Comparative analysis of time series forecasting models to predict amount of rainfall in Telangana
India lies in the tropical wet and dry area and gets a huge amount of rainwater in the
monsoon season accounting for most of the yearly rainfall. Predicting the rainfall in these …
monsoon season accounting for most of the yearly rainfall. Predicting the rainfall in these …
An Adaptive Salp-Stochastic-Gradient-Descent-Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall
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 …
day life of Indians. The predominant income source of most of the Indian population is …
Rainfall Prediction using Spatial Convolutional Neural Networks and Recurrent Neural Networks
NDP Lestari, EC Djamal - … Conference on Data Science and Its …, 2022 - ieeexplore.ieee.org
Rainfall is influenced by climate factors such as air temperature, humidity, rainfall, wind
speed, and the Southern Oscillation Index (SOI). Microclimate allows local rain to occur, so it …
speed, and the Southern Oscillation Index (SOI). Microclimate allows local rain to occur, so it …
A Systematic Review of Deep Learning Applications in Interpolation and Extrapolation of Precipitation Data
With technological enhancements, the volume, velocity, and variety (3Vs) of the raw digital
Earth data have increased in recent years. Due to the increased availability of computer …
Earth data have increased in recent years. Due to the increased availability of computer …
An innovative method for improving rainfall prediction in Gujarat state through a fusion model DWT, 1DCNN and LSTM
In countries like India where agriculture is a major industry, accurate prediction of rainfall is
crucial. The ability to forecast rainfall helps in planning crop cultivation and has a positive …
crucial. The ability to forecast rainfall helps in planning crop cultivation and has a positive …
A Mixture-of-experts Approach to Production Capacity Planning for Diverse Demand Patterns via Deep Reinforcement Learning
T Danket, S Tanachutiwat… - Engineering Access, 2024 - ph02.tci-thaijo.org
Ensemble Learning is gaining traction in Reinforcement Learning (RL) due to its ability to
improve performance, robustness, and capabilities of RL models. This paper addresses the …
improve performance, robustness, and capabilities of RL models. This paper addresses the …
A Heuristic Network for Electricity Demand Projection
Indonesia's electricity demand in 2025 has been projected by the 2016 Indonesia Energy
Outlook (OEI) of 513 TWh based on data obtained during the 2000–2015 period. This study …
Outlook (OEI) of 513 TWh based on data obtained during the 2000–2015 period. This study …
Comparative analysis of time-series models vs ML tools for yearly average Indian rainfall forecasting
V Maniyal, TP Sharma - 2023 - IET
Rainfall forecasting plays a critical role in various aspects of human life such as in water
management, disaster pre-paredness, and disaster management. Its impact on agriculture …
management, disaster pre-paredness, and disaster management. Its impact on agriculture …
Artificial intelligence is used in a smart city to understand the emotional pulse of its residents
M Praveena, K Sirisha, GS Prasad - Mathematical Statistician and …, 2020 - philstat.org
India, which is in the tropical wet and dry area, receives a huge amount of precipitation each
year, with the monsoon season being the main contributor. The environment resulting …
year, with the monsoon season being the main contributor. The environment resulting …
[引用][C] BIOSIGNALS BASED SMOKING STATUS PREDICTION USING STANDARD AUTOENCODER AND ARTIFICIAL NEURAL NETWORK
N Palanivel, S Deivanai… - … of Computing and …, 2024 - University of Bahrain