Automated bioacoustics classification has received increasing attention from the research
community in recent years due its cross-disciplinary nature and its diverse application …

Automatic identification of insects from images is gaining interest and popularity day by day.
Several methods and systems were developed to identify insects accurately. Among all the …

Butterflies' recognition serves a crucial role as an environmental indicator and a key factor in
plant pollination. The automation of this recognition process, facilitated by Convolutional …

Insects represent more than half the living organisms on the earth. Among insects' butterflies
are one of the prominent species. A huge number of butterfly species with various wing …

Automated image classification is a thriving field of machine learning, and various
successful applications dealing with biological images have recently emerged. In this work …

Most butterfly larvae are agricultural pests and forest pests, but butterflies have important
ornamental value and the ability to sense and respond to changes in the ecological …

Butterflies have an aesthetic, ecosystem, educational, health, economic, and scientific
values which make them essential to be researched. They are, however, difficult to …

Image classification is a fundamental task in vision recognition that aims to understand and
categorize an image under a specific label. Image classification needs to produce a quick …

Abstract With over 18,000 species, butterflies account for nearly one-quarter of all identified
species on the planet. The images of different butterfly species can be utilized to train Deep …

Butterflies are increasingly becoming model insects where basic questions surrounding the
diversity of their color patterns are being investigated. Some of these color patterns consist …