MultiFlow: Leveraging Combined Time Series Algorithms for Accurate Traffic Forecasting-Reference-Cited by-同舟云学术

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MultiFlow: Leveraging Combined Time Series Algorithms for Accurate Traffic Forecasting

Published:2023-12-01 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon)
language:
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Author:

Naik Archana¹,P Ushashree²,N Disha¹,Reddy Hrushika¹,Dheemanth M¹,Kirthan Shaun¹,Sooda Kavitha³

Affiliation:

1. Nitte Meenakshi Institute of Technology,Department of Computer Science and Engineering,Bangalore,India

2. Geethanjali College of Engineering and Technology,Department of Computer Science and Engineering,Hydrabad,India

3. BMS College of Engineering,Department of Computer Science and Engineering,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10395909/10396851/10396967.pdf?arnumber=10396967

Reference14 articles.

1. A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges;Shahraki,2021

2. Website Traffic Forecasting Using Deep Learning Techniques

3. Web Traffic Time Series Forecasting Using LSTM Neural Networks with Distributed Asynchronous Training

4. Web Traffic Time Series Forecasting using ARIMA and LSTM RNN

5. Prediction Analysis on Web Traffic Data Using Time Series Modeling, RNN and Ensembling Techniques

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