Evaluation and selection of hydro power plant location using the Analytical Hierarchy Process-TOPSIS method by N. Amani

“…This study aims to evaluate the accurate location planning of power plant establishment for electricity production in western Mazandaran.METHODS: The Analytical Hierarchy Process is used to assess feasibility, identify the optimal location, and determine the most suitable type of green energy plant. …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

“…The method first constructs a multi-axis robotic kinematic model to provide constraint conditions. …”
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A Lightweight Method for Detecting Bearing Surface Defects Based on Deep Learning and Ontological Reasoning by Xiaolin Shi, Haisong Xu, Han Zhang, Yi Li, Xinshuo Li, Fan Yang

“…Bearing as a critical component of machinery and equipment, its state of health directly affects the operating efficiency and security of the equipment. Therefore, the quality control of bearings must be very strict. …”
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Optimal Temperature Calculation for Multicriteria Optimization of the Hydrogenation of Polycyclic Aromatic Hydrocarbons by NSGA-II Method by A. A. Alexandrova, S. N. Koledin

“…Multicriteria optimization, taking into account contradicting criteria, is used to improve production efficiency, reduce costs, improve product quality and environmental safety of processes. …”
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Prediction of Flexural Ultimate Capacity for Reinforced UHPC Beams Using Ensemble Learning and SHAP Method by Zhe Zhang, Xuemei Zhou, Ping Zhu, Zhaochao Li, Yichuan Wang

“…Finally, a Shapley additive explanations (SHAP) method is employed to interpret several EL models, thereby substantiating their reliability and determining the extent of influence exerted by each feature on the prediction results. …”
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DEVELOPMENT OF THE «RISKS - OPPORTUNITIES* MATRIX FOR ASSESSING STRATEGIC RISKS AND OPPORTUNITIES OF THE CHEMICAL INDUSTRY by N. Solovyova

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Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis by HUANGXubo, HUANGLei, AIDan, YANGQiu, YAOLinpeng

“… Aiming at the problems of high cost and low efficiency of manual calibration of low-voltage distribution network topology , a topology identification method of low-voltage distribution network based on GIS and voltage waveform correlation analysis is proposed. …”
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Application of various canopy resistance calculation methods in vineyard evapotranspiration simulation at daily scale in Northwest China by Jingying Zhang, Dianyu Chen, Xiaotao Hu, Lucheng Qiu, Shujian Wang, Xuanrong Zhu, La Zhuo, Dongyan Zhang, Linzhe Wu, Linlin Zhang

“…The accuracy evaluation indicators included relative error (MRE, %), coefficient of determination (R2) and Wilmott consistency coefficient (D). …”
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Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet by Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen

“…Current coal CT image fracture segmentation faces multiple challenges, including complex fracture morphology, difficulties in micro-fracture detection, and similar gray values between fractures and coal matrices, resulting in low efficiency of traditional segmentation methods. Therefore, this paper proposes CBAM-Unet (Convolutional Block Attention Module-Unet), an improved network model for coal body fracture extraction based on U-Net. …”
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On a Method for Calculating Bending and Shear Vibrations of a Porous Piezoelement in the Low-Frequency Region by A. N. Soloviev, V. A. Chebanenko, P. A. Oganesyan, E. I. Fomenko

“…The objective of this work was to develop an applied method for calculating bending and shear vibrations of piezoceramic plates, including porous ones.Materials and Methods. …”
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The Validation of Chromatographic Methods in the Detection of Cocaine and Diluents in Drugs Seized by the Civil Police in the State of Espírito Santo by Karoline P. Miossi, Thays C. Valin, Ramon R. T. Bottocim, Bruno Q. Araújo, Wanderson Romão, Eustaquio V. R. de Castro, Valdemar Lacerda Jr., Alvaro Cunha Neto

“…Due to the validated methods, it was possible to determine the LoD and LoQ for the cocaine present in the samples, in addition to identifying some diluents, such as caffeine and phenacetin. …”
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COMPARING THE PERFORMANCE OF DIFFERENT WEED CONTROL METHODS UNDER DRY LAND FARMINIG SYSTEMS IN NORTH IRAQ by K.E. allaaf

“…Weed contol study on fallow field was condected during growing season 2009/2010 at field of agriculture college,Mosul university to determine the efficiency of different weed control methods (plowing by disk plow,sprayind paraquat herbicide,plowing and spraying), the frequency of controlling (once,twice) and the duration time of weed samples taken from the field (13 April,27April,11May) on narraw and broadleaf weed control in dry land farming,The results showed that a significant effect for treatment(disk plow+paraquat herbicide)and plowing by disk plow. …”
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Research on Park Perception and Understanding Methods Based on Multimodal Text–Image Data and Bidirectional Attention Mechanism by Kangen Chen, Xiuhong Lin, Tao Xia, Rushan Bai

“…Experimental results show that compared to traditional methods such as residual network (ResNet), recurrent neural network (RNN), and long short-term memory (LSTM), the proposed model achieves significant advantages across multiple evaluation metrics, including mean squared error (MSE), mean absolute error (MAE), root mean squared error (RMSE), and the coefficient of determination (R²). …”
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Methods to quantify soft tissue-based cranial growth and treatment outcomes in children: a systematic review. by Sander Brons, Machteld E van Beusichem, Ewald M Bronkhorst, Jos M Draaisma, Stefaan J Bergé, Jan G Schols, Anne Marie Kuijpers-Jagtman

“…A quality assessment instrument was used to determine methodological quality. Methods used in studies with good methodological quality were assessed for reliability expressed as the magnitude of the measurement error and the correlation coefficient between repeated measurements.…”
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Methods to quantify soft-tissue based facial growth and treatment outcomes in children: a systematic review. by Sander Brons, Machteld E van Beusichem, Ewald M Bronkhorst, Jos Draaisma, Stefaan J Bergé, Thomas J Maal, Anne Marie Kuijpers-Jagtman

“…A quality assessment instrument was used to determine the methodological quality. Methods, used in studies with good methodological quality, were assessed for reliability expressed as the magnitude of the measurement error and the correlation coefficient between repeated measurements.…”
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Modeling and Validation of Acoustic Comfort for Electric Vehicle Using Hybrid Approach Based on Soundscape and Psychoacoustic Methods by Keysha Wellviestu Zakri, Raden Sugeng Joko Sarwono, Sigit Puji Santosa, F. X. Nugroho Soelami

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Prediction and Analysis of Rice Production and Yields Using Ensemble Learning Techniques by Yudha Islami Sulistya, Aina Musdholifah, Chrissandy Sapuletea, Elsi Titasari Br Bangun, Hizbullah Hamda, Sarah Anjani, Abednego Dwi Septiadi

“…For instance, the ensemble model for predicting area harvested, combining Model 6 (linear regression) and Model 10 (ARIMA), achieved  of coefficient of determination outperforming the individual models. …”
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Automated Vertebral Bone Quality Determination from T1-Weighted Lumbar Spine MRI Data Using a Hybrid Convolutional Neural Network–Transformer Neural Network by Kristian Stojšić, Dina Miletić Rigo, Slaven Jurković

“…In this work, an automatic method for determining the VBQ is proposed, in which the ROIs are obtained using a trained neural network model. …”
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Estimation of Silage Maize Plant Moisture Content Based on UAV Multispectral Data and Ensemble Learning Methods by Xuchun Li, Jixuan Yan, Caixia Huang, Weiwei Ma, Zichen Guo, Jie Li, Xiangdong Yao, Qihong Da, Kejing Cheng, Hongyan Yang

“…The standalone models demonstrated coefficient of determination (R²) values ranging from 0.43 to 0.69, with root mean square error (RMSE) spanning 0.61% to 1.43%. …”
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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem by Yi Chang, Ming Dong, Lihong Fan, Bochao Kang, Weikai Sun, Xiaofeng Li, Zhang Yang, Ming Ren

“…The P waves, PR intervals, QRS complex, and T waves in the simulated waveforms were within the normal clinical range, and the distribution trend of the simulated body surface potential mapping was consistent with the clinical data. The coefficient of determination R2 between the reconstruction results of all the algorithms and the true value is above 0.80, and the mean absolute error is below 2.1 mV, among which the R2 of long short-term memory network is about 0.99 and the mean absolute error about 0.5 mV. …”
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