Results 181 to 190 of about 54,748 (265)

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

The Collision of Tradition, Technology, and Capitalism in American Hunting Culture 美国狩猎文化中传统、技术与资本的碰撞

open access: yesWildlife Letters, EarlyView.
This essay describes the context of big game hunting in the western United States in the twenty‐first century from a sociological perspective. Using Ogburn's theory of cultural lag as a guide, it explores the relationship of technology and capitalism to hunting.
Stephen L. Eliason
wiley   +1 more source

Nesting ecology of an ice‐associated seabird, Kittlitz's murrelet, at the northern edge of its range

open access: yesWildlife Society Bulletin, EarlyView.
We studied the Kittlitz's murrelet, an ice‐associated seabird of conservation concern, at the northern edge of its range. Over a 2‐year period, we estimated nest density and success at 2 sites, captured and telemetered nesting murrelets, and tested the use of a thermal camera to improve nest detection.
Michelle L. Kissling   +9 more
wiley   +1 more source

Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie   +6 more
wiley   +1 more source

A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan   +5 more
wiley   +1 more source

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