Results 41 to 50 of about 36,636 (262)
Improved Wildlife Recognition through Fusing Camera Trap Images and Temporal Metadata
Camera traps play an important role in biodiversity monitoring. An increasing number of studies have been conducted to automatically recognize wildlife in camera trap images through deep learning. However, wildlife recognition by camera trap images alone
Lei Liu, Chao Mou, Fu Xu
doaj +1 more source
Knowledge of elephant movement and grouping patterns in the wild is critical for their management and conservation. Much of these data come from GPS collar data and aerial surveys, which have provided invaluable information, but data from these methods ...
Jodie L. Berezin +3 more
doaj +1 more source
An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells
Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio +8 more
wiley +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Assessing efficacy of cellular transmission technology in camera trapping for wildlife research
Camera traps are an important noninvasive tool used by scientists to monitor wildlife efficiently and at reduced costs. New camera trap features improve performance and encourage increased use by researchers and the public. Cellular transmission of image
Lydia A. Laughlin +13 more
doaj +1 more source
Animal image identification and classification using deep neural networks techniques
Abtract: Animal identification research, there haven't been many effective methods introduced, especially in the area of predator species. In this article, we provide a reliable learning strategy for categorising animals from camera-trap photos captured ...
Thirupathi Battu +1 more
doaj +1 more source
Game counts provide essential information for the management of wildlife populations. On Ongava Game Reserve we assessed whether camera traps could assist in the count process. We found that camera traps not only can substitute for human observers for nocturnal counts, they record more events and hence count more animals.
K Stratford, S Naholo
openaire +1 more source
In‐situ doping during growth of SnSe and subsequent attachment of SnS produces high‐quality lateral pn‐heterojunctions between van der Waals semiconductors. Electron beam induced current measurements demonstrate electrically active pn‐junctions, paving the way for devices that harness charge separation at lateral interfaces in layered heterostructures.
Peter Sutter +4 more
wiley +1 more source
Can edge AI mitigate environmental effects on camera trap performance?
Abiotic and biotic conditions can affect camera trap performance, and failure to account for environmental factors can bias wildlife research and management inferences modeled from camera trap data. We investigated whether a camera trap enabled with edge
Taylor L. Kaltenbach +3 more
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Linking camera‐trap data to taxonomy: Identifying photographs of morphologically similar chipmunks
Remote cameras are a common method for surveying wildlife and recently have been promoted for implementing large‐scale regional biodiversity monitoring programs. The use of camera‐trap data depends on the correct identification of animals captured in the
Fiona E. McKibben, Jennifer K. Frey
doaj +1 more source

