Results 171 to 180 of about 29,645 (311)

A Practical Guide to Spectrogram Analysis for Audio Signal Processing

open access: yes
The paper summarizes spectrogram and gives practical application of spectrogram in signal processing. For analysis, finger-snapping is recorded with a sampling rate of 441000 Hz and 96000 Hz.
Khodzhaev, Zulfidin
core   +1 more source

Passive acoustic monitoring with AI‐based detection and identification reveal sooty grouse hooting patterns in western Oregon

open access: yesWildlife Biology, EarlyView.
Many bird species are monitored using auditory point count surveys during the breeding season. Autonomous recording units (ARUs) can be used to better understand the daily and seasonal timing of when a species is vocalizing, which can help align surveys with the time period when the maximum number of individuals are present. We used ARUs to improve our
K. M. Walton   +5 more
wiley   +1 more source

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

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu   +3 more
wiley   +1 more source

Application of Deep Learning in Virtual Power Plants—A Review

open access: yesEnergy Internet, EarlyView.
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu   +7 more
wiley   +1 more source

Time-Frequency and Spectral Analysis of Welding Arc Sound for Automated SMAW Quality Classification. [PDF]

open access: yesSensors (Basel)
García Rodríguez A   +3 more
europepmc   +1 more source

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