Deep Learning Techniques For Signal Processing On Spherical Manifolds In Near-Field Applications-Reference-Cited by-同舟云学术

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Deep Learning Techniques For Signal Processing On Spherical Manifolds In Near-Field Applications

Published:2024-04-06 Issue: Volume: Page:631-636
ISSN:
Container-title:2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Mohseni Milad¹,Kapula Prabhakara Rao²,Dutt Amit³,Pravallika B⁴,Rajalakshmi B⁵,Geetha B. T.⁶

Affiliation:

1. Islamic Azad University,Department of computer and engineering,Tabriz,Iran

2. B V Raju Institute of Technology,Department of ECE,Narsapur,Telangana State

3. Lovely Professional University,Phagwara

4. Institute of Aeronautical Engineering,Dundigal, Hyderabad

5. New Horizon College of Engineering,Department of Computer Science,Bangalore

6. Saveetha School of Engineering, SIMATS,Department of ECE,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10545643/10545610/10545986.pdf?arnumber=10545986

Reference19 articles.

1. Diabetic retinopathy: current understanding, mechanisms, and treatment strategies

2. Deep neural networks to predict diabetic retinopathy

3. Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks

4. Stochastic Dilated Residual Ghost Model for Breast Cancer Detection

5. Deep Hybrid Model with Trained Weights for Multimodal Sarcasm Detection

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