Kai Liu

Orcid: 0000-0002-1556-1068

Affiliations:
  • Iowa State University, Department of Agricultural and Biosystems Engineering, Ames, IA, USA


According to our database1, Kai Liu authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
A teacher-to-student information recovery method toward energy-efficient animal activity recognition at low sampling rates.
Comput. Electron. Agric., October, 2023

Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions.
Comput. Electron. Agric., August, 2023

Occlusion-Resistant instance segmentation of piglets in farrowing pens using center clustering network.
Comput. Electron. Agric., July, 2023

Counting piglet suckling events using deep learning-based action density estimation.
Comput. Electron. Agric., July, 2023

A semi-supervised generative adversarial network for amodal instance segmentation of piglets in farrowing pens.
Comput. Electron. Agric., June, 2023

Demo Abstract: A Novel Firmware Update Over-The-Air System for LoRa Networks.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

FLoRa: Energy-Efficient, Reliable, and Beamforming-Assisted Over-The-Air Firmware Update in LoRa Networks.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

2022
Recent Advances in LoRa: A Comprehensive Survey.
ACM Trans. Sens. Networks, November, 2022

Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network.
CoRR, 2022

Automated detection and analysis of piglet suckling behaviour using high-accuracy amodal instance segmentation.
Comput. Electron. Agric., 2022

2021
Cross-Modality Interaction Network for Equine Activity Recognition Using Imbalanced Multi-Modal Data.
Sensors, 2021

Center clustering network improves piglet counting under occlusion.
Comput. Electron. Agric., 2021

Automated detection and analysis of social behaviors among preweaning piglets using key point-based spatial and temporal features.
Comput. Electron. Agric., 2021

Fast and accurate detection of lactating sow nursing behavior with CNN-based optical flow and features.
Comput. Electron. Agric., 2021

2016
Automatic recognition of lactating sow behaviors through depth image processing.
Comput. Electron. Agric., 2016


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