Reengineering the Management Model of Defense to Overcome Separatism in Papua for National Interests by Faonaso Harefa, Sovian Aritonang, Asep Adang Supriyadi, Cecilia F. Harsono

“…Cronbach’s alpha and composite reliability values ​​that show high internal consistency. …”
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ABOUT A «DIGITAL TWIN» OF A FOOD PRODUCT by Marina A. Nikitina, Irina M. Chernukha, Andrey B. Lisitsyn

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Development of a rational composition of a polyenzyme composition in the technology of bioscouring of cotton fabrics by Ksenia A. Lenko, Natallia N. Yasinskaya, Natallia V. Skobova

“…Based on the obtained models, graphic images of the dependence of the properties of cotton fabrics after bioscouring on the qualitative and quantitative composition of the multienzyme composition were constructed. …”
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Comprehensive DEM Calibration Using Face Central Composite Design and Response Surface Methodology for Rice–PLA Interactions in Enhanced Bucket Elevator Performance by Pirapat Arunyanart, Nithitorn Kongkaew, Supattarachai Sudsawat

“…The calibration process employed a multi-phase experimental design integrating Plackett–Burmann screening, steepest ascent method, and Face Central Composite Design to systematically identify and optimize critical micro-mechanical parameters for agricultural material handling. …”
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Advances in interlayer bonding in fused deposition modelling: a comprehensive review by Mohamed A. E. Omer, Ibrahim Abdelfadeel Shaban, Abdel-Hamid Mourad, Hussien Hegab

“…Fused deposition modeling (FDM) has established itself as a major additive manufacturing technology for the production of parts made of polymer and composite materials. …”
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Modelling of Peripheral Wood Milling Power Using Design of Experiment Approach by Miran Merhar, Aldin Bjelić, Atif Hodžić

“…The model proved to be suitable, as the deviations between the measured and modelled power values are minimal.…”
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Determination of optimal thickness level of Komagataeibacter xylinus bacterial cellulose based on media composition of fructose, ammonium sulfate, and soybean boiling wastewater us... by Jasmin Tiara Cinta Saffira, Nugroho Darmawan Ari, Suyantohadi Atris, Kurniawan Muhammad Prasetya

“…Research has focused on finding the optimal media composition to enhance the production of Komagataeibacter xylinus bacterial cellulose using the 3-factor and 2-level Taguchi method and determining the kinetic model for bacterial cellulose formation in the optimal media composition. …”
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A Model Based on Neural Network to Predict Surface Settlement During Subway Station Construction: A Case Study of the Dongba-Zhongjie Station in Beijing, China by Jiaqi Zhang, Hua Jiang, Jinsen Wang, Jili Feng

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Modern technology of investment casting for the production of artistic castings by S. S. Tkachenko, V. O. Emelyanov, K. V. Martynov

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Tensile and Flexural Properties of 3D-Printed Polylactic Acid/Continuous Carbon Fiber Composite by Ali Khalili, Abdolvahed Kami, Vahid Abedini

“…Fused deposition modeling is one of the most common methods of additive manufacturing that has enabled the 3D printing of composites. …”
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A cell-based smoothed discrete shear gap method (CS-FEM-DSG3) for dynamic response of laminated composite plate subjected to blast loading by Dang Trung Hau, Nguyen Thoi My Hanh, Nguyen Thoi Trung

“…The cell-based smoothed discrete shear gap method (CS-FEM-DSG3) based on the first-order shear deformation theory (FSDT) and the equivalent layer theory (ELT) is used to model the behavior of the laminated composite plate. …”
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Finite Element Modeling for Buckling Analysis of Tapered Axially Functionally Graded Timoshenko Beam on Elastic Foundation by Masoumeh Soltani

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Discrete Physics-Informed Training for Projection-Based Reduced-Order Models with Neural Networks by Nicolas Sibuet, Sebastian Ares de Parga, Jose Raul Bravo, Riccardo Rossi

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Study on diffusion coefficient of benzene and ethyl benzene vapours in nanoporous silica aerogel and silica aerogel-activated carbon composites by A. Mohammadi, J. Moghaddas

“…In this study, nanoporous silica aerogel and silica aerogel-activated carbon composites have been synthesized using a water glass precursor by cost effective ambient pressure drying method. …”
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An Assessment of Local Geometric Uncertainties in Polysilicon MEMS: A Genetic Algorithm and POD-Kriging Surrogate Modeling Approach by Ananya Roy, Francesco Rizzini, Gabriele Gattere, Carlo Valzasina, Aldo Ghisi, Stefano Mariani

“…In this paper, an approach that combines genetic algorithms and proper orthogonal decomposition with kriging surrogate modeling was proposed to accurately predict over-etch measures through an on-chip test device. …”
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Weibull Statistic and Artificial Neural Network Analysis of the Mechanical Performances of Fibers from the Flower Agave Plant for Eco-Friendly Green Composites by Imen Lalaymia, Ahmed Belaadi, Messaouda Boumaaza, Hassan Alshahrani, Mohammad K. A. Khan, Amar Dib

“…The ANN provided correlation coefficients (R2) of 0.9897, 0.9971, 0.9993, and 0.9939 for training, validation, testing, and all datasets respectively, which were able to accurately predict the experimental data. The proposed model would be of tremendous assistance to engineers and designers in obtaining green composite materials that are based on natural fibers and thereby more durable. …”
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Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model by Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang

“…Therefore, we propose a feature extraction and attribute recognition method from in situ light-scattering measurements based on Bayesian Optimization, wavelet scattering transform, and long short-term memory neural network (BO-WST-LSTM), with empirical mode decomposition (EMD) and independent component analysis (ICA) algorithm for signal preprocessing. …”
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Branch error reduction criterion-based signal recursive decomposition and its application to wind power generation forecasting. by Fen Xiao, Siyu Yang, Xiao Li, Junhong Ni

“…To address this issue, a branch error reduction (BER) criterion is proposed in this study that is based on which a mode number adaptive VMD-based recursive decomposition method is used. This decomposition method is combined with commonly used single forecasting models and applied to the wind power generation forecasting task. …”
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Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory by Huiru ZHAO, Yihang ZHAO, Sen GUO

“…At the same time, the prediction results of complementary ensemble empirical mode decomposition and long short-term memory are compared with those of long short-term memory model under other decomposition methods, which has verified that the complementary ensemble empirical mode decomposition method is effective in improving the prediction accuracy.…”
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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

“…In this work, we propose a novel method that addresses these challenges by employing empirical mode decomposition (EMD) for feature extraction and a parallel convolutional neural network (PCNN) for feature classification. …”
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