Reconstruction of cosmological models are inspired by generalization of the Chaplygin gas by П.Ю. Цыба, О.В. Разина, Н.Т. Суйкимбаева

“… This paper considers models arising from the composition of the modified Gauss–Bonnet gravity (the Gauss–Bonnet invariant) and the general relativity (the Ricci scalar) against the background of a flat, homogeneous, and isotropic space-time described by the Friedmann–Robertson–Walker metric. …”
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A new neurodynamic model with Adam optimization method for solving generalized eigenvalue problem by Ebrahim Ganjalipour, Khadijeh Nemati, Amir Hosein Refahi Sheikhani, Hashem Saberi Najafi

“…In this paper we proposed a new neurodynamic model with recurrent learning process for solving ill-condition Generalized eigenvalue problem (GEP) Ax = lambda Bx. our method is based on recurrent neural networks with customized energy function for finding smallest (largest) or all eigenpairs. …”
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THE APPLICATION OF STANDARD GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (SGARCH) MODEL IN FORECASTING THE STOCK PRICE OF BARITO PACIFIC by Edwin Setiawan Nugraha, Celine Alvina

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INTERLAMINAR STRESS ANALYSIS OF INCOMPATIBLE GENERALIZED MIXED ELEMENT MODEL FOR COMPOSITE LAMINATES WITH A HOLE by QING Guanghui, WANG Yonggang, WANG Xie

“…In order to investigate the stress concentration phenomenon and analyze the distribution characteristics of the interlaminar stress in the hole edge region of composite laminates. Based on the generalized mixed variational principle, the generalized mixed finite element model for laminated plates with various stacking modes were established. …”
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A General On-Orbit Absolute Radiometric Calibration Method Compatible with Multiple Imaging Conditions by Liming Fan, Zhongjin Jiang, Shuhai Yu, Yunhe Liu, Dong Wang, Maosheng Chen

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CRYPTOCURRENCY PRICE PREDICTION: A HYBRID LONG SHORT-TERM MEMORY MODEL WITH GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY by Indah Manfaati Nur, Rifqi Nugrahanto, Fatkhurokhman Fauzi

“…To overcome this volatility factor, this research used the Generalized Autoregressive Conditional Heteroscedasticity forecasting method to describe the heteroscedasticity factor, as well as a Recurrent Neural Network (RNN) with long-short-term memory that has feedback in modeling sequential data for time series analysis. …”
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Assessing Expected Shortfall in Risk Analysis Through Generalized Autoregressive Conditional Heteroskedasticity Modeling and the Application of the Gumbel Distribution by Bingjie Wang, Yihui Zhang, Jia Li, Tao Liu

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Generalized Autoregressive Conditional Heteroskedastic Model to Examine Silver Price Volatility and Its Macroeconomic Determinant in Ethiopia Market by Amare Wubishet Ayele, Emmanuel Gabreyohannes, Hayimro Edmealem

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The Influence of Meteorological Conditions and Seasons on Surface Ozone in Chonburi, Thailand by Sawaeng Kawichai, Wissanupong Kliengchuay, Htoo Wai Aung, Sarima Niampradit, Rachaneekorn Mingkhwan, Talisa Niemmanee, Wechapraan Srimanus, Walaiporn Phonphan, San Suwanmanee, Kraichat Tantrakarnapa

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Risk-factor Model Derivation and Validation for the Detection of Oral Potentially Malignant Disorders among General Population of Towns in Pune District, Maharashtra, India by Khushboo Thakkar, Sahana Hegde Shetiya, Dipti Agarwal, Sudhir L. Jadhav

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Comparison of the Symmetric and Asymmetric Generalized Autoregressive Conditional Heteroscedasticity (GARCH) Models in Forecasting the 2018-2023 Jakarta Composite Index by Yenni Angraini, Adelia Putri Pangestika, I Made Sumertajaya

“…The research aimed to compare the accuracy of the symmetric ARCH/ Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and asymmetric TGARCH models in forecasting weekly Jakarta Composite Index (JCI) data on January 1st, 2018, to April 24th, 2023, by involving the influence of COVID-19 as a covariate variable and applying several validation scenario models to training and testing data. …”
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Using Transformers and Reinforcement Learning for the Team Orienteering Problem Under Dynamic Conditions by Antoni Guerrero, Marc Escoto, Majsa Ammouriova, Yangchongyi Men, Angel A. Juan

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Gender Differences in Predictors of Physical Functioning Limitations Among the Elderly Population in Serbia: A Population-Based Modeling Study by Dejan Nikolic, Natasa Mujovic, Milena Santric-Milicevic, Sindi Mitrovic, Nevena Krstic, Ana Radic, Diana Radovic, Ardak Nurbakyt, Dinara Sukenova, Milena Kostadinovic

“…Further variables were evaluated: self-perceived general health, long-lasting health problems, and chronic diseases/chronic conditions. …”
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Application of a generalized additive mixed model in time series study of dairy cow behavior under hot summer conditions by C. Ferrari, C. Evangelista, L. Basiricò, S. Castellani, S. Biffani, U. Bernabucci

“…ABSTRACT: This study investigated the pattern of 6 behavioral parameters in Holstein dairy cows under heat stress (HS) conditions using a generalized additive mixed model (GAMM) statistical approach, while also evaluating the effectiveness of a commercial electrolyte, osmolyte, and antioxidant blend in mitigating HS-induced adverse effects. …”
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Managing the Risk via the Chi-Squared Distribution in VaR and CVaR with the Use in Generalized Autoregressive Conditional Heteroskedasticity Model by Fazlollah Soleymani, Qiang Ma, Tao Liu

“…This paper develops a framework for quantifying risk by integrating analytical derivations of Value at Risk (VaR) and Conditional VaR (CVaR) under the chi-squared distribution with empirical modeling via Generalized Autoregressive Conditional Heteroskedasticity (GARCH) processes. …”
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BiDir-GRCO: A Bidirectional General Reaction Conditions Optimization Framework Integrating Multi-Armed Bandit and Regression Model by Quan Jiang, Mengyang Tian, Jianmin Liu, Jiawei Mo

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The Model of Fundamental Chemical Training of Bachelors of Technical and Technological Directions in the Conditions of Blended Learning by N. M. Vostrikova

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An approach to the meso-scale epidemiological behavior of Plasmodiophora brassicae from cruciferous crops under tropical conditions; Supplementary material by Andres F. Quintero-Mercado, Juan Camilo Garcia-Peña, Andrea Botero-Ramirez, Celsa Garcia, Joaquín Guillermo Ramírez-Gil

“…In addition, an edaphoclimatic characterization was carried out based on field data and secondary information by web scraping using freely available databases. The forecast models were determined by fitting a Generalized Linear Model (GLM) using the logit and inverse link functions for binomial and gamma distributions, respectively. …”
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Generalized Formalization Related Signs of Functioning Ergo Technical Information Electronic Systems on the Basis of Their Structural and Logical Models by A. N. Potapov

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Viscoelastic Response of Sugar Beet Root Tissue in Quasi-Static and Impact Loading Conditions by Paweł Kołodziej, Krzysztof Gołacki, Zbigniew Stropek

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