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In this article, image classification is performed on a dataset of various butterfly species, facilitated via the feature extraction process of the ...
... Growing Convolutional Neural Network. (GCNN), resulting in higher accuracy of the classification model. The experiment performed resulted in promising outcomes ...
In this article, image classification is performed on a dataset of various butterfly species, facilitated via the feature extraction process of the ...
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Apr 25, 2024 · Jude Hemanth: Efficient Approach for Rhopalocera Classification Using Growing Convolutional Neural Network. ... Coauthor network. maximize.
This new approach consists of the recognition of evolutionary relationships based on a neural network trained by patterns. This idea is contrary to the other ...
Iqbaldeep Kaur's 19 research works with 621 citations, including: Efficient Approach for Rhopalocera Classification Using Growing Convolutional Neural Network.
Feb 1, 2020 · A two-stage method for the detection and identification of small insects based on CNN, where YOLOv4 and EfficientNet were used as a region ...
We propose a technique for making Convolutional Neural Network (CNN)-based models more transparent by visualizing the regions of ...
Efficient Approach for Rhopalocera Classification Using Growing Convolutional Neural Network · Computer Science, Biology. Int. J. Uncertain. Fuzziness Knowl.
The purpose of this review paper is to portray a summary of various proposed methods of butterfly species identification as well as classification strategies
Missing: Growing | Show results with:Growing