Solar Irradiance Prediction Method for PV Power Supply System of Mobile Sprinkler Machine Using WOA-XGBoost Model by Dan Li, Jiwei Qu, Delan Zhu, Zheyu Qin

“…The prediction accuracy and stability of the proposed method are then evaluated for different input parameters through training and testing. …”
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Task Allocation Method for Emergency Active Debris Removal Based on the Fast Elitist Non-Dominated Sorting Genetic Algorithm by Hao Lei, Xiang Zhang, Wenhe Liao, Guoning Wei, Shuhui Fan

“…In order to address the heterogeneous problem of satellites and task coupling constraints, a multi-type chromosome coding strategy is developed. To evaluate different allocation strategies, three optimization objectives—time consumption, fuel consumption, and task balance—are introduced. …”
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The Optimization Design of Variable Valve Parameters for Internal Combustion Engines Considering the Energy Consumption of a Composite Electromagnetic Valve Mechanism by Xinyu Fan, Juyi Han, Jie Yin, Li Zheng, Wei Shao

“…First, it analyzes the effects of different valve timing parameters and drive modes on engine performance; second, a multi-objective game theory optimization algorithm is employed to optimize the valve timing parameters and obtain the optimal solution set; finally, taking into account the energy consumption of the valve mechanism, engine emissions, and performance, a control strategy for valve timing parameters is developed based on an entropy-weighted method combined with a superiority and inferiority solution distance analysis. …”
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A Multi-Step Topological Optimization Approach for Spacer Shape Design in Double-Sided SiC MOSFET Power Modules Considering Thermo-Mechanical Effects by Yuhang Guo, Ke Chen, Wentao Jiang, Longnv Li, Gaojia Zhu

“…Among the optimization approaches, topology optimization (TO) methods have the merit of generating innovative spacer shapes, thereby maximizing the buffering effects. …”
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A New Spectral Three-Term Conjugate Gradient Method with Random Parameter Based on Modified Secant Equation and Its Application to Low-Carbon Supply Chain Optimization by Guoling Zhou, Yueting Yang, Mingyuan Cao

“…Furthermore, the new method has been successfully applied to the optimization of low-carbon supply chain.…”
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PCA Weight Determination-Based InSAR Baseline Optimization Method: A Case Study of the HaiKou Phosphate Mining Area in Kunming, Yunnan Province, China by Weimeng Xu, Jingchun Zhou, Jinliang Wang, Huihui Mei, Xianjun Ou, Baixuan Li

“…The research results show the following: (1) compared with other methods, the PCA-based interferometric pair optimization method significantly improves the selection performance. …”
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A Sensor Data Prediction and Early-Warning Method for Coal Mining Faces Based on the MTGNN-Bayesian-IF-DBSCAN Algorithm by Mingyang Liu, Xiaodong Wang, Wei Qiao, Hongbo Shang, Zhenguo Yan, Zhixin Qin

“…In the context of intelligent coal mine safety monitoring, an integrated prediction and early-warning method named MTGNN-Bayesian-IF-DBSCAN (Multi-Task Graph Neural Network–Bayesian Optimization–Isolation Forest–Density-Based Spatial Clustering of Applications with Noise) is proposed to address the challenges of gas concentration prediction and anomaly detection in coal mining faces. …”
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A preliminary study: firstly optimisation of the <i>in vitro</i> biofilm formation method in <i>Trichosporon asahii</i> strains isolated from patients in TÜrkiye by Ayaz Sinem, E. Sevgi

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Optimization of self-sufficient hybrid renewable energy source fed BWRO desalting plant through fuzzy AHP and VIKOR MCDM techniques by D. Suriya kumari, P.S. Manoharan, K. Chidambarathanu, J. Vishnupriyan

“…The Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and Vlkriterijumsko KOmpromisno Rangiranje (VIKOR) methods are utilized for a thorough exploration of the significance in selecting the optimal configuration and size for establishing a BWRO plant. …”
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Different strokes: differences in the characteristics and outcomes of BCVI and non-BCVI strokes in trauma patients by Lillian S Kao, Charles E Wade, Xu Zhang, Bryan A Cotton, Sean I Savitz, Michelle K McNutt, Cedar Slovacek, David Rosenbaum, Hari Kishan Reddy Indupuru, John Harvin

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A Combination of Two Conjugate Gradient Methods Under A New Line Search with its Application in Image Restoration Problems by Maiza Asma, Ziadi Raouf, Saleh Mohammed A., Almaymuni Abdulgader Z.

“…Furthermore, the proposed algorithm is applied for restoring images with different noise levels.…”
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An overview of the research on the correlation between solar energy utilization potential and spatial morphology by Dexin Li, Xiurong Cui, Ligang Shi, Yuan Li

“…This paper explores the internal relationship between solar energy potential assessment and spatial form indicators from three aspects: research progress related to solar energy utilization potential, its correlation with spatial form indicators, and spatial form optimization methods and frameworks. According to the corresponding categories of different indicators, the research conclusions and effectiveness are summarized from three aspects: overall planning, group layout and architectural form, aiming to provide theoretical reference for urban sustainable development. …”
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Investigating the Impact of Different Oil Production Processes on the Quality and Flavor Characteristics of Hainan Camellia Oil Based on E-nose, GC-MS, and GC-IMS Analyses by Tao LAN, Lipin CHEN, Tao WANG, Meizhen XIE, Weimin ZHANG, Yonghuan YUN, Liangxiao ZHANG

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Review on Research and Development of Magnetic Bearings by Yuanhao Du, Gan Zhang, Wei Hua

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Differentiated Energy Storage Planning Method of Provincial Power Grids Based on Multi-partition Time Series Production Simulation by Qian DAI, Jian ZHANG, Junling WU, Libo ZHANG, Xiaohui QIN, Yantao ZHANG, Yanqin NIU

“…Then according to this software, an optimal configuration method for energy storage capacity is proposed, with the minimum investment cost of energy storage as the objective function, after considering the differences in assessment objectives and tie-line transaction constraints of each partition. …”
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Optimal Load Dispatch for Hydro Power Plants. by Nkwasibwe Wilber

“…The solution is obtained by comparing the amount of water discharged by each generating unit for the old approach currently being used by power plant operators and after comparing, a new approach is suggested in this report for optimization. The optimization method used is the lambda method and the software used is Matlab which gives the values of load power to be generated by each generating unit.…”
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Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms by Gyan Singh, Saptadeep Biswas, Absalom El-Shamir Ezugwu, Vladimir Simic, Uttam Kumar Bera, Kashif Saleem, Laith Abualigah

“…It provides an effective solution for addressing complex real-world optimisation problems across different domains.…”
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Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution by Prabha Umapathy, C. Venkataseshaiah, M. Senthil Arumugam

“…This paper proposes an efficient method to solve the optimal power flow problem in power systems using Particle Swarm Optimization (PSO). …”
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The Impact of Automatic Exposure Control Technology on the In Vivo Radiation Dose in Digital Mammography: A Comparison Between Different Systems and Target/Filter Combinations by Ahmad A. Alhulail, Salman M. Albeshan, Mohammed S. Alshuhri, Essam M. Alkhybari, Mansour A. Almanaa, Haitham Alahmad, Khaled Alenazi, Abdulaziz S. Alshabibi, Mohammed Alsufayan, Saleh A. Alsulaiman, Maha M. Almuqbil, Mahmoud M. Elsharkawi, Sultan Alghamdi

“…In this study, we aimed to determine the effect of various mammographic technologies on the in vivo mean glandular doses (MGDs) that are received in clinical settings. <b>Methods</b>: The MGDs and applied acquisition parameters from 194,608 mammograms, acquired employing AEC using different digital mammography systems (GE, Siemens, and two different models of Hologic), were retrospectively collected. …”
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Inversion Method Based on Temporal Convolutional Networks for Random Ice Load on Conical Offshore Platforms by Wei Li, Ya Guo, Shuzhao Li, Yang Gao, Yan Qu

“…To improve the model’s generalization ability, its hyperparameters are optimized using particle swarm optimization (PSO). …”
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