no code implementations • 12 Mar 2021 • C. Chalmers, P. Fergus, S. Wich, S. N. Longmore
For centuries researchers have used sound to monitor and study wildlife.
no code implementations • 16 Feb 2020 • P. Fergus, C. Chalmers
Fuel poverty affects between 50 and 125 million households in Europe and is a significant issue for both developed and developing countries globally.
no code implementations • 16 Oct 2019 • C. Chalmers, P. Fergus, Serge Wich, Aday Curbelo Montanez
Using a robust deep learning pipeline, a convolutional neural network is trained and implemented to detect rhinos and cars (considered an important tool in poaching for fast access and artefact transportation in natural habitats) in the study, that are found within live video streamed from drones Transfer learning with the Faster RCNN Resnet 101 is performed to train a custom model with 350 images of rhinos and 350 images of cars.
no code implementations • 18 Mar 2019 • C. Chalmers, P. Fergus, C. Aday Curbelo Montanez, S. Sikdar, F. Ball, B. Kendall
While the Decision Forest achieved (AUC=0. 9429, Sen=0. 9634 and Spec=0. 9634).