Ship Detection and Classification Using Hybrid Optimization Enabled Deep Learning Approach by Remote Sensing Images-Reference-Cited by-同舟云学术

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Ship Detection and Classification Using Hybrid Optimization Enabled Deep Learning Approach by Remote Sensing Images

Published:2023-01-04 Issue: Volume: Page:1-28
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Iwin Thanakumar Joseph S.¹,Shanthini Pandiaraj N.²,Sarveshwaran Velliangiri³,Mythily M.⁴

Affiliation:

1. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India

2. Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India

3. Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai, India

4. Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2022.2145655

Reference23 articles.

1. Deep Learning-Based Ship Detection in Remote Sensing Imagery Using TensorFlow

2. Political Optimizer: A novel socio-inspired meta-heuristic for global optimization

3. Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images

4. Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions

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