Results 141 to 150 of about 235,871 (308)

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

open access: yesWildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge   +4 more
wiley   +1 more source

Erratum: "Associations of Combined Exposures to Surrounding Green, Air Pollution, and Road Traffic Noise with Cardiometabolic Diseases". [PDF]

open access: yesEnviron Health Perspect, 2022
Klompmaker JO   +8 more
europepmc   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam   +9 more
wiley   +1 more source

Road traffic noise exposure and blood DNA methylation at birth and in childhood: An epigenome-wide meta-analysis. [PDF]

open access: yesEnviron Int
Yu Z   +32 more
europepmc   +1 more source

The Burden of Disease Due to Road Traffic Noise in Hesse, Germany. [PDF]

open access: yesInt J Environ Res Public Health, 2021
Hegewald J   +3 more
europepmc   +1 more source

An object detection algorithm based on deep learning and salient feature fusion for roadside surveillance camera

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In intelligent transportation systems, object detection for a surveillance video is one of the important functions. The performance of existing surveillance video object detection algorithms is affected by the conflict between the features of the objects, which leads to a decline in precision.
Yang He   +5 more
wiley   +1 more source

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