Classification of multiple cattle behavior patterns using a recurrent neural network with long short-term memory and inertial measurement units. - Yingqi Peng; Naoshi Kondo; Tateshi Fujiura; Tetsuhito Suzuki; Wulandari; Hidetsugu Yoshioka; Erina Itoyama (Comput. Electron. Agric., 2019)

Dam behavior patterns in Japanese black beef cattle prior to calving: Automated detection using LSTM-RNN. - Yingqi Peng; Naoshi Kondo; Tateshi Fujiura; Tetsuhito Suzuki; Otieno Samuel Ouma; Wulandari; Hidetsugu Yoshioka; Erina Itoyama (Comput. Electron. Agric., 2020)

Japanese Black cattle call patterns classification using multiple acoustic features and machine learning models. - Yingqi Peng; Wulandari; Naoshi Kondo; Tateshi Fujiura; Tetsuhito Suzuki; Hidetsugu Yoshioka; Erina Itoyama (Comput. Electron. Agric., 2023)

Poster: Enabling IoT Application Programming in Natural Language with IoTPilot. - Kaijie Gong; Wei Dong 001; Yingqi Peng; Hao Wang; Yi Gao 001 (SenSys, 2024)

A multimodal classification method: Cow behavior pattern classification with improved EdgeNeXt using an inertial measurement unit. - Yingqi Peng; Yingxi Chen; Yuxiang Yang 004; Meiqi Liu; Rui Hu; Huawei Zou; Jianxin Xiao; Yahui Jiang; Zhisheng Wang; Lijia Xu (Comput. Electron. Agric., 2024)

A real-time feeding behavior monitoring system for individual yak based on facial recognition model. - Yuxiang Yang 004; Meiqi Liu; Zhaoyuan Peng; Yifan Deng; Luhui Gu; Yingqi Peng (PeerJ Comput. Sci., 2024)

Truth based three-tier Combinatorial Multi-Armed Bandit ecosystems for mobile crowdsensing. - Yingqi Peng; Wei Liu 077; Anfeng Liu; Tian Wang 001; Houbing Song; Shaobo Zhang 001 (Expert Syst. Appl., 2024)