In situ aerial bioacoustic monitoring from extremely noisy drone recordings
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
Advanced simulation and numerical evaluation of pharmaceutical solubility estimation under supercritical processing using artificial intelligence computations. [PDF]
Albariqi AH +5 more
europepmc +1 more source
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]
Billah MM +7 more
europepmc +1 more source
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
DNN-assisted waveguide width extraction via optical measurement of a single low-order Mach-Zehnder interferometer. [PDF]
Wang F +5 more
europepmc +1 more source
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
Hybrid equivalent circuit-deep neural network design of optically transparent metasurface with microwave RCS reduction. [PDF]
Si L +8 more
europepmc +1 more source
Adaptive Acoustic Monitoring for Endangered Cook Inlet Beluga Whales in Complex Soundscapes
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]
Choi Y +16 more
europepmc +1 more source

