Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model
The study of climatic variables that govern the Indian summer monsoon has been widely
explored. In this work, we use a non-linear deep learning-based feature reduction scheme …
explored. In this work, we use a non-linear deep learning-based feature reduction scheme …
Deep learning for predicting the monsoon over the homogeneous regions of India
Indian monsoon varies in its nature over the geographical regions. Predicting the rainfall not
just at the national level, but at the regional level is an important task. In this article, we used …
just at the national level, but at the regional level is an important task. In this article, we used …
On to the next chapter for crop breeding: Convergence with data science
Crop breeding is as ancient as the invention of cultivation. In essence, the objective of crop
breeding is to improve plant fitness under human cultivation conditions, making crops more …
breeding is to improve plant fitness under human cultivation conditions, making crops more …
[PDF][PDF] Daily temperature prediction using recurrent neural networks and long-short term memory
Temperature is one of the parameters that need to be considered because it is related to
daily activities. Besides, the temperature is influenced by other parameters such as humidity …
daily activities. Besides, the temperature is influenced by other parameters such as humidity …
Forecasting monthly rainfall using bio-inspired artificial algae deep learning network
Rainfall forecasting is the most critical and challenging task because of its dependence on
different climatic and weather parameters. Hence, robust and accurate rainfall forecasting …
different climatic and weather parameters. Hence, robust and accurate rainfall forecasting …
Scope and Status of Artificial Neural Network based prediction models in Meteorology: From Backpropagation to Recurrent Networks
Artificial Neural Networks (ANNs) have, since two decades, emerged as a powerful model
for forecasting. Owing to its large scale success, the backpropagation model quickly …
for forecasting. Owing to its large scale success, the backpropagation model quickly …
Analysis of shift in Indian monsoon and prediction of accumulated cyclone energy in Indian subcontinent using deep learning
S Manoj, C Valliyammai - Automatika: časopis za automatiku, mjerenje …, 2023 - hrcak.srce.hr
Sažetak Every year India faces many cyclones and erratic monsoon seasons are common in
recent times. Cyclones destroy the infrastructure and lead to loss of life and damage …
recent times. Cyclones destroy the infrastructure and lead to loss of life and damage …
[PDF][PDF] Improving monthly rainfall forecast model by input selection technique using deep neural network
Long term monthly rainfall forecasting is essential for appropriate river basin planning and
management. A number of rainfalls forecast models are developed using a variety of …
management. A number of rainfalls forecast models are developed using a variety of …
Identification of Indian monsoon predictors using climate network and density-based spatial clustering
The Indian summer monsoon is a complex climatic phenomenon with a large variability over
the years. The climatic predictors affecting the phenomenon evolve with time, and …
the years. The climatic predictors affecting the phenomenon evolve with time, and …
Wind Speed Forecasting toward El Nino Factors Using Recurrent Neural Networks
Wind speed prediction is needed in various sectors, such as in industry. However, the
weather conditions change all the time, so it is not easy to predict. The wind that blows is …
weather conditions change all the time, so it is not easy to predict. The wind that blows is …