output
20062025
most citedPhysics-based model to predict the acoustic detection distance of terrestrial autonomous recording units over the diel cycle and across seasons: insights from an Alpine and a Neotropical forest

56 citations

13 papers

q-bio.PE2025

Science at Risk: The Urgent Need for Institutional Support of Long-Term Ecological and Evolutionary Research in an Era of Data Manipulation and Disinformation

Vincent A. Viblanc, Elise Huchard, Gilles Pinay +15

Planet Earth and the biodiversity it supports are in crisis. Human impact on terrestrial, marine and freshwater ecosystems and the hundreds of thousands of organisms that inhabit t…

cs.SD2025

Acoustic evaluation of a neural network dedicated to the detection of animal vocalisations

Jérémy Rouch, M Ducrettet, S Haupert +2

The accessibility of long-duration recorders, adapted to sometimes demanding field conditions, has enabled the deployment of extensive animal population monitoring campaigns throug…

astro-ph.GA2025★ 4 cited

The MeerKAT Absorption Line Survey (MALS) data release 3: Cold atomic gas associated with the Milky Way

N. Gupta, J. Kerp, S. A. Balashev +15

We present results of a blind search for Galactic HI 21-cm absorption lines toward 19130 radio sources, using 390 pointings of MALS, each pointing centered on a source brighter tha…

q-bio.PE2024★ 9 cited

Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary evolution of kelp populations

Lauric Reynes, Louise Fouqueau, D. Aurelle +3

The impact of climate change on populations will be contingent upon their contemporary adaptive evolution. In this study, we investigated the contemporary evolution of four populat…

cs.CV2024★ 11 cited

Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring

Ouassine Younes, Zahir Jihad, Conruyt Noël +5

Coral reefs are vital ecosystems that are under increasing threat due to local human impacts and climate change. Efficient and accurate monitoring of coral reefs is crucial for the…

cs.LG2023★ 45 cited

Unsupervised classification to improve the quality of a bird song recording dataset

Félix Michaud, Jérôme Sueur, Maxime Le Cesne +1

Open audio databases such as Xeno-Canto are widely used to build datasets to explore bird song repertoire or to train models for automatic bird sound classification by deep learnin…