In the era of big data, ecological research is experiencing a transformative shift, yet big-data
advancements in thermal ecology and the study of animal responses to climate conditions …

We describe the development and application of a new convolutional neural network-based
photo-identification algorithm for individual humpback whales (Megaptera novaeangliae) …

Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to
enhance our understanding of animal behaviour and conservation strategies. Using …

Behavioural thermoregulation has critical ecological and physiological consequences that
profoundly influence individual fitness and species distributions, particularly in the context of …

We propose a method for Saimaa ringed seal re-identification. Access to large image
volumes through camera trapping and crowdsourcing provides novel possibilities for animal …

Photo identification is an important tool in the conservation management of endangered
species, and recent developments in artificial intelligence are revolutionizing existing …

Animal affective computing is a quickly growing field of research, where only recently first
efforts to go beyond animal tracking into recognizing their internal states, such as pain and …

The field of animal affective computing is rapidly emerging, and analysis of facial
expressions is a crucial aspect. One of the most significant challenges that researchers in …

Animal re‐identification remains a challenging problem due to the cost of tagging systems
and the difficulty of permanently attaching a physical marker to some animals, such as sea …

The manual processing and analysis of videos from camera traps is time-consuming and
includes several steps, ranging from the filtering of falsely triggered footage to identifying …