Results 61 to 70 of about 11,326 (149)
Earthquake prediction is one of the most challenging and vital tasks that demands new methodologies for improving the accuracy of predictions. The research aims to present how radon gas concentration fluctuations are associated with the prediction of ...
Pratama, Thomas Oka; Universitas Gadjah Mada +6 more
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, 2015 This paper is devoted to discuss Bayes method to estimate the unknown scale parameter of the inverted exponential distribution along with the maximum likelihood method.
Bawi, Suzan Furman, Al-Noor, Nadia H.
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, 2010 The purpose of this thesis is to compare the predictive power of three different GARCH-type volatility forecasting models on recently deregulated Nordic electricity market. The models included are GARCH, TARCH and EGARCH.
Jokinen, Teemu
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Meta analysis performance metrics for neural network models.
, 2023 Meta-analysis of ILI rate forecasts around the peak of a flu season for FF, SRNN, and IRNN. δ-p denotes the temporal difference (in days) in forecasting the peak of the flu seasons 2015/16, 2016/17, 2017/18, and 2018/19, respectively. Negative / positive
Ingemar J. Cox (16892341) +7 more
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Evaluation of the Model for Bitcoin Price Prediction Using Machine Learning Algorithms and Blockchain Technology [PDF]
Blockchain technology can be used to analyze and process data through the effective integration of financial resources. Likewise, machine learning is one of the most notable technologies in recent years.
Mijoska, Mimoza, Ristevski, Blagoj
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Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting [PDF]
This study evaluates the performance of three forecasting models”ARIMA, Prophet, and Glmnet”with the primary objective of equipping the telecommunication industry with effective tools for cellular traffic forecasting.
Yuliana, Hajiar +4 more
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Measures of Model Performance Based On the Log Accuracy Ratio [PDF]
, 2018 Quantitative assessment of modeling and forecasting of continuous quantities uses a variety of approaches. We review existing literature describing metrics for forecast accuracy and bias, concentrating on those based on relative errors and percentage ...
Morley, S. K. +5 more
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Scientific ReportsRecent advancements in automated scoliosis diagnosis using X-ray imaging have focused on detecting spinal curvature through angle measurements, but they often lack systematically standardized clinical terminology schemes. To address these limitations, we
Abdullah Shahid +5 more
doaj +1 more source
Forecasting Inflation in Developing Economies: The Case of Nigeria, 1986-1998 [PDF]
In this article, we have sought to establish whether monetary aggregates have useful information for forecasting inflation, other than that provided by inflation itself. We have approached the problem in two ways.
Adebiyi, M.A., Feridun, M.
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Grindulu fault cloud radon data for earthquake magnitude prediction using machine learning
The study investigates the potential of integrating radon gas concentration telemonitoring systems with machine learning techniques to enhance earthquake magnitude prediction.
Sunarno, Sunarno +3 more
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