Recent studies have argued that changes in fire regimes in the 21st century are posing a
major threat to global biodiversity. In this scenario, incorporating species' physiological …

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

This paper proposes a new meta-heuristic called Jumping Spider Optimization Algorithm
(JSOA), inspired by Arachnida Salticidae hunting habits. The proposed algorithm mimics the …

Gait analysis in cats and other animals is generally performed with custom-made or
commercially developed software to track reflective markers placed on bony landmarks. This …

The study of animal behavior relies largely on direct observation of animals, either in their
natural environment or in the laboratory. While this is one of the appeals of the field, such …

When confronted with novel problems, problem-solvers must decide whether to copy a
modeled solution or to explore their own unique solutions. While past work has established …

Studying the detailed biomechanics of flying animals requires accurate three‐dimensional
coordinates for key anatomical landmarks. Traditionally, this relies on manually digitizing …

Motion and camouflage were previously considered to be mutually exclusive, as sudden
movements can be easily detected. Background matching, for instance, is a well-known …

A basic feature of animals is the capability to move and disperse. Arachnids are one of the
oldest lineages of terrestrial animals and characterized by an octopodal locomotor …

Biologically inspired jumping robots exhibit exceptional movement capabilities and can
quickly overcome obstacles. However, the stability and accuracy of jumping movements are …