Results 51 to 60 of about 3,085 (183)
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
Annotating and proofreading data sets of complex natural behaviors such as vocalizations are tedious tasks because instances of a given behavior need to be correctly segmented from background noise and must be classified with minimal false positive error
Corinna Lorenz +6 more
doaj +1 more source
ABSTRACT Developmental psychology continues to shape how adults engage with children about death and dying. This influences whether children are included in rituals surrounding human and other‐than‐human bodies. Figurations of the innocent, immature and vulnerable child still dominate adult imaginaries of young children's understandings of mortality ...
Karin Murris +2 more
wiley +1 more source
Structural-functional characteristics of two song types in Phylloscopus humei (Phylloscopidae)
Several songbird species use two singing modes, which are functionally different. The first mode is preferentially used at the beginning of the breeding cycle, and serves to attract females, while the second mode is used later in the season as well as ...
Svetlana G. Meshcheryagina +1 more
doaj +1 more source
Multi-Scale Deep Feature Fusion with Machine Learning Classifier for Birdsong Classification
Birds are significant bioindicators in the assessment of habitat biodiversity, ecological impacts and ecosystem health. Against the backdrop of easier bird vocalization data acquisition, and with deep learning and machine learning technologies as the ...
Wei Li +6 more
doaj +1 more source
ABSTRACT Data on recreational fisheries are often limited, and scientists increasingly use digital platforms to collect information otherwise difficult to obtain. Using telephone‐diary survey data, this study examines angling‐related media use (face‐to‐face communication, angling magazines, TV or radio, YouTube, messenger services, social media, other ...
Wolf‐Christian Lewin +2 more
wiley +1 more source
Processes underlying complex patterns of song trait evolution in a Setophaga hybrid zone
During secondary contact between two species when hybrids are less fit than parents, mating signals are expected to diverge, while aggressive signals are expected to converge.
Jay Love, Franz Goller
doaj +1 more source
ABSTRACT Regressive transfer has been a subject that has not been extensively researched in the field of third language acquisition. This study aims to examine the extent to which a highly advanced knowledge of a third language (L3) affects the first language (L1) and the second language (L2) of early bilinguals in light of the Differential Stability ...
Maddi Alkain Arizmendi +2 more
wiley +1 more source
ABSTRACT This study investigates how the learner‐related factors of language dominance, encompassing language history, proficiency, use, and attitude, modulate congruency effects in multi‐word unit (MWU) processing among early bilinguals. Seventy Cantonese–Putonghua bilinguals completed lexical decision tasks measuring reaction time and accuracy for ...
Mingjia Cai, Yuan Liang
wiley +1 more source
Birdsong classification plays a crucial role in monitoring species distribution, population structure, and environmental changes. Existing methods typically use supervised learning to extract specific features for classification, but this may limit the ...
Ziyi Wang +4 more
doaj +1 more source

