Profiles
Research Units
Publications
Sign Up
Faculty Login
X
Proceedings Article
Analysis of global warming in India over maximum temperature using Pearson and machine learning
Chandra Segar T
,
C suprabath raju
,
Gajavelli saikrishna
,
Senthilkumar M
Published in IEEE
2017
DOI:
10.1109/icoei.2017.8300977
Volume: 2018-January
Pages: 496 - 499
Abstract
This paper is to predict the real-time data of aggregated maximum temperature (1.2 m above sea level) data from more than 350 stations spread over the country resulting in global warming. The time series we have taken from the year 1970 to 2011 shows a global warming over India during the recent years, with 5 attributes. © 2017 IEEE.
Request full-text
Cite
Content may be subject to copyright.
Figures & Tables (6)
References (41)
Journal Details
Authors (2)
About the journal
Journal
Data powered by Typeset
2017 International Conference on Trends in Electronics and Informatics (ICEI)
Publisher
Data powered by Typeset
IEEE
Open Access
0
Authors (2)
Chandra Segar T
Department of Digital Communications
School of Information Technology and Engineering
Vellore Campus
Recent publications
Physicians medicament using linear public key crypto system
Pell's RSA key generation and its security analysis
An assessment framework for Precipitation decision making using AHP
An assessment framework of intuitionistic fuzzy network for C2B decision making
Senthilkumar M
Department of Software and Systems Engineering
School of Information Technology and Engineering
Vellore Campus
Recent publications
High-Temperature Electrical Transport Property of Misfit Cobaltite of Ca
3-x
Nd
x
Co
4-x
Cu
x
O
9
(x = 0.0 – 0.4)
Physicians medicament using linear public key crypto system
An assessment framework of intuitionistic fuzzy network for C2B decision making
One-Dimension Force Balance System for Hypersonic Vehicle an experimental and Fuzzy Prediction Approach
Get all the updates for this publication
Follow