Modeling the consumption of current assets on the basis of the Cauchy problem for forging and pressing production by N. V. Gryzunova, A. A. Khvostova, M. V. Ivanyuk

“…This article discusses the problem of optimizing current assets based on the Cauchy model. …”
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Model for selective vehicle problem considering mixed fleet with capacitated electric vehicles by Jiacheng Li, Masato Noto, Yang Zhang, Jia Guo

“…This paper considers the self-loading constraints and energy consumption constraints of different types of trucks and establishes a multi-objective optimization model aimed at maximizing service completion, minimizing service energy consumption, and minimizing emission. …”
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Effects of strain rate and temperature on the interface deformation mechanism of Cu/Al4Cu9/Al2Cu/Al multilayer composites: A molecular dynamic study by Hui Zhang, Aiqin Wang, Aiqiong Pan, Jingpei Xie

“…Increased strain rates promoted dislocation accumulation, strengthening deformation resistance, while higher temperatures reduced dislocation density, weakening interfacial bonding and ductility.These findings provide theoretical guidance for optimizing copper-aluminum composites in engineering applications.…”
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Optimizing polyphenol extraction and UPLC-MS/MS analysis from red clover (Trifolium pratense L.) species using response surface methodology by Emily P. Verhulst, Carlos Álvarez, Nigel P. Brunton, Dilip K. Rai

“…The combined factors of ethanol concentration (60–80%), extraction time (15–45 min) and extraction temperature (40–80°C) were evaluated. Central composite design software was used to conduct Response Surface Methodology (RSM) modelling and optimize the polyphenol yield from the red clover. …”
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AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…Six predictive models were assessed for accuracy and generalization: Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbor (KNN), Linear Model (LM), Dragonfly Algorithm-based Deep Neural Network (DNN-DA), and Improved Grey Wolf Optimizer-based Deep Neural Network (DNN-IGWO). …”
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Modeling the Stability of the Housing and Construction Complex Based on Organizational and Economic Interaction of Entities by N. N. Shelomentseva, O. V. Grushina

“…As a result, the idea of the “best” structure of the housing stock in terms of the number of rooms corresponding to the composition of households was proposed. Achieving the “optimal” housing provision for the population requires timely organizational and economic changes, one of which is the introduction of project financing. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…Previous studies have often focused on overall performance, neglecting specific challenges in medical contexts and the impact of macrofactors like lexical composition on prediction accuracy. These gaps hinder the development of optimized NER models for medical applications. …”
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Development of the Tablet Dosage Form Composition for the Inductor of Hepatocytes Monooxygenase System Based on 6,8-dimethyl-2-piperidinomethyl-2,3-dihydrothiazolo[2,3-F]xanthine by A. I. Petrakov, V. V. Sheikin, S. V. Krivoshchekov, E. A. Bezverkhniaia, A. M. Guryev, M. V. Belousov

“…Evaluation of the substance properties was carried according to the following indicators: appearance, loss on drying, fractional composition, flowability, bulk density, porosity, tablet compression (cohesion), ejection force of the tablet from matrix. …”
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Exploring Predictive Modeling for Food Quality Enhancement: A Case Study on Wine by Cemil Emre Yavas, Jongyeop Kim, Lei Chen, Christopher Kadlec, Yiming Ji

“…Our methodology applies a second-degree polynomial ridge regression model, optimized through an exhaustive evaluation of feature combinations. …”
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Optimization of Forming Parameters and Forming Strategy for Stamping of Novel Ultra-Thin Super Ferritic Stainless Steel Bipolar Plates Based on Numerical Simulation by Jun Lan, Jian Han, Lisong Zhu, Jingwen Song, Meiqing Meng, Zhengyi Jiang

“…The model incorporated optimized die parameters obtained through Central Composite Design (CCD). …”
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Evaluation of Sustainability for Coal Consumption Using a Multiattribute Decision-Making Model by Guodang Zhao, Xuyang Guo, Xin Wang, Dezhi Zheng

“…The MADM model consists of attributes (standards), their importance weights, and alternatives. …”
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Optimization of Laser Transmission Joining Process Parameters on Joint Strength of PET and 316 L Stainless Steel Joint Using Response Surface Methodology by Shashi Prakash Dwivedi, Satpal Sharma

“…The central composite design (CCD) has been utilized to plan the experiments and response surface methodology (RSM) is employed to develop mathematical model between laser transmission joining parameters and desired response (joint strength). …”
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Degradation of Anti-Nutritional Factors in Maize Gluten Feed by Fermentation with <i>Bacillus subtilis</i>: A Focused Study on Optimizing Fermentation Conditions by Xiaohong Sun, Lei Ma, Yaoquan Xuan, Jianfen Liang

“…Three statistically significant factors, i.e., fermentation time, inoculum dose, and material-to-liquid ratio were further optimized through a central composite design and the efficiency of fermentation conditions was predicted. …”
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Effect of process parameters and optimization of photocatalytic removal of lead from wastewater over CuZn oxide nanocomposite using response surface methodology by Hiba Abduladheem Shakir, Alyaa K. Mageed, May Ali Alsaffar, Mohamed Abdel Rahman Abdel Ghany

“…The influence of parameters such as pH, initial ion concentration of Pb2+, dosage of catalyst, and distance from the light source was evaluated to ascertain how Pb2+ removal would be most successful. Central Composite Design (CCD) and Response Surface Methodology (RSM) were employed for experimental design and optimization studies. …”
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Eco-friendly nanocomposite of manganese-iron and plant waste derived biochar for optimizing Pb2+ adsorption: A response surface methodology approach by Muhammad Shafiq, Abdulrahman Ali Alazba, Muhammad Tahir Amin

“…This study utilized Central Composite Design to optimize Pb²⁺ removal from aqueous solutions using a nanocomposite of manganese-iron (Mn-Fe) and biochar derived from Conocarpus pruning waste (C. biochar). …”
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A novel waste heat-driven methane reforming membrane reactor and parametric optimization study combining CFD simulation and response surface methodology by Jingyu Wang, Lei Wang, Leilei Shen, Yuqi Shen, Yuqi Wang

“…To address these challenges, a novel composite membrane reactor was proposed in this study, with operating parameters optimized using the response surface methodology (RSM). …”
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Removal of chromium from synthetic wastewater by electrocoagulation and using natural coagulant (blend of hen eggshell powder with lime): optimization of response surface methodolo... by Werkne Sorsa Muleta, Firomsa Bidira Abdi, Endrias Adane Bekele

“…In this work, the removal of Cr from synthetic wastewater by electrocoagulation supported by natural coagulant (eggshell powder) with aluminum electrodes was investigated. The central composite design of the response surface methodology was employed to estimate and optimize process variables, such as initial Cr concentration (225–475 mg/L), solution pH (5–9), and current density (0.35–045 A/m2), and treatment time (30–40 min) with an electrode distance (ED) of 0.5 and 1 cm, respectively. 99.90% and 99.74% of removal efficiencies were observed at initial Cr concentration of 456.11 mg/L, a solution pH of 5.45, with current density of 0.47 A/m2, and treatment time of 36.84 min. …”
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The use of mathematical model to evaluate the material balance of a solid oxide electrolyser by A. I. Golodnova, M. V. Erpalov, A. I. Golodnov

“…In this paper, a mathematical model of the material balance for a solid oxide electrolyser is considered, which allows optimizing the operating parameters of existing equipment and newly designed equipment. …”
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Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

“…In this study, we aim to develop advanced machine learning regression models for the prediction of hydrate temperature based on the chemical composition of sweet gas mixtures. …”
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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

“…ABSTRACT Mathematical modeling enables dimensioning of dryers, optimization of drying conditions and the evaluation of process performance. …”
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