Digital twins (DTs) are becoming increasingly popular in various industries, and their
potential for healthcare in the metaverse continues to attract attention. The metaverse is a …

As a special type of transformer, vision transformers (ViTs) can be used for various computer
vision (CV) applications. Convolutional neural networks (CNNs) have several potential …

Perovskite solar cells (PSCs) have revolutionized photovoltaic research. As a result, a
certified power conversion efficiency (PCE) of 25.5% was recorded in late 2020. Although …

Conservation of biodiversity is critical for the coexistence of humans and the sustenance of
other living organisms within the ecosystem. Identification and prioritization of specific …

Biometric identification techniques such as photo-identification require an array of unique
natural markings to identify individuals. From 1975 to present, Bigg's killer whales have …

Recently, automatic wild animal detection methods using deep learning for taken images by
camera traps have been reported. Energy consumption is important for edge devices that …

Sheep management and production enhancement are difficult for farmers due to the lack of
dynamic response and poor welfare of the sheep. Poor welfare needs to be mitigated, and …

This project aims to assess and improve the detection of animal collisions in real-world
situations. Materials and Methods: To forecast animal collision detection in real time and …

Novel coronavirus (COVID-19) is a hazardous virus. Initially, detected in China and spread
worldwide, causing several deaths. Over time, there have been several variants of COVID …

Even nowadays, people have only a very limited understanding about animal
communication. Scientists are still far from identifying statistically relevant, animal-specific …