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

“…Hence, it is interesting to compare the forecasting accuracy of symmetric and asymmetric Autoregressive Conditional Heteroskedasticity (ARCH) models in various data conditions. 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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Methods of evaluating maturity level of the organization based on fuzzy modeling by Lyudmila Viktorovna Borisova, Lyubov Azatovna Dimitrova, Inna Nikolaevna Nurutdinova

“…A brief description of the fuzzification stages content, composition and defuzzification which are the essence of the fuzzy modeling process to obtain reliable estimates is given. …”
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Assessing the potential of polarimetric decomposition of Sentinel-1 SAR for the estimation of mangrove forest biomass by G. Ghivarry, E. Kutchartt, E. Kutchartt, F. Pirotti, F. Pirotti

“…Meanwhile, GEDI data were used to train the prediction model instead of observational data. The predictive ability of the model using only SAR-derived explanatory variables resulted in an RMSE of about 45 Mg/ha and an R-squared of about 0.2.…”
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Fatigue Design Research on Notch–Stud Connectors of Timber–Concrete Composite Structures by Zuen Zheng, Shuai Yuan, Guojing He

“…Using residual slip as the damage variable, a two-stage fatigue damage evolution model was constructed from the damage–cycle ratio relationship, offering a new method for shear connector fatigue damage calculation in timber–concrete composites and enabling remaining life prediction for similar composite beam connectors. …”
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Block-Based Multicut Benders Decomposition Algorithm for Transmission and Energy Storage Co-Planning by Edimar José de Oliveira, Arthur Neves de Paula, Leonardo Willer de Oliveira, Leonardo de Mello Honório

“…This division makes it possible to use parallel computation methods to solve each block simultaneously, reducing the simulation time, which allows the use of a more extensive time window to model the variability of random variables of the system, such as wind and load. …”
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Accurate Solar Radiation Forecasting Through Feature-Enhanced Decision Trees and Wavelet Decomposition by Gaizen Soufiane, Abbou Ahmed, Fadi Ouafia

“…The main research question investigates how well decision tree models, enhanced by wavelet transform, can forecast daily solar radiation. …”
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The impact of digital industries on carbon emission in China: Input-output and structural decomposition analysis by Yuke Li, Jing Wu, Xiaodong Pei, Qianting Zhu

“…This study uses the Input-Output method and Structural Decomposition Analysis models to measure the structural effects of DI on carbon emissions in China from 2007 to 2017, through a dual perspective of “region-industry”. …”
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Creep constitutive model of logarithmic fractal structure derivative of deep hard brittle rock by LIU Yipin, LIU Wenbo, ZHANG Shuguang, HUANG Xiang, LI Yingbo, ZHAO Shutian

“…The model is further optimized, and the nonlinear dashpot is deeply improved by using the logarithmic fractal structure derivative dashpot with variable time fractal dimension. …”
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Bulk System Reliability Assessment Incorporating Nodal Correlations in Supply–Demand Variabilities and Uncertainties Created with Net-Zero Emission Targets by Deeksha Sharma, Rajesh Karki

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Comprehensive Analysis of the Driving Forces Behind NDVI Variability in China Under Climate Change Conditions and Future Scenario Projections by Ao Li, Shuai Yin, Nan Li, Chong Shi

“…Firstly, this study decomposed the time series data into seasonal, trend, and residual components using the Seasonal–Trend decomposition using Loess (STL) decomposition method, quantifying vegetation changes across different climate zones. …”
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Assessing future risk of humanitarian crises using projections of climate-related hazards, population, conflict and other socioeconomic variables within the INFORM framework by Sepehr Marzi, Karmen Poljanšek, Eleni Papadimitriou, Daniele Dalla Valle, Andrea Salvi, Christina Corbane

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COMPOSITE LEVER METHOD FOR POWER FLOW ANALYSIS OF LOOP-TYPE COMPOUND EPICYCLIC GEAR SYSTEM by XU Lin, LIU Kai, CUI YaHui, WANG HongJiang, ZHANG BaoFeng, LIU XiaoLin

“…Based on the lever model of a single epicyclic gear train, combined with the structural characteristics of the coupled system, used the superposition principle, a composite lever model reflecting the characteristics of the loop system is established. …”
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Anisotropic model observing pulsars from Neutron Star Interior Composition with modified Van der Waals equation of state by S. A. Mardan, A. Khalid, Rubab Manzoor, Muhammad Bilal Riaz

“…Abstract This paper is designed for heavy pulsars coming from the Neutron Star Interior Composition Explorer. The research model is describe by Einstein field equations for anisotropic fluid configuration with spherical symmetry. …”
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Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm by Vinoth Viswanathan, Sathiyamurthy Subbarayan, Ananthi Narayanaswamy, Devi Panneerselvam, Prabhakaran Jayasankar

“…A triangular membership function was employed to define all these variables. The effectiveness of the nonlinear regression analysis and fuzzy logic model was evaluated through confirmatory experiments. …”
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Evaluating microstructural and machine learning predictive models for friction drilling of sustainable snail shell reinforced aluminium matrix composites by Rajesh Jesudoss Hynes Navasingh, R. Sankaranarayanan, Priyanka Mishra, Angela Jennifa Sujana J, Jebasingh Jeremiah Rajesh, Jana Petru

“…Abstract For lightweight automotive applications, friction drilling is a choice candidate for ecofriendly drilling of aluminium matrix composites (AMCs) with green snail shell reinforcement. …”
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An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting by Yingying He, Likai Zhang, Tengda Guan, Zheyu Zhang

“…However, the inherent variability and intermittency of wind speed present significant challenges for achieving precise forecasts. …”
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Habitat Suitability Assessment for <i>Illicium verum</i> Hook. f. (Star Anise) Under Climate Change Conditions, Using the MaxEnt Model and Comprehensive 2D Chromatography by Peng Gu, Qiuling Li, Liangbo Li, Ding Huang, Kexin Cao, Rumei Lu, Rongshao Huang, Jianhua Chen

“…Finally, a stepwise regression model between chemical compositions and environmental variables was established, and based on this, a quality zoning map was subsequently plotted. …”
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Monitoring Spatial-Temporal Variability of Vegetation Coverage and Its Influencing Factors in the Yellow River Source Region from 2000 to 2020 by Boyang Wang, Jianhua Si, Bing Jia, Xiaohui He, Dongmeng Zhou, Xinglin Zhu, Zijin Liu, Boniface Ndayambaza, Xue Bai

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WHAT IF PRICES CHANGE? ANALYSIS OF INTERNATIONAL TOURIST MARKET SEGMENTS' COMPOSITION IN THE FACE OF INFLATION FLUCTUATIONS by Jesús Barreal Pernas, Julio Vena Oya, Juan Antonio Parilla González

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Effect of toolpath in large-format additive manufacturing with bio-derived composites by Eonyeon Jo, Katie Copenhaver, Halil Tekinalp, Tyler Smith, Hsin Wang, Uday Vaidya, Soydan Ozcan, Seokpum Kim

“…While numerical modelling has been extensively employed to simulate numerous manufacturing processes, its application in LFAM with bio-derived composites remains limited. …”
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