Objective. With climatic instability, various ecological disturbances, and human actions
threaten the existence of various endangered wildlife species. Therefore, an up-to-date …

Understanding animals' behaviors is significant for a wide range of applications. However,
existing animal behavior datasets have limitations in multiple aspects, including limited …

In the last decade, researchers have focused more on deep convolutional neural networks
(CNNs) than other machine learning algorithms for object detection, localization …

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 …

Unsustainable trade in wildlife is one of the major threats affecting the global biodiversity
crisis. An important part of the trade now occurs on digital marketplaces and social media …

Objective. With climatic instability, various ecological disturbances, and human actions
threaten the existence of various endangered wildlife species. Therefore, up-to-date …

A prominent conflict observed between growing masses and wildlife in India. Few of the
major consequences are: Injury, loss of life, damage to human property, crop damage …

Mammals play an important role in conserving species diversity and maintaining ecological
balance, so research on mammal species composition, individual identification, and …

Computer vision has found many applications in automatic wildlife data analytics and
biodiversity monitoring. Automating tasks like animal recognition or animal detection usually …

Vehicle-camel collision is a persistent issue in countries where population of camels is high
such as Saudi Arabia. The purpose of the research is to introduce a new solution to …