Integral Absorbing Boundary Conditions Optimized for Modelling of Acoustic Radiation of Elongated Bodies by Mikhail B. Salin, Sergey A. Smirnov, Anatoliy S. Suvorov, Irina A. Usacheva, Irina A. V’yushkina

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Optimizing the Cost of Process as a Decision-Making Tool to Determine the Selling Price by Mukti Prasaja, Rufaidho Dwi Lestari, Aan Nurrohman

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Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm by M. Gorji-Bandpy, A. Mozaffari

“…A new method called mutable smart bee (MSB) algorithm proposed for cooperative optimizing of the maximum power output (MPO) and minimum entropy generation (MEG) of an Atkinson cycle as a multiobjective, multi-modal mechanical problem. …”
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Optimization of the Driving Mode Transformation of Hybrid Electric Bus based on Genetic Algorithm by Zhao Lijun, Li Shoucheng, Wei Guangpu, Zhang Hongsheng

“…The hybrid electrical city bus has two power sources to drive vehicle,so the control of vehicle driving mode transformation is become the core of the vehicle control strategy.It not only influences the vehicle fuel economy and emissions,but also influences the driving comfort of the vehicle.An HEV simulation model is built for performance analysis by interlinking of advanced software AVL CRUISE and Matlab/Simulink.By adjusting threshold of the driving mode transformation,the mode can be transformed smoothly.For achieving minimum equivalent fuel consumption,the genetic algorithm（GA）optimization method is applied to get the optima of control parameters which affect the vehicle driving mode transformation in different city bus cycles including Europe and China.The vehicle fuel economy is further improved.…”
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Comprehensive Optimization of Emergency Evacuation Route and Departure Time under Traffic Control by Guo Li, Ying Zhou, Mengqi Liu

“…Finally, we propose a heuristic algorithm for the optimization of this comprehensive model. In case analysis, we take some areas in Beijing as the evaluation sources to verify the reliability of our model. …”
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Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions by ZHENG Ying, HUANG Hui, QI Qifeng, ZHANG Youbing, MAO Cui, ZHU Kaixiang, FENG Changsen

“…Smart buildings， as prosumers， not only facilitate the local consumption of renewable energy sources （RES） but also coordinate internal flexible loads to reduce electricity consumption costs through peer-to-peer （P2P） electrical energy transactions. …”
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Optimizing Zakat: A Multidisciplinary Analysis of Zakat Utilization for Enhancing Inclusive Education by Ely Fitriani, Ali Mudlofir, Nurisan Doloh

“…The utilization of zakat holds positive value, including the development of inclusive facilities and the enhancement of educational accessibility. The syntax for optimizing zakat for the improvement of inclusive education includes identifying optimal funding sources, strategically allocating funds, implementing transparent and accountable management mechanisms, collaborating with educational institutions and relevant stakeholders, continuous monitoring and evaluation, and educating the community about the philosophy of zakat.…”
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Optimal Dispatch Strategy of Power and Electricity Balance Based on Multi-Energy Complementation by Zhiyuan SUN, Boya PENG, Yan SUN

“…Finally, case studies are performed to verify the effectiveness of the proposed method on the modified IEEE-RTS 1979 system model. …”
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Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach by Sassi Rekik

“…Subsequently, a multi-criteria decision-making approach, employing the gray technique for order preference by similarity to ideal solution (TOPSIS-G) method (validated by gray additive ratio assessment (ARAS-G), gray complex proportional assessment (COPRAS-G), and gray multi-objective optimization by ratio analysis (MOORA-G), was used to rank the identified strategies.The SWOT analysis revealed ''Strengths'' as the most influential factor with a relative weight of 47.3 %, followed by ''Weaknesses'' (26.5 %), ''Threats'' (15.6 %), and ''Opportunities'' (10.6 %). …”
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Optimizing agricultural biomass selection for biochar production using multicriteria decision-making by Ayodeji Raphael Ige, Grażyna Łaska, Grzegorz Świderski, Grzegorz Zając

“…Given the increasing demand for eco-friendly soil amendments, water treatment efficiency and renewable energy sources, identifying optimal agricultural biomass feedstocks is crucial. …”
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A Novel Optimal Control Strategy of Four Drive Motors for an Electric Vehicle by Chien-Hsun Wu, Wei-Zhe Gao, Jie-Ming Yang

“…This study presents a simulation platform for an electric vehicle with four motors as power sources. This platform also consists of the driving cycle, driver, lithium-ion battery, vehicle dynamics, and energy management system models. …”
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Optimizing the Genomic Evaluation Model in Crossbred Cattle for Smallholder Production Systems in India by Kashif Dawood Khan, Rani Alex, Ashish Yadav, Varadanayakanahalli N. Sahana, Amritanshu Upadhyay, Rajesh V. Mani, Thankappan Sajeev Kumar, Rajeev Raghavan Pillai, Vikas Vohra, Gopal Ramdasji Gowane

“…This study aimed to optimize genomic evaluation models for crossbred cattle in South India. …”
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Restoration of Hardware Function of Spectral Colorimeters Using Regularization Methods by M. A. Radjabova, B. I. Eshmatova, N. K. Babanazarova

“…Since the actual hardware function of the device usually differs from the Gaussian curve, the use of hardware functions in the form of analytical dependencies does not always give the desired result, and for experimental methods, special equipment with a quasi-monochromatic radiation source is required. …”
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Contemporary Biological Methods of Mine Reclamation in the Kemerovo Region – Kuzbass by Natalya V. Fotina, Vladislav P. Emelianenko, Ekaterina E. Vorob’eva, Nadezhda V. Burova, Elena V. Ostapova

“…Coal mining is the main source of anthropogenic impact on the landscapes of the Kemerovo Region – Kuzbass. …”
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Assessment of performance metrics for fusion network by Rohan Gupta, Gurpreet Singh, Amanpreet Kaur

“…From the outcome it has been verified that the designed technique is finest in contrast to other alternatives of particle swarm optimization and ant colony optimization Routing overheads of the designed algorithm are reduced in contrast to other methods.…”
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Development and research of the quadrupole mass spectrometry simulation model with the entire ion optics system by Lina Yang, Yuqing Gu, Hao Gong, Zi-long Liu, Xingchuang Xiong, Xiang Fang

“…To address the challenges posed by numerous optimization parameters and high time costs, the orthogonal experimental design method was employed, which remarkably enhanced the efficiency of parameter optimization and reduced the experimental time and cost. …”
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Fast Catalog Matching for Improved Posteriors via Constrained Clustering by Jacob Feitelberg, Tamás Budavári, Amitabh Basu

“…Our new approach uses constrained clustering, specifically COP-KMeans, to provide near-optimal solutions in a fraction of the time of previous methods. …”
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PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

“…To address this gap, we developed PyIT2FLS, an open-source framework for creating both Type-1 and Interval Type-2 fuzzy logic models. …”
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Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps by Zhitao Wang, Yubin Qiu, Shiyu Zhou, Yanfa Tian, Xiangyuan Zhu, Jiying Liu, Shengze Lu

“…This study proposes a control method that integrates deep reinforcement learning with load forecasting, to enhance the energy efficiency of ground source heat pump systems. …”
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METHODS OF ASSESSMENT OF THE RELATIVE BIOLOGICAL EFFECTIVENESS OF NEUTRONS IN NEUTRON THERAPY by V. A. Lisin

“…Research is conducted for neutron sources differing in the method of producing particles, energy and energy spectrum. …”
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