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199 articles for “Prediction Models”
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Research ArticleOpen accessPhrase in the titleRainfall Attenuation and Rainfall Rate Measurements in Malaysia Comparison with Prediction ModelsMandeep Singh Jit Singh, Syed Idris Syed Hassan, Mohd Fadzil AinAttenuation due to rain is a primary cause of communication impairment on satellite-earth paths, especially above 10GHz. Rainfall is a serious source of attenuation at such a frequency. This paper presents the characteristics of rain distribution in USM based on measured one minute rain rate. For attenuation of rain, predictions models like ITU and VIHT (Variable Isotherm Height Technique) model … …American Journal of Applied Sciences, Vol. 4, Issue 1 · 30 Apr 2007 · 6,938 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,939 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time SeriesSaugat Aryal, Dheynoshan Nadarajah, Prabath Lakmal Rupasinghe et al.Financial time series prediction has been a key topic of interest among researchers considering the complexity of the domain and also due to its significant impact on a wide range of applications. In contrast to one-step ahead prediction, multi-step forecasting is more desirable in the industry but the task is more challenging. In recent days, advancement in deep learning has … …Journal of Computer Science, Vol. 16, Issue 10 · 27 Oct 2020 · 6,967 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Artificial Neural Network Point Forecasting Models and Prediction Intervals for Solar Irradiance EstimationAntônio Fabrício Guimarães de Sousa, Helaine Cristina Moraes Furtado, Wilson Negrão Macêdo, Anderson Alvarenga de Moura MenesesAn accurate knowledge on solar irradiance prediction is particularly required for proper development and planning of Photovoltaic (PV) energy systems. The main purpose of the present research is to assess the accuracy of Artificial Neural Networks (ANN) short-term forecast of univariate solar irradiance time series, with conventional point prediction and Prediction Intervals (PIs), comparing models. The Lower Upper Bound Estimation … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 17 Jul 2020 · 7,440 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrediction of Covid-19 Outbreak in India by Employing Epidemiological ModelsSudheer Reddy K, Anji Reddy V, Mamatha K, Santhosh Kumar CThe novel Corona virus (Covid-19) pandemic has frightened an unprecedented challenge to continents. The Covid-19 pandemic is a highly contagious viral disease that has been progressing across the globe. The global thought leaders, doctors, scientists and other intellects have enforced the lockdown to reduce the spread of the pandemic. The objective is to study the impact of lockdown and to … …Journal of Computer Science, Vol. 16, Issue 7 · 10 Jul 2020 · 6,903 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak PredictionNor Azura Husin, Norwati Mustapha, Md. Nasir Sulaiman et al.Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. Some of the deficiencies in dengue epidemiology are insufficient awareness on the parameter as well as the combination among … …Journal of Computer Science, Vol. 12, Issue 6 · 2 Jul 2016 · 8,162 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrediction of the Daily Mean PM10 Concentrations Using Linear ModelsJ. C.M. Pires, F. G. Martins, S. I.V. Sousa et al.The performance of five linear models to predict the daily mean PM10 concentrations was compared. The linear models proposed were: (i) multiple linear regression; (ii) principal component regression; (iii) independent component regression; (iv) quantile regression; and (v) partial least squares regression. The study was based on data from an urban site in Oporto Metropolitan Area and the analysed period was … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,132 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical ModelsAbdelkrim Moussaoui, Yacine Selaimia, Hadj A. AbbassiThe authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 7,135 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCombining Q-Learning and Multi-Layer Perceptron Models on Wireless Channel Quality PredictionAndrea L. Piroddi, Maurizio TorregianiOne of the most complex challenges that wireless communication systems will face in the coming years is the management of the radio resource. In the next years, the growth of mobile devices, forecast (CISCO, 2020), will lead to the coexistence of about 8.8 billion mobile devices with a growing trend for the following years. This scenario makes the reuse of … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 1 · 10 Mar 2021 · 6,761 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrediction and Analysis of COVID-19 Cases using Regression Models: A Descriptive Case Study of IndiaIsmail KeshtaThe Coronavirus(SARS-CoV-2) is a respiratory illness that emerged in Wuhan, China, on December31, 2019, according to reports by the World Health Organization (WHO). Hospitalrecords in India indicate that COVID-19 hospitalizations in the second wave ofCOVID-19 more than doubled those in the first wave. Limited studies have beenconducted to establish the extent to which the second wave of COVID-19increased the infection … …Journal of Computer Science, Vol. 18, Issue 10 · 12 Oct 2022 · 6,156 accessesView PDFCite