Application of deep reinforcement learning in parameter optimization and refinement of turbulence models by Zhan Zhang

“…Abstract In the field of computational fluid dynamics, the accuracy of turbulence models is crucial. The aim of this study is to improve the accuracy of simulations by optimizing turbulence model parameters, in order to address the cost and time limitations of traditional wind tunnel tests and on-site measurements. …”
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Optimal bubble deck slabs in regard to ultimate and serviceability limit states by Natalia Staszak, Tomasz Gajewski, Tomasz Garbowski

“…The optimization process involves identifying optimal design parameters, including the size of the bubble deck unit and the dimensions of the bubbles, to balance material efficiency and structural performance. …”
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Optimization of train obstacle detection based on zone media controller unit by ZHOU Liming, HU Jiaqiao, SHEN Tuo

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Modification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor by T. I. Petrov

“…PMSM have smaller weight and size parameters, which allows them to be used in a wider field of application, for example, in household appliances, robots and many other drives.TARGET. The aim is to develop a methodology for topological complex optimization of the engine design, based on a genetic algorithm.METHODS. …”
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Multi-Microgrid System Optimization Addressing the Uncertainties in Generation and Load Demand by Lena Abu-El-Haija, Basel E'Layan, Yousef Refai, Mohamed Kenan Alsafadi, Mohammad J. Abdel-Rahman, Ahmad I. Abu-El-Haija

“…The framework aims to achieve optimal profit while meeting the load demand for the system. …”
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Energy Conservation Strategy Driven by Optimizing Waste Heat Supply Chain by Jing Yang, Juan He, Zhiyong Zhang, Ming Hong, Tao Xu, Zhidong Li, Fuyu Qin

“…Subject to pressures from resource exhaustion and environmental pollution, many countries have aimed to replace fossil fuels with renewable energy as part of their decarbonization strategy. …”
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Optimizing Districting and Seat Allocation for Enhanced Representativeness in Chile’s Chamber of Deputies by Rodrigo Rebolledo, Ana Ulloa, Óscar Cornejo, Carlos Obreque, Felipe Baesler

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Optimization of external container delivery and pickup scheduling based on appointment mechanism. by Pengfei Huang, Hao Wang, Fangjiao Tan, Yuyue Jiang, Jinfen Cai

“…Therefore, this study aims to minimize truck companies' operational costs by establishing an optimization model for external truck scheduling. …”
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Optimizing employee satisfaction in India’s IT sector: a focus on employer branding by Anupama Sharma, Rahul Raj, Manish Kumar, Ashulekha Gupta, Amar Johri, Mohammad Asif

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Optimization of Quantitative Evaluation Method for Urban Waterfront Building Cluster Skyline by Jian Zhang, Wenlei Luan, Jieshuai Zhang

“…By doing so, it supplements and optimizes traditional quantitative analysis solely based on fractal theory. …”
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Predicting burnout based on metacognitive beliefs and ‎ alexithymia mediated by optimism in nurses by Fatemeh sadat Hosseini Adl, Anis Khoshlahjeh sedgh

“…Therefore, the present study aimed to predict burnout based on metacognitive beliefs and alexithymia with the mediation of optimism in nurses. …”
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Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms by Orken Mamyrbayev, Ainur Akhmediyarova, Dina Oralbekova, Janna Alimkulova, Zhibek Alibiyeva

“…Due to their inherent variability, incorporating renewable energy sources into current power grids poses major challenges. This study aims to optimize renewable energy integration using Internet of Things (IoT) technology and machine learning (ML) algorithms. …”
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Optimal Modeling of Wireless LANs: A Decision-Making Multiobjective Approach by Tomás de Jesús Mateo Sanguino, Jhon Carlos Mendoza Betancourt

“…Communication infrastructure planning is a critical design task that typically requires handling complex concepts on networking aimed at optimizing performance and resources, thus demanding high analytical and problem-solving skills to engineers. …”
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OPTIMIZATION TECHNOLOGY OF FAT-SOLUBLE VITAMINS PRODUCTION BASED ON ALKALINE HYDROLYSIS by E. B. Sysuev, E. F. Stepanova, V. D. Noskova

“…In the group of fat-soluble vitamins, vitamin D is one of the most relevant objects, that is why the problem of its technology optimization is under consideration. In general, there is a number of ways to obtain this substance, although it is not produced in Russia yet.The aim of the study was to select optimal process conditions to increase the efficiency of protein transformation with the isolation of a fat fraction containing fat-soluble vitamin D.Materials and methods. …”
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Formulation Optimization, Physicochemical Characterization, and Biocompatibility Assessment of Curcumin‐Loaded Aquasomes by Fernando Bwalya, Murat Erdem, Mustafa Sinan Kaynak

“…The study developed curcumin‐loaded AQ with enhanced stability and solubility, optimized through quality by design principles, offering a promising strategy to improve curcumin's bioavailability.…”
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Optimizing Flexor Digitorum Profundus Tendon Repair: A Narrative Review by Rishith R. Mereddy, Emily E. Zona, Camille J. LaLiberte, Aaron M. Dingle

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Purchasing Prediction Using Machine Learning Algorithms for Optimizing Inventory Management by Reza Hamdi Prayetno, Rani Destika Purba, Kyrene Wirawan, Kelvin Sweet, Evta Indra

“…The use of machine learning is not only limited to predicting purchasing needs, but can also be applied in various other business aspects. This research aims to optimize HP spare parts inventory management at Store X using the Long Short-Term Memory (LSTM) method. …”
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Optimization of Fluid-Type Roasting Machine on Robusta Roasted Coffee Characteristics by Ari Rahayuningtyas, Ida Farikha Azizah, Steven Witman, Dadang Dayat Hidayat, Alifia Fauziah Rohzan, Yusep Ikrawan, Ngatinem Ngatinem

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On optimization of substrate removal in a bioreactor with wall attached and suspended bacteria by Alma Mašić, Hermann J. Eberl

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The convergence of AI and portfolio optimization: A bibliometric exploration of research trends by Abhidha Verma

“…This paper aims to conduct a comprehensive bibliometric study of the scientific literature on portfolio optimization, focusing on the impact of AI, ML, and DL advancements. …”
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