Results 211 to 220 of about 201,380 (240)

Deep Learning–Driven Surface‐Enhanced Raman Scattering–Lateral Flow Immunoassay With Au Nanostars for High‐Accuracy Respiratory Virus Detection

open access: yesRare Metals, EarlyView.
ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao   +9 more
wiley   +1 more source

First record of Prosogonotrema bilabiatum Vigueras, 1940 (digenea: Sclerodistomidae) in marine fishes from the Persian Gulf, Hormozgan Province, Southern Iran. [PDF]

open access: yesBMC Vet Res
Eslahi AV   +9 more
europepmc   +1 more source

Bias in Peak Flood Discharges: Are Our Bridges and Culverts Undersized?

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Reliable methods for peak discharge predictions at ungaged locations are required for infrastructure design and floodplain management. For decades, a standard practice in the United States has been to utilize US Geological Survey regional regression equations (StreamStats) as a singular method. However, implementation of multiple methods, such
Steven E. Yochum, Tyler Wible
wiley   +1 more source

DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken   +4 more
wiley   +1 more source

From snapshots to continuous estimates: Augmenting citizen science with computer vision for fish monitoring

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents an end‐to‐end computer‐vision pipeline for monitoring fish migration using underwater video. We integrate field camera deployment, annotation, model training and automated in‐season counting to generate continuous, high‐resolution data on river herring spawning migration.
Zhongqi Chen   +7 more
wiley   +1 more source

Big Bird: A global dataset of birds in drone imagery annotated to species level

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson   +19 more
wiley   +1 more source

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