Ensemble learning using fast rule based fuzzy K –means pre clustering and classification for aquatic behavior-extracted tsunami prediction-Reference-Cited by-同舟云学术

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Ensemble learning using fast rule based fuzzy K –means pre clustering and classification for aquatic behavior-extracted tsunami prediction

Published:2019-02-17 Issue:2 Volume:40 Page:441-453
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Jain Nikita¹²,Virmani Deepali³

Affiliation:

1. University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Dwarka, Sector 16-C, Delhi 110078, India

2. Bharati Vidyapeeth’s College of Engineering, Paschim Vihar, New Delhi 110063, India

3. Department of Computer Science and Engineering, Bhagwan Parshuram Institute of Technology, Rohini, Sector-17, New Delhi 110089, India,

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2019.1580884

Reference21 articles.

1. Oman Field Survey after the December 2004 Indian Ocean Tsunami

2. Impact of Near-Field, Deep-Ocean Tsunami Observations on Forecasting the 7 December 2012 Japanese Tsunami

3. Bow shock and magnetopause contributions to the magnetospheric current system: Hints from the Cluster observations

4. Tang L. et al. In preparation. Currents in harbors, bays and channels in Hawaii of the Japan Tsunami and implications for forecasting (2011).

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2. FLIDND-MCN: Fake label images detection of natural disasters with multi model convolutional neural network;Journal of Intelligent & Fuzzy Systems;2022-11-11

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4. Research on Intelligent Evaluation of English Diagnosis System Based on Fuzzy K-means Clustering;2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS);2021-12-10

5. Did They Sense it Coming? A Pipelined Approach for Tsunami Prediction Based on Aquatic Behavior Using Ensemble Clustering and Fuzzy Rule-Based Classification;IEEE Access;2020

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