forecasting and prediction
Development of temporal modelling for forecasting and prediction of malaria infections using time series and ARIMAX analyses: A case study in endemic districts of Bhutan
... elimination. Forecasting malaria enables suitable allocation of resources and forestalls outbreaks and ...a forecasting model based on the time series ...a prediction model incorporating climatic ...
9
Precipitation forecasting by a mesoscale numerical weather prediction (NWP) model: eight years of experience
... The focus of RAPHAEL was to demonstrate the use of a one-way coupled system of atmospheric and hydrological models for flood forecasting. An important aspect was the indirect verification of the precipitation ...
21
Forecasting Word Model: Twitter based Influenza Surveillance and Prediction
... using forecasting words that appear in Twitter usage before main epidemics ...and forecasting model designed to predict the number of influenza ...future prediction, and correlation ratio ...enables ...
11
Tracking the uncertainty in streamflow prediction through a hydrological forecasting system
... the forecasting system, instead of computing the uncertainties generated by individual model components, their approach focused on the analysis of the statistical properties of the discharge forecast ...
74
Application of quantitative precipitation forecasting and precipitation ensemble prediction for hydrological forecasting
... flood forecasting precision, due to the uncertainty of the input to the hydrological ...Precipitation prediction gives better hydrological forecast information, better satisfying the need for risk ...
6
Flood forecasting using medium range probabilistic weather prediction
... weather forecasting over the last decade, operational flood forecasting also appears to show a shift from a so-called single solution or best guess deterministic approach towards a probabilistic approach ...
16
Seismic Data Forecasting: A Sequence Prediction or a Sequence Recognition Task
... earthquake forecasting, which are under ...Earthquake prediction may also incorporate time series analysis [4], ...Earthquake prediction, from this point of view, may be classified into a ...
6
Weather Radar image Based Forecasting using Joint Series Prediction
... times, forecasting was mostly based on weather pattern ...rainfall forecasting. Present rainfall forecasting embodies a combination of computer models, interpretation, and an acquaintance of weather ...
57
Forecasting and Prediction of Class of Water Quality in River Mahanadi, Odisha
... The monitoring station at Cuttack D/s on Kathojodi, a distributary of Mahanadi, is characterized by an untreated domestic waste water discharge outfall at its upstream and expectedly, t[r] ...
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EMPLOYABILITY OF INTERNET OF THINGS IN BUSINESS FEASIBILITY FORECASTING, AND PREDICTION ANALYSIS
... An exploratory factor analysis was deployed to analyse whether unobserved factors are underlying the “blocks” (technical aspect, business strategy, cost structure, selec[r] ...
6
Advanced Weather Forecasting Prediction using Deep Learning
... weather forecasting model, used the recurrent neural network with LSTM algorithm essentially intends to gather data that is weather parameters, like temperature, humidity, pressure, dew point, wind speed, ...
7
Skill of a global forecasting system in seasonal ensemble streamflow prediction
... for forecasting high flows at longer lead times during the first half of the ...for forecasting low flows is significantly low at longer lead times, and high at a lead time of 1 ...
12
AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... weather prediction uses complex mathematical models and run them on powerful computers to forecast weather ...weather prediction models have proliferated and can be classified into regional and global ...
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To Predict Rain Fall in Desert Area of Rajasthan Using Data Mining Techniques
... Weather forecasting has always been one of the most challenging problems in the desert areas of ...various forecasting methods available for the prediction of rainfall and among these methods data ...
7
FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING
... Weather forecasting is a challenging time series forecasting problem because of its dynamic, continuous, data-intensive, chaotic and irregular ...series forecasting techniques exist and are widely ...
13
A New Approach for Rainfall Prediction using Artificial Neural Network
... Mostly, farmers are depending on the monsoon for fertilizing their crop, it is requirement for predicting the rainfall to be having advanced knowledge of actual rainfall. In India, most of the states are facing the ...
12
Weather Prediction with Datamining Techniques
... model for the meteorological data was developed and this was used to train the classifier algorithms. The performances of these algorithms were compared using standard performance metrics, and the algorithm which gave ...
8
A Particle Swarm Optimization based Machine Learning Approach for Wave Height Prediction
... the prediction problem of the height of significant waves was solved using wave parameters such as wave spectral ...height prediction helps both wave power converters and onboard navigation ...for ...
12
Predicting the Rainfall of Ghana using the Grey Prediction Model GM(1,1) and the Grey Verhulst Model
... and forecasting are key components resolved to understudy these phenomena with several development interventions to mitigate the negative impact on the society and ...Grey Prediction Model GM (1,1) and the ...
10
Application in Power Load Forecasting Based on an Improved Combination Grey Model Weighted by Correlation
... grey prediction model proposed in above, the combined and improved grey forecasting model was ...higher prediction accuracy, a less error and a greater grey correlation degree than each of the single ...
6