Brendah Nyaguthii

This paper argues for moving beyond performance metrics in ML classification for animal studies and proposes simulations and biological validations to better assess model utility despite noisy data.

The paper shows density increases network connectedness in wild animal populations, but effects saturate, with stronger spatial than social impacts.

This study examines how environmental and social factors influence space use consistency in non-territorial vulturine guineafowl groups.

This study shows that group size affects how vulturine guineafowl adjust their behavior to thermoregulation-foraging trade-offs, with intermediate group sizes showing more flexible use of open areas.

This paper introduces a low-cost, low-energy animal tracking system using Bluetooth low energy beacons and crowd-sourced mobile phone networks to enable long-term tracking of small animals in urban and non-urban environments.