As human activities in natural areas increase, understanding human–wildlife interactions is
crucial. Big data approaches, like large‐scale camera trap studies, are becoming more …

Cameras are increasingly used by ecologists to study species distribution and interactions.
They are mainly used to study large animals such as mammals but can also be used to …

Wildlife camera trap images are being used extensively to investigate animal abundance,
habitat associations, and behavior, which is complicated by the fact that experts must first …

In this paper, we comprehensively report on an efficient approach for the integration of
artificial intelligence (AI) processing pipelines in camera traps for smart on-site wildlife …

In ecological studies, machine learning models are increasingly being used for the
automatic processing of camera trap images. Although this automation facilitates and …

The latest advances in artificial intelligence technology have opened doors to the video
analysis of complex behaviours. In light of this, ethologists are actively exploring the …

Camera‐traps are valuable tools for estimating wildlife population density, and recently
developed models enable density estimation without the need for individual recognition …

Mountain hare is a cold‐adapted species threatened by climate change, but despite its
emblematic nature, our understanding of the causes of population decline remains limited …

Coastal ecosystems of the Mediterranean Sea are among the richest in non‐indigenous
species, mostly due to the establishment of species coming from the Red Sea through the …

The random encounter model (REM) is a camera trap** method to estimate population
density (ie number of individuals per unit area) without the need for individual recognition …