[PDF][PDF] Soft Computing-Based Generalized Least Deviation MethodAlgorithm for Modeling and Forecasting COVID-19 usingQuasilinear Recurrence Equations
This study introduces an advanced algorithm based on the Generalized Least Deviation
Method (GLDM) tailored for the univariate time series analysis of COVID-19 data. At the core …
Method (GLDM) tailored for the univariate time series analysis of COVID-19 data. At the core …
Solving the optimizing parameters problem for non-linear datasets using the high-order general least deviations method (GLDM) algorithm
MO Abotaleb - Computational Methods for Differential Equations, 2024 - cmde.tabrizu.ac.ir
This study presents an innovative approach to determining the coefficients of a high-order
quasilinear autoregressive model using the Generalized Least Deviations Method (GLDM) …
quasilinear autoregressive model using the Generalized Least Deviations Method (GLDM) …
Optimizing long short-term memory networks for univariate time series forecasting: a comprehensive guide
This article presents a comprehensive exploration of the adaptation of long short-term
memory (LSTM) neural networks for univariate time series forecasting, a critical area in …
memory (LSTM) neural networks for univariate time series forecasting, a critical area in …
Optimizing bidirectional long short-term memory networks for univariate time series forecasting: a comprehensive guide
This chapter undertakes an in-depth examination of refining bidirectional long short-term
memory (BiLSTM) networks for univariate time series forecasting, a pivotal segment within …
memory (BiLSTM) networks for univariate time series forecasting, a pivotal segment within …
Optimizing convolutional neural networks for univariate time series forecasting: a comprehensive guide
M Abotaleb, PK Dutta - … Strategies with Artificial Intelligence, edited by …, 2024 - degruyter.com
This chapter delves into the nuanced process of optimizing convolutional neural networks
(CNNs) for univariate time series forecasting, an area of critical importance in predictive …
(CNNs) for univariate time series forecasting, an area of critical importance in predictive …
Artificial intelligence-based diagnosis and treatment of childhood bronchial allergies
MM Mijwil, M Abotaleb, PK Dutta - 2024 - degruyter.com
Bronchial allergies in children are a frequent respiratory ailment that can have a major
negative effect on quality of life. Effective management requires both individualized …
negative effect on quality of life. Effective management requires both individualized …
[PDF][PDF] PROVING OPTIMAL MODEL SELECTION AND ZERO COEFFICIENT CASES IN TIME SERIES FORECASTING WITH THE GENERALIZED LEAST DEVIATION …
1 Introduction Page 1 Advanced Mathematical Models & Applications Vol.9, No.3, 2024, pp.475-524
https://doi.org/10.62476/amma93475 PROVING OPTIMAL MODEL SELECTION AND ZERO …
https://doi.org/10.62476/amma93475 PROVING OPTIMAL MODEL SELECTION AND ZERO …
[HTML][HTML] Установление значимости коэффициентов квазилинейного уравнения N-факторной авторегрессии
АМС Абделсалам - Проблемы информатики, 2024 - cyberleninka.ru
В этой статье проводится анализ обобщенного метода наименьших отклонений
(GLDM), применяемого при анализе временных рядов. Исследование посвящено …
(GLDM), применяемого при анализе временных рядов. Исследование посвящено …
[PDF][PDF] Аботалеб Мостафа Салахелдин Абделсалам
АП ВРЕМЕННЫХ - 2024 - susu.ru
Актуальность темы. В настоящее время накоплен большой опыт измерения
вибрационных сигналов, разработки методов вибродиагностики и прогнозирования …
вибрационных сигналов, разработки методов вибродиагностики и прогнозирования …
Enhancing COVID-19 Forecasting in Dagestan with Quasi-linear Recurrence Equations by Using GLDM Algorithm
This research delineates the advancement of a refined predictive algorithm centered on the
Generalized Least Deviation Method (GLDM) specifically configured for analyzing COVID …
Generalized Least Deviation Method (GLDM) specifically configured for analyzing COVID …