Results 151 to 160 of about 137,235 (297)
HOWLish: a CNN for automated wolf howl detection
Automated detection of wolf howls presents a great opportunity for large‐scale passive acoustic monitoring of wolf populations. Here we present HOWLish, a CNN trained for automated wolf howl detection, based on thousands of hours of soundscapes recorded in the wild.
Rafael Campos +3 more
wiley +1 more source
Contrasting whole-genome diversity patterns and adaptation in honeybees from two southern European glacial refugia. [PDF]
Yadró Garcia CA +10 more
europepmc +1 more source
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard +9 more
wiley +1 more source
Helium isotope anomaly in groundwater prior to the 2024 Noto Peninsula earthquake. [PDF]
Kagoshima T +8 more
europepmc +1 more source
Contribution to a List of the Coleoptera of theLower Peninsula of Michigan [PDF]
Tyler Townsend
openalex +1 more source
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen +7 more
wiley +1 more source
Protocol for the 'Beyond 50' prospective observational cohort study: investigating the impact of physical and psychosocial factors on healthy ageing. [PDF]
Laing R +11 more
europepmc +1 more source
Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan +5 more
wiley +1 more source

