Hybrid Quantum-Classical Neural Network for Incident Detection-Reference-Cited by-同舟云学术

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Hybrid Quantum-Classical Neural Network for Incident Detection

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 26th International Conference on Information Fusion (FUSION)
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Author:

Khan Zadid¹,Tine Jean Michel¹,Khan Sakib Mahmud¹,Majumdar Reek¹,Comert Ayse Turhan²,Rice Diamon²,Comert Gurcan²,Michalaka Dimitra³,Mwakalonge Judith⁴,Chowdhury Mashrur⁵

Affiliation:

1. Clemson University,Clemson,USA

2. Benedict College,Columbia,SC

3. The Citadel,Charleston,SC

4. South Carolina State University,Orangeburg,SC

5. Clemson University,Clemson,SC

Funder

Clemson University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223725/10224076/10224090.pdf?arnumber=10224090

Reference24 articles.

1. Fast Automatic Incident Detection on Urban and Rural Freeways Using Wavelet Energy Algorithm

2. Classification of Attack Types for Intrusion Detection Systems Using a Machine Learning Algorithm

3. Quantum Stochastic Neural Network and Sentence Classification;wang;arXiv 2103 03018,2021

4. Real-time Traffic Incident Detection Using an Autoencoder Model

5. Towards universal freeway incident detection algorithms

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantum Neural Networks: A Novel Architecture for Hybrid Quantum-Classical Algorithms;2024-02-14

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