Results 31 to 40 of about 12,226 (126)
Rice is a strategic food commodity in Indonesia, and its price fluctuations significantly impact inflation, economic stability, and poverty levels. Accurate price prediction is, therefore, essential for effective policymaking.
Muhammad Iqbal +2 more
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The article discusses the incidence forecast on the example of respiratory diseases in children in Nizhny Novgorod. The study used the official statistics of the respiratory diseases prevalence in children of 0-14 age group in 2001-2015.
O. V. Zhukova +2 more
doaj
Vertical wind speed extrapolation using statistical approaches [PDF]
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H. +4 more
doaj +1 more source
The process of admitting new students is an annual routine activity that occurs in a university. This activity is the starting point of the process of searching for prospective new students who meet the criteria expected by the college.
Tatang Rohana, Bayu Priyatna
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This study presents a novel forecasting framework that integrates Genetic Algorithms (GA) with Long Short-Term Memory (LSTM) networks to enhance the prediction accuracy of passenger volumes in Thailand's public transportation systems.
Khumla Pornsiri, Sarawan Kamthorn
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Background: Myocardial perfusion scintigraphy (MPS) is an important tool for evaluating ischemia in diabetic populations. However, applications of advanced predictive models like multivariate adaptive regression splines (MARS) to estimate summed stress ...
Chien-Han Yuan +5 more
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Transforming oil market analysis: A novel GAN + LSTM predictive framework
A novel method of predicting the crude oil WTI futures prices based on a data set covering April 12, 2009 through January 7, 2024. To capture complex market dynamics more precisely, it incorporates key market factors such as open, high, and low price ...
Prity Kumari +2 more
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Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach
This study proposes a hybrid prediction model using sparrow search algorithm (SSA) to optimize the convolutional neural network (CNN) and support vector machine (SVM), in order to perform accurate prediction of secondary supply temperature (Ts2).
Wenhan An +4 more
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Forecasting PM2.5 in Malaysia Using a Hybrid Model
Predicting future PM2.5 concentrations based on knowledge obtained from past observational data is very useful for predicting air pollution. This paper aims to develop a hybrid forecasting model using an Artificial Neural Network (ANN) and Triple ...
Ezahtulsyahreen Ab. Rahman +3 more
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Introduction In recent years, load-velocity profiles (LVP) have been frequently proposed as a highly reliable and valid alternative to the one-repetition maximum (1RM) for estimating maximal strength and prescribing training loads.
Carl-Maximilian Wagner +5 more
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