Results 221 to 230 of about 41,575 (296)

In situ aerial bioacoustic monitoring from extremely noisy drone recordings

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 7, Page 2061-2072, July 2026.
Abstract Aerial bioacoustic monitoring has the potential to transform biodiversity surveys by enabling rapid acoustic sampling across large and inaccessible habitats. However, its application from unmanned aerial vehicles (UAVs) has remained limited because strong rotor self‐noise overwhelms target sounds such as bird vocalisations, compromising the ...
Lin Wang   +2 more
wiley   +1 more source

Common ground: Efficient, consistent, observer‐independent bioacoustic call density estimation with adjudicated ground truth and capture–recapture detection functions

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 7, Page 2161-2174, July 2026.
Abstract Passive acoustic recording is a cost‐effective method for monitoring vocal animals. Within this field, there is an increasing focus on automated detection algorithms for counting calls and estimating call density (in space and time). For accurate interpretation of such results, it is important to understand and correct biases introduced by ...
Brian S. Miller   +7 more
wiley   +1 more source

Predicting wheat yield and grain quality with UAV multispectral imagery and deep learning. [PDF]

open access: yesFront Plant Sci
Billah MM   +7 more
europepmc   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani   +3 more
wiley   +1 more source

Advancing Marine Bioacoustics With Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

open access: yesMarine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese   +3 more
wiley   +1 more source

Adaptive Acoustic Monitoring for Endangered Cook Inlet Beluga Whales in Complex Soundscapes

open access: yesMarine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Effective conservation of the endangered Cook Inlet beluga whale (Delphinapterus leucas) requires comprehensive spatiotemporal data, yet monitoring efforts remain spatially biased, underrepresenting important southern habitats. Passive acoustic monitoring (PAM) provides the necessary broad‐scale coverage, but its expansion introduces ...
Manuel Castellote   +7 more
wiley   +1 more source

Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort study. [PDF]

open access: yesEBioMedicine
Choi Y   +16 more
europepmc   +1 more source

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