A novel fuzzy based deep neural network for rain fall prediction using cloud images-Reference-Cited by-同舟云学术

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A novel fuzzy based deep neural network for rain fall prediction using cloud images

Published:2022-10-18 Issue:1 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Manoj Stanislaus Oswalt¹^ORCID,Harshavardhanan Pon²^ORCID,Victor Akila³^ORCID,Arumugam Sajeev Ram⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore Tamil Nadu India

2. School of Computing Science & Engineering VIT Bhopal University Bhopal‐Indore Highway, Kothrikalan, Sehore Madhya Pradesh India

3. School of Computer Science and Engineering Vellore Institute of Technology Vellore Tamil Nadu India

4. Department of Artificial Intelligence and Data Science Sri Krishna College of Engineering and Technology Coimbatore Tamil Nadu India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7412

Reference32 articles.

1. ThirumalaiC Sri HarshaK Lakshmi DeepakM ChaitanyaKrishna K..Heuristic prediction of rainfall using machine learning techniques. Proceedings of the 2017 International Conference on Trends in Electronics and Informatics (ICEI); 2017:1114‐1117; IEEE.

2. KothawaleDR SeasonalRM.Annual rainfall time series for all‐India homogeneous regions. Meteorological Subdivisions;2017:1871‐2016.

3. An automated decision support system for aided assessment of variogram models

4. A novel approach for rainfall-runoff modelling using a biogeography-based optimization technique

5. MapReduce and Optimized Deep Network for Rainfall Prediction in Agriculture

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1. Precipitation forecasting: from geophysical aspects to machine learning applications;Frontiers in Climate;2023-10-19

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