The Optimization Guidance of Hollow Antiresonant Fibers Based on Various Optimization Methods by Lina Guo, Biyou Jiang, Zhiyu Chang, Yu Li, Xueqin Sun, Sukai Wang, Ping Chen, Deqing Niu, Zihan Liu

“…This paper employs five different general-purpose optimization methods to perform parameter optimization on single-layer hollow antiresonant fibers. …”
Get full text

Calculating the Optimal Point Cloud Density for Airborne LiDAR Landslide Investigation: An Adaptive Approach by Zeyuan Liao, Xiujun Dong, Qiulin He

“…In this study, we propose a method to quantify DEM quality by combining the RMSE of elevation and terrain complexity, analyzing the DEM quality error curves constructed with different point cloud densities by a discrete difference peak-seeking method, to determine the optimal ground point density, and then constructing an ICP-NN algorithm for predicting the collected point cloud density. …”
Get full text

Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties by Éva Kenyeres, Alex Kummer, János Abonyi

“…This paper introduces a methodology for handling different types of uncertainties during robust optimization. …”
Get full text

Estimation of Discharge Energy of Lithium-ion Battery for Different Temperatures by FOX-Bidirectional Recurrent Neural Network Method by Göksu Taş

“…In this study, the discharge energy of the lithium-ion battery was estimated by using the FOX- Bidirectional Recurrent Neural Network (Bi-RNN) method for the Dynamic Stress Test (DST) driving cycle method and different temperatures. …”
Get full text

Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting by TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming

“…A combination of modal decomposition and deep learning forecasting methods was introduced to daily runoff forecasting to address the characteristics of unstable and volatile daily runoff series.Firstly,the complete ensemble empirical modal decomposition method was used to decompose the daily runoff time series,so as to obtain the modal components of different frequency components.Secondly,the daily runoff forecasting model was constructed for different modal components based on the long short-term memory neural network (LSTM),and the hyperparameters of the forecasting model were optimized using the grid search parametric optimization algorithm.Finally,the forecasting results of each model were modally reconstructed to obtain daily runoff forecasting results.The daily runoff forecasting of the Yichang hydrological station was taken as an example.Compared with the single LSTM,the RMSE,MAE,and MAPE of the proposed combination model were reduced by 65.02%,58.35%,and 2.88%,respectively.The decomposition effect of the complete ensemble empirical mode decomposition was better than that of the traditional modal decomposition method,which provided a new method and reference for nonlinear and non-stable daily runoff forecasting in a short time scale.…”
Get full text

Optimization Methods for Radon Progeny Measurement Based on the Three-Stage Method by Xiangming Cai, Xuwei Zeng, Fengdi Qin, Jian Shan

“…Therefore, the optimized results of the three-stage method are reasonable and reliable, providing technical support for different radon progeny measurement tasks.…”
Get full text

Optimization of structural parameters by using steels of different strengths by A. K. Yusupov, H. M. Muselemov, R. I. Vishtalov

“…The purpose of the study is to develop design and calculation schemes that can be used in the design of bistal load-bearing structures, ensuring optimization of their parameters by using steels of different strengths.Method. …”
Get full text

Mobility difference index: a quantitative method for detecting human mobility difference by Zhaohui Liu, Rui Li, Jing Cai, Qiushi Hu, Huayi Wu

“…The method quantifies the differences in human mobility by calculating the minimum transformation cost between two sets of origin-destination flows based on optimal transport theory. …”
Get full text

Optimal Determining Air Supply Humidity for Multi-Location Demands Under Different Objectives in an Indoor Moisture Environment: A Comprehensive Method and Case Study by Xiaojun Ma, Shuchen Yu, Xiaoliang Shao, Jiujiu Chen

“…This paper proposes a comprehensive method to address humidity assurance issues in high-precision indoor environments by establishing analytical expressions that link the demand parameters at different locations with air supply parameters. …”
Get full text

Statistical Analysis Method for Optimal Prameters of Telemetry Communication by XIE Jun, WU Sailong, HAO Hang, ZHANG Songwei, WU Ruiqing, SUN Xiangyang

“…The method's proven optimization effectiveness and computational efficiency provide a practical solution for parameter optimization in TLWD.…”
Get full text

Which localization method is optimal in ESWL: fluoroscopy or ultrasonography? by Dursun Baba, Necati Ekici, Arda Taşkın Taşkıran, Yusuf Şenoğlu, Alpaslan Yüksel, Ekrem Başaran, Mehmet Ali Özel, Ahmet Yıldırım Balık

Get full text

To select the optimal immunohistochemical staining method for pigmented melanoma by Juan Lin, Zhijie You, Xin Chen

“…For lightly pigmented melanoma, bleached with 5% H2O2 method optimally balanced tissue preservation and staining reliability. …”
Get full text

An Optimized Microwave-Assisted Extraction and Evaluation of Amino Acids Content and Nutritional Value in <i>Chebulae fructus</i> from Different Origins by Zhiqi Xu, Yan Li, Yuan Shen, Yiwu Wang, Jialing Yu, Xinxin Xiang, Lin Yang, Dan He

“…The microwave digestion method was optimized to extract amino acids from CF, and the differences in amino acids in CF from different origins and different processing states were analyzed and evaluated. …”
Get full text

Pattern synthesis method for arbitrary arrays with desired mainloble response by Dian-fei PAN, Nai-ping CHENG

“…A pattern synthesis method based on adaptive array theory and convex optimization principle was proposed for arbitrary arrays,especially considering the influence of different orientation on array pattern.Firstly,the array pattern with special sideloble shape is obtained by adaptive array theory method; and then,the mainloble pointing to 0° is taken as reference to determine the pattern mainloble with variant steering angle.Finally,the optimal array pattern synthesis with desired mainloble response is converted to a second-order cone programming problem.The resulting optimization problem is nonconvex and is implemented via iterative algorithms of convex optimization,which can be solved using the second-order cone programming method at each iteration.Taking the method developed can obtain satisfied mainlobe response and less synthesized error in sideloble region.Theoretical analyses and simulation results show that the synthe-sized pattern has the same mainloble performance as the desired mainlabole in different orientation,and also the sideloble can maintain the shape to suppress the dynamic interference.…”
Get full text

PSO-FDM (Particle Swarm Optimization-Finite Difference Method)-Based Simulation Model of Temperature and Velocity of Full-Scale Continuous Annealing Furnace by Yang Liu, Qiang Guo, Tieheng Yuan, Yingrui Han, Chao Liu, Wenquan Sun

“…To improve the prediction accuracy for different strip sizes, the PSO optimization algorithm was employed to determine the optimal heat transfer coefficient for each strip size. …”
Get full text

Valorization of Edible Oil Industry By-Products Through Optimizing the Protein Recovery from Sunflower Press Cake via Different Novel Extraction Methods by Christoforos Vasileiou, Maria Dimoula, Christina Drosou, Eleni Kavetsou, Chrysanthos Stergiopoulos, Eleni Gogou, Christos Boukouvalas, Magdalini Krokida

Get full text

Optimization of optimal pressure parameters for filtering chyle plasma under low-temperature conditions by GAO Zhanhai, JI Xiaohua, ZHANG Fumin, HUANG Zhanhua, CHENG Wei

“…[Objective] To explore the optimal pressure parameters for chyle plasma filtration under low-temperature conditions, and to improve the quality of chyle plasma treatment and filtration efficiency by improving experimental methods. …”
Get full text

Hierarchical and optimization methods for the characterization of tomato genotypes by Joicy V. M. Peixoto, Rafaela S. de Almeida, Jaine P. R. da Rocha, Gabriel M. Maciel, Nádya C. Santos, Lucas M. Pereira

Get full text

Linearization method for MINLP energy optimization problems by Anastasiia Zhadan, Alexey Martemyanov, Alexander Allahverdyan, Ovanes Petrosian, Hongwei Gao

“…Abstract Optimal scheduling of battery energy storage system plays crucial part in distributed energy system to provide stability and reduce user costs. …”
Get full text

Solution of clusterization problem by graph optimization methods by I.V. Konnov, O.A. Kashina, E.I. Gilmanova

Get full text