The Impact of Advanced Neural Network Architectures for Extracting Elusive Information-Reference-Cited by-同舟云学术

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The Impact of Advanced Neural Network Architectures for Extracting Elusive Information

Published:2023-12-29 Issue: Volume:8 Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Kachhoria Renu¹,Mittal Love²,Divakaran Prakash³,Singh Vinay⁴,Thangarasu N.⁵,Rajarajeswari S.⁶

Affiliation:

1. Vishwakarma Institute of Information Technology,Department of Artificial Intelligence & Data Science,Pune,INDIA

2. Mangalayatan University,Department of Computer Science,Aligarh,India

3. Himalayan University,Department of Bussiness & Management,Itanagar,India

4. Usha Martin University,Department of Coputing & Information Technology,Ranchi,India

5. Karpagam Academy of Higher Education,Department of Computer Science,Coimbatore

6. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Science and Humanities,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442870.pdf?arnumber=10442870

Reference17 articles.

1. Deep neural network analysis models for complex random telegraph signals

2. Using a dual-stream attention neural network to characterize mild cognitive impairment based on retinal images

3. What do deep neural networks find in disordered structures of glasses?

4. Understanding structure-guided variant effect predictions using 3D convolutional neural networks

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