Performing Hybrid Predictions of Time Series in Head Based Aggregation Clusters-Reference-Cited by-同舟云学术

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Performing Hybrid Predictions of Time Series in Head Based Aggregation Clusters

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

Vishnoi Rahul¹,Bhuvana J²,Abrol Monika³

Affiliation:

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

2. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

3. Sanskriti University,Department of Applied Science,Mathura,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470584.pdf?arnumber=10470584

Reference15 articles.

1. Time series clustering-enabled geological condition perception in tunnel boring machine excavation

2. Accurate Prediction of Workloads and Resources With Multi-Head Attention and Hybrid LSTM for Cloud Data Centers

3. Multivariate Time Series Anomaly Detection with Improved Encoder-Decoder Based Model

4. AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study

5. Time series clustering for TBM performance investigation using spatio-temporal complex networks

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