The Smart Improving of Translation Models Using Recurrent Neural Networks-Reference-Cited by-同舟云学术

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The Smart Improving of Translation Models Using Recurrent Neural Networks

Published:2024-01-29 Issue: Volume:3387 Page:1-6
ISSN:
Container-title:2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)
language:
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Author:

Singh Anjali¹,Agarwal Mayur²,J Gowrishankar³

Affiliation:

1. Maharishi School of Engineering & Technology, Maharishi University of Information Technology,Uttar Pradesh,India

2. College of Engineering, Teetthanker Mahaveer University,Moradabad,Uttar Pradesh,India

3. Jain(Deemed to be University),Department of Artificial Intelligence,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470485.pdf?arnumber=10470485

Reference17 articles.

1. Optimizing Traffic Flow in Smart Cities: Soft GRU-Based Recurrent Neural Networks for Enhanced Congestion Prediction Using Deep Learning

2. Technology of Ukrainian-English Machine Translation Based on Recursive Neural Network as LSTM;Konyk

3. Calibration of Multi-Robot Cooperative Systems Using Deep Neural Networks

4. Application of Attention Mechanism in Deep Neural Network Architecture for System Failure Prognostics;Behizadi,2023

5. A method to improve the computational performance of nonlinear all—optical diffractive deep neural network model

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