MapReduce and optimized deep network for rainfall prediction in agriculture

A JP - The Computer Journal, 2020 - academic.oup.com
Rainfall prediction is the active area of research as it enables the farmers to move with the
effective decision-making regarding agriculture in both cultivation and irrigation. The existing …

Weather prediction using multi linear regression algorithm

N Anusha, MS Chaithanya… - IOP Conference Series …, 2019 - iopscience.iop.org
Weather forecasting is one of the applications of science and technology, used to predict the
weather condition depending on the input attributes. Most of the existing systems are …

An Adaptive Salp-Stochastic-Gradient-Descent-Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall

SO Manoj, A Kumar, AK Dubey, JP Ananth - 2024 - reunir.unir.net
Rainfall prediction is considered to be an esteemed research area that impacts the day-to-
day life of Indians. The predominant income source of most of the Indian population is …

Annual Rainfall Prediction of Maharashtra State Using Multiple Regression

LS Salvi, A Jadhav - … Computing and Networking: Proceedings of IC-ICN …, 2023 - Springer
This paper presents a study of Indian rainfall and prediction of the annual rainfall in the state
of Maharashtra and Konkan. The decreasing trends in seasonal rainfall and post-monsoon …

A modified BPN approach for stock market prediction

F Mithani, S Machchhar… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Predicting stock market accurately has always fascinated the market analysts. During the
previous few decades assorted machine learning techniques (Regression, RBFN, SOM, BN …

[PDF][PDF] A multi-model ensemble tool for predicting districts level monsoon rainfall and extreme rainfall events over India

MT Bushair, DR Pattanaik, M Mohapatra - MAUSAM, 2023 - researchgate.net
The southwest (SW) monsoon season from June to September (JJAS) is the major rainfall
period over most parts of Indian regions. Accurate rainfall forecast is one of the most crucial …

Rainfall Prediction Using Logistic Regression and Support Vector Regression Algorithms

MM Sanadi - Advances in Computing and Data Sciences: 5th …, 2021 - Springer
Rainfall Prediction is the use of science and innovation to anticipate the condition of the
climate for a given area. Expectation of rainfall is perhaps the most fundamental and …

Flood and Heat Wave Prediction using Weighted Moving Average, Anomaly Detection and K-Nearest Neighbours for the City Of Mangalore

CS Bangera, PS Kotian, C Dias… - 2018 IEEE Distributed …, 2018 - ieeexplore.ieee.org
Natural calamity is a naturally occurring event in nature that usually is out of the control of
human beings. Little to nothing can be done to avoid it. Natural disasters cause damage to …

Similarity-based multi-model ensemble approach for 1–15-day advance prediction of monsoon rainfall over India

N Jaiswal, CM Kishtawal, S Bhomia - Theoretical and applied climatology, 2018 - Springer
The southwest (SW) monsoon season (June, July, August and September) is the major
period of rainfall over the Indian region. The present study focuses on the development of a …

Analysis of NMME system in simulating Indian summer monsoon rainfall

SS Puranik, MA Kulkarni, J Singh - Theoretical and Applied Climatology, 2019 - Springer
Prediction of the Indian summer monsoon rainfall is essential for the country because the
food production depends on the rainfall during the summer monsoon season. India being an …