63 citations · 89 across the 6 of their papers we have counts for
4 papers · 1 filter
In-situ animal behavior classification using knowledge distillation and fixed-point quantization
Reza Arablouei, Liang Wang, Caitlin Phillips +3
We explore the use of knowledge distillation (KD) for learning compact and accurate models that enable classification of animal behavior from accelerometry data on wearable devices…
Multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and GNSS data
Reza Arablouei, Ziwei Wang, Greg J. Bishop-Hurley +1
In this paper, we examine the use of data from multiple sensing modes, i.e., accelerometry and global navigation satellite system (GNSS), for classifying animal behavior. We extrac…
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks
Liang Wang, Reza Arablouei, Flavio A. P. Alvarenga +1
We study the classification of animal behavior using accelerometry data through various recurrent neural network (RNN) models. We evaluate the classification performance and comple…
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3
Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…