MODELING AND OPTIMIZATION OF POLYCOMPONENT FLOUR COMPOSITION FOR PRODUCTION OF GLUTEN-FREE MEATS by Oboturova N.P., Barybina L.I., Masalova V.V., Gezhina A.N.

“…When planning and implementing experimental studies it has been found that the best ratio of the components can be regarded as the use of 69.6% of rice flour, 6.8% of amaranth flour, 11% of chick-pea flour, 1.3% of flax meal, 11.3% of corn starch and 55 ± 0.5% water amount to the weight of the flour mix used to knead the model test systems. This composition of the flour mix and the quantity of water used for the batch made it possible to obtain a model test system with a maximum value of elastic and plastic deformation, most similar in value to the control one based on wheat flour. …”
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Advances in Virtual Power Plant Operations: A Review of Optimization Models by Fatemeh Marzbani, Ahmed H. Osman, Mohamed S. Hassan

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Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm by K. V. Dobrego, I. A. Koznacheev

“…Modeling of batteries is necessary to control their operating mode and diagnose their condition. …”
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Design optimization methodology of submarine using multilevel numerical CFD models by Mohamad Barhm, Amroune Salah, Miri Rached, Benchekkour Abdellah, Galoyan Karlen

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Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

“…This article proposes a numerical modeling framework from hybrid AI models, combining physics-informed neural networks and RL for real-time optimization of orientation in solar panels. …”
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Optimization and Analysis of Electrical Heating Ice-Melting Asphalt Pavement Models by Jiguo Liu, Kai Xu, Zhi Chen, Wenbo Peng, Longhai Wei

“…Existing studies primarily focus on optimizing cable-heated asphalt pavement through indoor model tests or finite element results. …”
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Modeling, optimization, and thermal management strategies of hydrogen fuel cell systems by Abubakar Unguwanrimi Yakubu, Liu Qingsheng, Meng Kai, Chen Jinwei, Omer Abbaker Ahmed Mohammed, Jiahao Zhao, Qi Jiang, Xuanhong Ye, Junyi Liu, Qinglong Yu, Muhammad Aurangzeb, Shusheng Xiong

“…This review synthesizes over one hundred studies published between 2015 and 2025, highlighting advancements in steady-state and dynamic modeling, AI-driven multi-objective optimization, and integrated thermal management. …”
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Methodology for Model-Based Design of Mobile Robots Control Algorithms by М. М. Tatur, М. S. Ihnatsiuk, А. D. Konikov

“…This allows to find the most successful algorithms and select control parameters that are close to optimal in the process of model-based design. …”
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Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. by Sam Moore, Edward M Hill, Louise Dyson, Michael J Tildesley, Matt J Keeling

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Optimal tactics in community pension model for defined benefit pension plans. by Jun Wang, Chunli Cui, Tian Tian

“…This study delves into the equilibrium strategy within the context of a defined benefit pension plan, employing a differential game framework with a community pension model. Hence, the model entails the company's controls over investment rates in funds, juxtaposed with employees' inclination towards a greater proportion of community pension allocation in said funds. …”
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Optimizing Pretrained Autonomous Driving Models Using Deep Reinforcement Learning by Vasileios Kochliaridis, Ioannis Vlahavas

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Sustainable management of coffee berry disease and leaf rust co-infection: a systematic review of deterministic models by Usa Wannasingha Humphries, Porntip Dechpichai, Alhassan Ibrahim, Muhammad Waqas, Boobphachard Chansawang, Gabor Kiss, Angkool Wangwongchai

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Multi-Time-Scale Layered Energy Management Strategy for Integrated Production, Storage, and Supply Hydrogen Refueling Stations Based on Flexible Hydrogen Load Characteristics of Po... by Zhuoyu Jiang, Rujie Liu, Weiwei Guan, Lei Xiong, Changli Shi, Jingyuan Yin

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Optimization of PID Controllers Using Groupers and Moray Eels Optimization with Dual-Stream Multi-Dependency Graph Neural Networks for Enhanced Dynamic Performance by Vaishali H. Kamble, Manisha Dale, R. B. Dhumale, Aziz Nanthaamornphong

“…This study presents a novel control strategy that integrates the Groupers and Moray Eels Optimization (GMEO) algorithm with a Dual-Stream Multi-Dependency Graph Neural Network (DMGNN) to optimize PID controller parameters. …”
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Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

“…To tackle these issues, our study proposes a sophisticated dynamic forecasting model for positional control, integrating beluga whale optimization (BWO), long short-term memory (LSTM), and random forest (RF) techniques. …”
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Optimization of Low-Impact Development Scheme for Communities by HU Jinhui, PANG Aoxuan, SUN Yingna

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Hybrid model predictive control-based integration of handling stability control for distributed drive electric vehicles by Shu Wang, Zichen Zheng, Xuan Zhao, Zhaoke Li, Jia Tian

“…To enhance the handling stability of distributed drive electric vehicles (DDEVs) under high-speed conditions and different road surfaces, this paper proposes a hierarchical integrated control strategy utilizing hybrid model predictive control (HMPC). …”
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Dynamic performance improvement of oscillating water column wave energy conversion system using optimal walrus optimization algorithm-based control strategy by Habiba A. ElDemery, Hany M. Hasanien, Mohammed Alharbi, Chuanyu Sun, Dina A. Zaky

“…The optimal design of the proportional-integral (PI) controller using the walrus optimization algorithm (WOA) with the aim to enhance the dynamic performance of a grid-connected wave energy conversion (WEC) system when subjected to diverse operational conditions is presented in this paper. …”
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Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power by Yang-Wu Shen, Jin-Rong Yuan, Fei-Fan Shen, Jia-Zhu Xu, Chen-Kun Li, Ding Wang

“…To overcome these issues, a finite control set model predictive control-based advanced control strategy is proposed. …”
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Evaluating the ANN Model Performance for PID Controller Tuning in Flow Process Control: A Comparative Study by Nur Assani, Petar Matic

“…Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and water flows determines the operation of the whole ship. …”
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