Results 131 to 140 of about 71,942 (280)

From dusk till dawn: ecoacoustic monitoring reveals wind energy impacts on roding Eurasian woodcock Scolopax rusticola

open access: yesWildlife Biology, EarlyView.
Renewable energy is vital for reducing carbon emissions and yet its infrastructure poses challenges to biodiversity. While the impacts of wind power on bats and raptors are well‐studied, the effects on elusive species remain largely unknown. The Eurasian woodcock Scolopax rusticola, a nocturnal forest bird, performs characteristic courtship flights at ...
Jan O. Engler   +6 more
wiley   +1 more source

Experimental assessment of large mammal population estimates from airborne thermal videography

open access: yesWildlife Biology, EarlyView.
Wildlife resource management requires reliable, fast, and affordable methods of surveying wildlife populations to develop and adaptively adjust policies. Thermal video from drones can yield high rates of detection over large areas with relative speed and safety.
Julia S. McElhinny   +7 more
wiley   +1 more source

Parturition timing and the pre‐ and post‐partum behaviour of female moose assessed using animal‐borne video and movement‐based approaches

open access: yesWildlife Biology, EarlyView.
Limited information on moose calving behaviour, including parturition timing, cow‐calf interactions, and pre‐ and post‐partum movement patterns hinder our ability to define calving phenology and habitat use. GPS‐collars were deployed on 89 female moose over five years, including eight collars equipped with animal‐borne video and environmental data ...
Mikaela Borgeaud LeBlanc   +3 more
wiley   +1 more source

Glowworm swarm optimisation for training multi-layer perceptrons [PDF]

open access: yes, 2017
Alboaneen, Dabiah Ahmed   +2 more
core   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy