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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Multi-objective optimization of heat pump drying process using NSGA-II and response surface methodology: a case study of sludge by Zhaofan Wu, Yongcun Li, Wentao Zhou, Qiang Fu

“…To achieve multiple objectives of sufficient sludge drying effect, high energy efficiency, and short total drying time, this paper proposes an optimization method combining NSGA-II with response surface methodology. …”
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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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An experimental study on the motion-structure coupled characteristics of multi-linked floating unit offshore structure with two different connection conditions by Kangsu Lee, Kichan Sim

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Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

“…A multi-objective optimization method based on non-dominated sorting was incorporated into the crayfish optimization algorithm to optimize the key parameters in VMD, then a variational mode decomposition technique for ECG signal processing based on a multi-objective crayfish optimization algorithm (MOCOA-VMD) was proposed, wherein the spectral kurtosis and KL divergence were determined as the indicators for decomposition. …”
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One-Off Irrigation Combined Subsoiling and Nitrogen Management Enhances Wheat Grain Yield by Optimizing Physiological Characteristics in Leaves in Dryland Regions by Ming Huang, Shuai Zhang, Mengqi Yang, Yuhao Sun, Qinglei Xie, Cuiping Zhao, Kaiming Ren, Kainan Zhao, Yulin Jia, Jun Zhang, Shanwei Wu, Chunxia Li, Hezheng Wang, Guozhan Fu, Muhammad Shaaban, Jinzhi Wu, Youjun Li

“…Irrigation practice, tillage method, and nitrogen (N) management are the three most important agronomic measures for wheat (<i>Triticum aestivum</i> L.) production, but the combined effects on grain yield and wheat physiological characteristics are still poorly understood. …”
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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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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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Random Walk‐Based GOOSE Algorithm for Solving Engineering Structural Design Problems by Sripathi Mounika, Himanshu Sharma, Aradhala Bala Krishna, Krishan Arora, Syed Immamul Ansarullah, Ayodeji Olalekan Salau

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A New Family of Spectral CG-Algorithm by Abbas Al-Bayati, Runak Abdullah

“…A new family of  CG –algorithms for large-scale unconstrained optimization is introduced in this paper using the spectral scaling for the search directions, which is a generalization of the spectral gradient method proposed by Raydan [14]. …”
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Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method by KONG Xiangwei,XIE Xin,WANG Cunwu,SHI Xian

“…However, as the gas content decreases, the impact of different engineering factors on the gas well productivity gradually increases, which helps optimize the main design parameters such as displacement, sand volume, and total liquid volume, enriching the evaluation methods for post fracturing productivity of coal seam pressure.…”
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Optimization of Greenhouse Gas Accounting Methods for Wastewater Treatment Plants in East Chinese Regions: A Comparative Analysis of IPCC and Group Standards Based on 49 Plants in... by Haoyu Wang, Lipin Li, Zhengda Lin, Aliya Abulimiti, Ming Guan, Tianrui Zhao, Yu Tian

“…This study takes Shandong Province as the research object, through large-scale empirical analysis, research method differences, and the annual operation data of 49 sewage treatment plants, for the first time to realize the systematic comparison of multiple methods on the provincial scale. …”
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Optimal Portfolio Allocation with Elliptical and Mixed Copulas by Cemile Özgür, Vedat Sarıkovanlık

“…This research aims to investigate the asset allocation performance of three different optimization methods commonly applied in the literature for a portfolio composed of univariate returns generated from Mixed and Elliptic copulas instead of historical data. …”
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Multi Attribute Neutrosophic Optimization Technique forOptimal Crop Selection in Ariyalur District by Angammal S, Hannah Grace G, Nivetha Martin, Florentin Smarandache

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Structural Optimization Design and Analysis of Interior Permanent Magnet Synchronous Motor with Low Iron Loss Based on the Adhesive Lamination Process by Liyan Guo, Huatuo Zhang, Xinmai Gao, Ying Zhou, Yan Cheng, Huimin Wang

“…On this basis, aiming at the problem of excessive iron loss of the motor, a novel topological structure of the stator and rotor is proposed. With the optimization goal of reducing the motor iron loss and taking the connection port of the air magnetic isolation slot and the gap of the stator module as the optimization variables, the optimized design of the IPMSM with low iron loss is achieved based on the Taguchi method. …”
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Cosmic Evolution Optimization: A Novel Metaheuristic Algorithm for Numerical Optimization and Engineering Design by Rui Wang, Zhengxuan Jiang, Guowen Ding

“…Specifically, the CEO algorithm was compared against ten state-of-the-art metaheuristic algorithms on 29 typical unconstrained benchmark problems from CEC2017 across different dimensions and 13 constrained real-world optimization problems from CEC2020. …”
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EFFICIENCY OF STRUT-FRAMED BEAMS WITH OPTIMAL PARAMETERS by A. K. Yusupov, Kh. M. Muselemov, T. O. Ustarkhanov

“…Various  tables have been compiled that show the efficiency of the strutframed beam with optimal characteristics. Methods. Many numerical examples were carried out, and a pilot design of strut-framed beams with different design characteristics was carried out. …”
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Analysis of Differences in Volatile Components of Five Lauraceae Plants From Different Genera Based on HS-SPME-GC-MS by Zhengjiu Wang, Hao Liu, Anping Liu, Peng Liu, Jiuyang Zhao, Shaoli Fan, Jinhui Wang, Bahetiyar Keremu, Lu Yang, Le Li

“…Therefore, it is essential to find a simple and cost-effective method. By comparing different extraction methods, HS-SPME-GC-MS was selected as the optimal extraction condition. …”
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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation by Liang Xiang, Xiajie Zhao, Jianfeng Wang, Bin Wang

“…However, existing threshold image-segmentation methods suffer from the problem of easily falling into locally optimal thresholds, resulting in poor image segmentation. …”
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