi Zin; Pyke Tin; Ikuo Kobayashi (Sensors, 2023)

From Vision to Vocabulary: A Multimodal Approach to Detect and Track Black Cattle Behaviors. - Su Myat Noe; Thi Thi Zin; Pyke Tin; Ikuo Kobayashi (ICGEC (1), 2024)

BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning. - Ha-Thanh Nguyen; Chaoran Liu; Qianying Liu; Hideyuki Tachibana; Su Myat Noe; Yusuke Miyao; Koichi Takeda 003; Sadao Kurohashi (CoRR, 2025)