Remora Jaya Optimization-Enabled Deep Quantum Neural Network for Underwater Target Tracking Using Radar Images
Author:
Affiliation:
1. Department of CSE, Sri Krishna College of Engineering and Technology, Coimbatore, India
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Information Systems,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/01969722.2023.2175142
Reference36 articles.
1. Auwera, G., A. Munteanu, and J. Cornelis. 2000. Quincunx wavelet image compression: 2D filter design by transformations of variables and quadtree coding approach. In IEEE Signal Processing Symposium, SPS 2000, Hilvarenbeek.
2. Training deep quantum neural networks
3. Cognitive Radar Framework for Target Detection and Tracking
4. Passive Underwater Target Tracking: Conditionally Minimax Nonlinear Filtering with Bearing-Doppler Observations
5. Diagnosis and Classification of Typhoon-Associated Low-Altitude Turbulence Using HKO-TDWR Radar Observations and Machine Learning
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