NUMERICAL RESEARCH OF THE MOISTURE CONDENSATION ELIMINATION IN THE CABIN OF THE UNIFIED TECHNOLOGICAL ELECTRIC TRANSPORT VEHICLE by N. M. Filkin, A. M. Tatarkin

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Data Siting and Capacity Optimization of Photovoltaic–Storage–Charging Stations Considering Spatiotemporal Charging Demand by Dandan Hu, Doudou Yang, Zhi-Wei Liu

“…The research results indicate that the spatiotemporal distribution characteristics of different charging demands determine whether a charging station can become a PSCS and the optimal capacity of PV and battery within the station, rather than a fixed configuration. …”
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Multi‐Objective Optimization Models for the Design of Water Distribution Networks by Exploring Scenario‐Based Approaches by M. C. Cunha, R. Magini, J. Marques

“…The increasing number of water demand data sets offers opportunities to improve the traditional deterministic design approaches of WDNs by combining statistical and optimization methods. Robust optimization (RO) takes demand uncertainty into account by studying solutions that perform well under any possible demand scenario, that is, any possible realizations of this variable in the lifetime of a WDN. …”
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Optimization of Relay Node Deployment in Wireless Sensor Communication Networks Based on IGA-RNDP Algorithm by Shubo Xu, Cheng Zhong

“…The statistically significant differences existed between the research method and other algorithms.…”
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Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach by João P. V. de Cesaro, Mauro A. S. S. Ravagnani, Fernando D. Mele, Caliane B. B. Costa

“…However, these benefits are diminished by fouling in heat exchangers (HEXs). Current methods for optimizing cleaning schedules often report high computation times due to the transient nature of the fouling process and do not consider shell-side fouling, which can be significant for some oil fractions. …”
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DGA-ACO: Enhanced Dynamic Genetic Algorithm—Ant Colony Optimization Path Planning for Agribots by Zhenpeng Zhang, Pengyu Li, Shanglei Chai, Yukang Cui, Yibin Tian

“…Simulations in different scenarios show that DGA-ACO outperforms Dijkstra, A*, genetic algorithm, ant colony optimization, and other state-of-the-art methods. …”
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Optimization of the Initial Parameters of the Utilization Circuit of Cogeneration Combined Cycle Plant of Two Pressure Levels by Kalyutik A.A., Treshchev D.A., Treshcheva M.A.

“…This article is devoted to optimization of parameters and structure of the industrial-heating vapor-gas facilities (HVGF). …”
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Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…Results demonstrate improvements in coverage optimization and reduction of node deployment compared to existing methods. …”
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Load Frequency Control Optimization for Hydroelectric Systems Based on Type-II Fuzzy Deep Learning by Ghanshyam G. Tejani, Sumit Kumar

“…This paper will propose a novel technique for optimizing hydroelectric (hydropower plants) on a small scale based on load frequency control that uses the self-tuning fuzzy proportional derivative method. …”
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Enhancing Spatial Legibility through Building Layout Optimization: The Case of Erbil City Shopping Malls by Sally Ghanim, Faris Mustafa

“…This paper investigates the integration of Architectural Design Optimization (ADO) into architectural design to improve shopping mall layouts. …”
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Experimental Investigation on Impact of EGR Configuration on Exhaust Emissions in Optimized PCCI-DI Diesel Engine by Getachew Alemayehu, Ramesh Babu Nallamothu, Deresse Firew, Rajendiran Gopal

“…Methanol port injection, dieseline direct injection, advanced injection timing, and different EGR rates were adapted and optimized on the baseline engine. …”
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Problems of optimization and the experience of making medical decisions at the admission of patients with thromboembolism of the branches of the pulmonary artery by M. A. Mel'nikov, S. E. Katorkin, M. Yu. Kushnarchuk, O. E. Kushnarchuk

“…Analysis of existing practices of making medical decisions upon admission of patients with PE to a multidisciplinary hospital, as well as development of recommendations for their optimization. Materials and methods. An analysis of modern Russian and foreign clinical guidelines, literary scientific sources, statistical reports, and data on medical care standards for multidisciplinary medical organizations concerning the organization of diagnostics and treatment of PE was conducted. …”
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Towards an Optimized and Sustainable Blood Supply Chain Network under Uncertainty: A Literature Review by Ana Torrado, Ana Barbosa-Póvoa

“…The main contributions are: (1) a comprehensive literature revision connected with sustainability goals; (2) capturing insights to answer different questions — that until now have not yet been answered and (3) identifying challenges related to modeling aspects, risk, uncertainty, complexities, solution methods, and regulatory aspects. …”
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QELPS Algorithm: A Novel Dynamic Optimization Technology for Quantum Circuits Scheduling Engineering Problems by Zuoqiang Du, Xingjie Li, Hui Li

“…This approach effectively reduces quantum gate conflicts found in traditional methods and optimizes execution order, leading to better computational efficiency and circuit performance. …”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Abstract This research examines the application of eight different machine learning (ML) algorithms for predicting the compressive strength of high-performance concrete (HPC). …”
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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Then, a SOH estimation method based on the XGBoost algorithm is established, and the model’s hyper-parameters are tuned using the Bayesian optimization algorithm (BOA) to enhance the adaptiveness of the proposed estimation model. …”
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Bayesian Optimization-Based State-of-Charge Estimation with Temperature Drift Compensation for Lithium-Ion Batteries by Zhen-Rong Yuan, Ke-Feng Huang, Cai-Hua Xu, Jun-Chao Zou, Jun Yan

“…For this reason, this study proposes an algorithm focusing on Bayesian optimization-based adaptive extended Kalman filter (BO-AEKF) to enhance the numerical accuracy and stability of state-of-charge (SOC) estimation for lithium batteries under various operating conditions. …”
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Operational Optimization for a Regional Multi-Energy System Considering Thermal Quasi-Dynamic Characteristics by Xingying Chen, Le Bu, Cheng Chen, Lei Gan, Kun Yu

“…By comparing the operating results of different adjustment methods, a quality adjustment method is found to have the most flexibility for regional heating system control. …”
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Risk assessment and support optimization for cable trench construction in soft soil areas in Zhejiang province by Linlin Zhang, Rong Bian, Keji Chen, Guoqiang Li, Miaosong Gu

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A study of morpho-phonological processes in the Zanjani dialect of Azerbaijani Turkish based on optimality theory by farnaz ebadi, Mohammad Reza Oroji, Sakine Jafari, Mehri Talkhabi

“…Two types of constraints are examined in this theory: Markedness Constraint and Faithfulness Constraint. Optimality Theory is a method of interpreting constraints, which can be used as a tool in linguistic theories. …”
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