Composition and Injection Rate Co-Optimization Method of Supercritical Multicomponent Thermal Fluid Used for Offshore Heavy Oil Thermal Recovery by Shenyao Yang, Zhilin Qi, Jie Tian, Mingda Dong, Wei Zhang, Wende Yan

“…The results show the following: (1) The higher the mass concentration of organic matter, the higher the content of supercritical carbon dioxide and supercritical nitrogen in thermal fluids, and the lower the content of supercritical water. (2) The higher the temperature and pressure, the higher the thermal fluid yield, and the higher the organic mass concentration, the lower the thermal fluid yield. (3) The component fitting model conforms to the power function relationship, and the coefficient of determination R² is greater than 0.9; the yield fitting model conforms to the modified inverse linear logarithmic function relationship, the determination coefficient R² is greater than 0.8, and the fitting degree is high. (4) The ratio between the actual injection rate of thermal fluids in the mine field and the molecular simulated thermal fluid yield is the ratio of organic matter mass in the platform thermal fluid generator and organic matter mass in the simulated box. (5) Based on the composition and yield control model, combined with the simulation of the ratio relationship between yield and injection rate in the field, a collaborative optimization method of thermal fluid composition and injection rate was established. …”
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IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

“…Cloud manufacturing (CMfg) is a new service-oriented smart manufacturing paradigm, and it provides a new product development model in which users are enabled to configure, select, and utilize customized manufacturing service on-demand. …”
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Study on the Composite EM Scattering from Sea Surface with Ship Based on Kd-Tree Accelerated Hybrid Model by Ye Zhao, Xin-Cheng Ren, Peng-Ju Yang

“…A hybrid model based on the geometrical optics and physical optics (GO-PO) method and facet-based asymptotical model (FBAM) for the composite EM scattering from sea surface with ship has been previously developed. …”
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Prediction of the composition of prolonged release tablets based on 4,4'-(propandiamido) sodium dibenzoate using the SeDeM method by Ju. M. Kotsur, Ju. M. Ladytko, I. A. Narkevich, E. V. Flisyuk

“…Prediction of the compositions of matrix tablets based on sodium 4,4'-(propanediamido)dibenzoate with prolonged release, obtained by direct compression using the method of mathematical modeling SeDeM.Materials and methods. …”
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Response Surface-Based Finite Element Model Updating of Steel Box-Girder Bridges with Concrete Composite Decks by Cheng-Qi Xiong, Zhi-Wen Zhu, Jin Jiang

“…The obtained updated finite element model gives results closer to the measured modalities, which provides a more reasonable bridge model for seismic analysis of bridges located in strong seismic zones and also demonstrates the effectiveness of the finite element analysis and the model updating method based on the response surface method in this study.…”
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MATHEMATICAL MODELING OF THE PROCESS OF SYNTHETIC SILUMINS PRODUCTION USING THE METHOD OF REGRESSION ANALYSIS by I. V. Rafalskij, A. V. Arabej

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Design and analysis of parameter optimization on development of corn straw fiber composition by ultrasound with alkalization pretreatment by SHEN Weizheng, QU Tengyu, WEI Xiaoli, MU Yingxin

“…Focusing on the defects in fiber structure of corn stalk feed, we proposed a novel production method of ruminant animal fodder by co- treatment with ultrasound and alkalization. …”
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An innovative approach to plastic mulch film modeling based on the discrete element method by Zhengyang Zhu, Binghui Li, Zige Xu, Yi Xie, Xinhua Zhu

“…This study proposed an innovative discrete element model construction method for the plastic mulch film based on triangular elements. …”
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Mathematical modeling of the drying of orange bagasse associating the convective method and infrared radiation by Carolina M. Sánchez-Sáenz, Vânia R. G. Nascimento, João D. Biagi, Rafael A. de Oliveira

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A Model-Based Optimization Method of ARINC 653 Multicore Partition Scheduling by Pujie Han, Wentao Hu, Zhengjun Zhai, Min Huang

“…This paper proposes a model-based optimization method for ARINC 653 multicore partition scheduling. …”
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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Correlation of friction coefficients and wear rates of copper/aluminum-graphite (Cu/Al-graphite) self-lubricating composites with their inherent material properties (composition, lubricant content, particle size, processing process, and interfacial bonding strength) and the variables related to the testing method (normal load, sliding speed, and sliding distance) were analyzed using traditional approaches, followed by modeling and prediction of tribological properties through five different ML algorithms, namely support vector machine (SVM), K-Nearest neighbor (KNN), random forest (RF), eXtreme gradient boosting (XGBoost), and least-squares boosting (LSBoost), based on the tribology experimental data. …”
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Mechanical constitutive model of stand off damping composites layered rubber core under wide strain rates by Zhangda Zhao, Wenjun Meng, Bijuan Yan, Guansen Qiao, Yuan Qin, Yao Wang, Tao Yang, Hong Ren

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A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition by Shu Zhang, Jian Hao, Donghai Wang, Chenglong Luo, Na Lu, Xiaocen Guo, Yanfang Liu, Zixiao Zhang, Shengli Li

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Modeling of erosion processes in open channels by M. R. Magomedova

“…Approbation of the developed technique on the material of laboratory and field studies confirmed its satisfactory accuracy in a wide range of hydraulic conditions and soil granulometric compositions. Conclusion. The principles of developing a model of erosion processes in open channels, the modular structure of the calculation algorithms and programs compiled on its basis, allow us to continuously improve the methods for calculating individual parameters of the erosion process and make adjustments to the corresponding modules of algorithms.…”
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RBCKF-Based Vehicle State Estimation by Adaptive Weighted Fusion Strategy Considering Composite-State Tire Model by Xi Chen, Xinlong Cheng

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Investigation of process parameter influence on the mechanical properties of FDM-printed PEEK-carbon fiber composites using RSM and Taguchi methods by Muhammad Nasir Bashir, Joon Sang Lee, Mohammed A. Bou-Rabee, Heba G. Mohamed, Ding Zhou, Irfan Anjum Badruddin, M.A. Fazal, Zafar Masood

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Simulated division of flood processes in the composite terrain region based on the multi-layer hydrological process combination model by Qiang Hui, Jungang Luo, Jie Hou, Huhu Cui, Ganggang Zuo

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ANN and machine learning based predictions of MRR in AWSJ machining of CFRP composites by K. Ramesha, N. Santhosh, B. A. Praveena, Banakara Nagaraj, N. Channa Keshava Naik, Quadri Noorulhasan Naveed, Ayodele Lasisi, Anteneh Wogasso Wodajo

“…Abstract This study investigates the effectiveness of Abrasive Water Suspension Jet (AWSJ) Machining, a non-conventional erosion-based method, for machining carbon fiber-reinforced polymer (CFRP) composites. …”
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Predict Unmatching Compositions for Compositional Zero-Shot Learning by Soohyeong Kim, Yong Suk Choi

“…Absence Modeling aims to predict unmatching compositions, allowing the model to learn irrelevant information between attributes and objects, thereby improving its ability to capture interdependencies. …”
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Raman spectroscopy for determination of compositions in liquid–liquid dispersions by Alexandra Weber-Bernard, Jörn Viell

“…Three alternative quantification methods are compared: peak integration, indirect hard modeling, and partial least-squares regression. …”
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