A comparison of deep learning approach for underwater object detection
In recent years, marine ecosystems and fisheries have become potential resources.
Therefore, monitoring these objects will be essential to ensure their existence. One of the …
Therefore, monitoring these objects will be essential to ensure their existence. One of the …
Image classification of amazon parrots by deep learning: A potentially useful tool for wildlife conservation
JI Kim, JW Baek, CB Kim - Biology, 2022 - mdpi.com
Simple Summary Most parrot species are threatened with extinction because of habitat loss
and commercial trade. Parrot conservation is vital because parrots play an important role in …
and commercial trade. Parrot conservation is vital because parrots play an important role in …
Automatic Estuarine Fish Species Classification System Based on Deep Learning Techniques
Fish classification (FC) is crucial in various domains, including fishery management and
ecological research. Traditional FC methods rely mainly on morphological criteria such as …
ecological research. Traditional FC methods rely mainly on morphological criteria such as …
Automated Fish Classification Using Convolutional Neural Networks
MC Teja, GS Jayachandra, RD Shirwaikar… - … on Information and …, 2022 - Springer
Underwater habitats are home to about 34,800 fish species. Understanding the various fish
species and their therapeutic properties is crucial. The majority of bodies of water have a …
species and their therapeutic properties is crucial. The majority of bodies of water have a …
A Deep Artificial Neural Network-Based Daphne Leaf Classification Study
Today, machine learning methods make life easier in almost every field, from production to
consumption, and increase the speed of technology in a dizzying way. By integrating smart …
consumption, and increase the speed of technology in a dizzying way. By integrating smart …