Dynamic Weighted Ensemble with a Game Theory Perspective for Ship Classification-Reference-Cited by-同舟云学术

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Dynamic Weighted Ensemble with a Game Theory Perspective for Ship Classification

Published:2024-04-19 Issue: Volume:2017 Page:137-142
ISSN:
Container-title:2024 9th International Conference on Computer and Communication Systems (ICCCS)
language:
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Author:

Salem Mostafa Hamdy¹,Liu Zhaoying¹,Li Yujian²,AbdelTawab Ahmed M.³

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124

2. School of Artificial Intelligence, Guilin University of Electronic Technology,Guilin,China,541004

3. Misr University for Science & Technology MUST,Faculty of Engineering,Giza,Egypt,12566

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602771/10602729/10602818.pdf?arnumber=10602818

Reference24 articles.

1. Ship target classification based on Hu invariant moments and ART for maritime video surveillance

2. Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

3. Xception: Deep Learning with Depthwise Separable Convolutions

4. Generalizing from a Few Examples

5. A Benchmark for Deep Learning Based Object Detection in Maritime Environments

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