Design of mathematical model for the prediction of rainfall

R Das, J Mishra, S Mishra… - Journal of Interdisciplinary …, 2022 - Taylor & Francis
There are several soft computing methods in use to predict rainfall. Mainly two features were
included to increase rainfall prediction:(1) using data pre-processing procedure and (2) …

Resource basis, ecosystem and growth of grain family farm in China: Based on rough set theory and hierarchical linear model

Y Gao, X Zhang, L Wu, S Yin, J Lu - Agricultural Systems, 2017 - Elsevier
Based on resource-based theory and enterprise ecosystem theory, this paper used the
sample of Huang-huai-hai plain 487 grain family farms, in the basis of attribute reduction by …

Prediction of Heatwave Using Advanced Soft Computing Technique

R Das, J Mishra, PK Pattnaik, MM Bhatti - Information, 2023 - mdpi.com
At present, there is no suitable instrument available to simulate modeling the thermal
performance of various areas of our states due to its complicated meteorological behavior …

Smart Agricultural Decision Support Systems for Predicting Soil Nutrition Value Using IoT and Ridge Regression

MK Sudha, M Manorama, T Aditi - AGRIS on-line Papers in …, 2022 - ageconsearch.umn.edu
Cost effective agricultural crop productivity is an everlasting demand, this predominant
expedition has raised a global shift towards practicing smart agricultural methods to …

Intelligent decision support system based on rough set and fuzzy logic approach for efficacious precipitation forecast

M Sudha - Decision Science Letters, 2017 - m.growingscience.com
Weather forecasting is essential and demanding scientific task of meteorological services
across the world. It is a complex procedure that includes many specific technological field of …

Identifying effective features and classifiers for short term rainfall forecast using rough sets maximum frequency weighted feature reduction technique

S Mohankumar, V Balasubramanian - Journal of computing and …, 2016 - hrcak.srce.hr
Sažetak Precise rainfall forecasting is a common challenge across the globe in
meteorological predictions. As rainfall forecasting involves rather complex dynamic …

Detecting Phishing Websites using Machine Learning Algorithm

M Kathiravan, V Rajasekar, SJ Parvez… - 2023 7th …, 2023 - ieeexplore.ieee.org
In general, malicious websites aid the expansion of online criminal activity and stifle the
growth of web service infrastructure. Therefore, there is a pressing need for a …

Statistical Feature Ranking and Fuzzy Supervised Learning Approach in Modeling Regional Rainfall Prediction Systems

M Sudha, K Subbu - AGRIS on-line Papers in Economics …, 2017 - ageconsearch.umn.edu
Rainfall prediction is an essential and challenging task in hydro-meteorology. Most of the
existing weather dataset used for prediction consists of observatory record of several …

A Comparative Analysis of Rainfall Prediction Using Support Vector Machine and Random Forest

S Dhamodaran, G KipsonRoy, A Kishor… - Journal of …, 2020 - ingentaconnect.com
Classification and prediction of various data have become one of the most interesting area
of research work. Numerous researchers are working on various data samples for predicting …

[PDF][PDF] of retracted article: Cluster Analysis to Assess Groundwater Quality in Erode District

G Oorkavalan, SM Chidambaram - Circuits and Systems, 2017 - scirp.org
Water is a complicated environment system; traditional methods cannot meet the demands
of water environment protection. As the frontrunner of complex nonlinear science and …