Spectral Analysis of Large Finite Element Problems by Optimization Methods by Luca Bergamaschi, Giuseppe Gambolati, Giorgio Pini

“…Numerical results point out that the optimal βk leads to a very cost effective algorithm in terms of CPU time in all the sample problems presented. …”
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Aerodynamic Optimization of a UAV Wing subject to Weight, Geometric, Root Bending Moment, and Performance Constraints by Durmuş Sinan Körpe, Öztürk Özdemir Kanat

“…The sequential quadratic programming algorithm of the MATLAB optimization toolbox is used for the solution of the constrained optimization problems. …”
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MALT-lymphoma of the stomach: clinical presentation, diagnostics and treatment by Ye. V. Ledin, A. P. Seryakov, V. L. Astashov

“…Basing on obtained data, original treatment algorithm was developed, which is proposed to application in clinical practice to provide optimal amount of medical care to the patient.Conclusion. …”
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Laminar Wall Jet Flow and Heat Transfer over a Shallow Cavity by P. Maheandera Prabu, K. P. Padmanaban

“…For higher accuracy, third-order discretization is applied for momentum equation which is solved using QUICK scheme with SIMPLE algorithm for pressure-velocity coupling. Low Reynolds numbers 25, 50, 100, 200, 400, and 600 are assigned for simulation. …”
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Numerical analysis and optimization of crashworthiness of bionic hierarchical thin-walled square tubes by XU Fei, QIN RuiXian, CHEN BingZhi

“…The radial basis function (RBF) model and the genetic algorithm were used for the multi-objective optimization of the BHST4-2 structure, and optimal al parameters of the structure were obtained. …”
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Language experience influences performance on the NIH Toolbox Cognition Battery: A cluster analysis by Ashley Chung-Fat-Yim, Sayuri Hayakawa, Viorica Marian

“…The present study addresses this limitation by using a machine learning algorithm, known as cluster analysis, to identify naturally occurring subgroups of participants with similar language profiles. …”
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Design of Intelligent Recognition English Translation Model Based on Deep Learning by Yuexiang Ruan

“…Moreover, it combined stemming technology and data compression algorithm Byte Pair Encoding (BPE) and proposed a different subword-based word sequence segmentation method. …”
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Investigation of improvements to city areas of importance to the implementation of clean water by Feby Milanie

“…Key findings highlight that the use of sensors to monitor water quality parameters such as pressure, flow, pH, chlorine, and turbidity; the application of the elitist nondominated sorting genetic algorithm (NSGA-II); and active community involvement with government support are effective in improving the quality and distribution of clean water. …”
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Dynamic Gust Load Analysis for Rotors by Yuting Dai, Linpeng Wang, Chao Yang, Xintan Zhang

“…Hence, the widely used Newton-Raphson iteration algorithm is employed to simulate the dynamic gust load. …”
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Study on River System Flood Forecasting Scheme for Longtan Hydropower Station Interval in Hongshui River by DU Yong, FU Yupeng, WEI Yongjiang, LI Zongtai

“…Longtan Hydropower Station is a flood control project in the Pearl River Basin,but there is currently a lack of a comprehensive river system flood forecasting scheme.In order to give full play to the flood control and storage function of Longtan Hydropower Station,tributary control stations such as Leigongtan,Moyang,Pinglihe,Pinghu,and Xianrenqiao are selected,and the key areas of concern are determined through the analysis of important sub-intervals.The river system flood forecasting scheme for the Longtan Hydropower Station interval is constructed by using the Xin'an River three-source runoff generation model,three-source lag routing convergence model,and Maskingen convergence algorithm.The research results show that the proportion of the maximum inflow flood volume of Longtan Hydropower Station is usually in uncontrolled intervals,followed by the tributaries in Guizhou Province (Mengjiang River,Bawang River,Caodu River,and Liudong River),which are the focus of flood forecasting.The total average relative peak flow error and the average relative flood volume error in the river system flood forecasting scheme are both 10%,and the average deterministic coefficients are above 0.75.The overall results are relatively accurate.Therefore,the river system flood forecasting scheme for the Longtan Hydropower Station interval can be applied to real-time flood operation forecasting,and it lays a solid foundation for further improving the “forecast,early warning,rehearsal,and contingency plan” capability.…”
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Recommendations for the development and implementation of a balanced scorecard based on studying the experience of Russian organisations by N. V. Kuznetsova, P. Yu. Leonov

“…The authors of this work state detailed conclusions for each section indicating the detected motives for actions and predicting potential results. The algorithm for formulating recommendations for the development and implementation of the balanced scorecard identified at the beginning of the article finds its step-by-step development within the framework of the ongoing research and is accompanied by reasoned comments based both on previously published sources of information and on provisions proposed by the authors.…”
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An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model by Yuhua Dai

“…The improved random forest (RF) algorithm is used to classify and detect whether the learner’s pronunciation is correct. …”
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Robust Power Designing of Supplementary Damping Controller in VSC HVDC System to Improve Energy Conversion Efficiency of Wind Turbine and Power System Stability by A. Hamidi, J. Beiza, T. Abedinzadeh, A. Daghigh

“…The SDC is designed using a fractional-order PID controller (FOPID) based on the multiobjective bat-genetic algorithm (MOBGA). The simulation results show that the proposed control strategy effectively works in minimizing the torsional and electromechanical oscillations in power system and optimizing the energy conversion efficiency in the wind turbine.…”
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Computational Game Unit Balancing based on Game Theory by Emre Önal, Abdullah Bülbül

“…Matching units against each other is modeled as a symmetric zero-sum game, where unit selection represents a strategy and the error is quantified using payoff values derived from unit parameters. The algorithm takes the initial unit parameters provided by the game designer and optimizes them with minimal changes using gradient descent. …”
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Traceability permissioned chain consensus mechanism based on double-layer architecture by Qingyang DING, Jianming ZHU, Jin ZHANG, Biao SONG, Yanjing XU, Chuanchang JIA, Zheng GAO

“…The blocks in the blockchain are arranged in chronological and historical order,and the blockchain is incapable of modification through data encryption technology and consensus mechanism,which makes product trace ability to be an important application scenario of blockchain.To choose product information traceability technology,not only the feasibility of the technology but also the market attributes of the product and the producer should be considered,which makes the permissioned chain replace the public chain as an important deployment method of product information traceability.In the existing research results,the research on the traceability license chain mainly focuses on mechanism design and framework construction,and the consensus algorithm applicable to product information traceability is rarely studied.In the process of technology of engineering practice,practical byzantine fault tolerance was chosen more in league chain as the consensus of traceability chain mechanism (such as Hyperledger),but with the increasing number of participating nodes of the traceability chain efficiency will be significantly reduced,and the delay time will be significantly improved,resulting in most of the project is still in the stage of experiment.Based on this,a traceability license chain consensus mechanism based on double-layer architecture (DLPCM) is proposed,and its security is analyzed.Participants are divided into two layers on the vertical dimension,and different consensus mechanisms are adopted at different levels according to different deployment modes of blockchain.Finally,the traceability information query mechanism under the consensus mechanism is introduced,an important reference for the development and design of traceability system based on license chain is provided.…”
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Quantifying Spatiotemporal Dynamics of Solar Radiation over the Northeast China Based on ACO-BPNN Model and Intensity Analysis by Xiangqian Li, Zhijun Tong, Enliang Guo, Xiaolong Luo

“…In this study, a new backpropagation neural network (BPNN) model optimized with an Ant Colony Optimization (ACO) algorithm was developed to generate the ACO-BPNN model, which had demonstrated superior performance for simulating solar radiation compared to traditional BPNN modelling, for Northeast China. …”
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Fast agglomerative clustering using approximate traveling salesman solutions by Sami Sieranoja, Pasi Fränti

“…For a dataset of size 1.28 million, the proposed method achieves a speedup factor of 25:1 compared with the best exact implementation of Ward’s method and obtains identical results. The algorithm allows a flexible compromise between clustering quality and running time. …”
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Intelligent reflecting surface design for 6G-assited Internet of things by Zhaorui WANG, Liang LIU, Hang LI, Shuguang CUI

“…In the era of the 6G cellular networks,the base station (BS) should be able to provide seamless connectivity for a large number of Internet of things (IoT) devices distributed in various areas.However,constrained by their locations,some IoT devices may possess unreliable communication channels to the BS due to the obstacles between them.It is a big obstacle on the roadmap towards the massively connected IoT networks in the era of 6G .To tackle this challenge,the possibility was studied to employ the newly emerging technique of intelligent reflecting surface (IRS) for enhancing the strength of the IoT devices’ signals at the BS.Specifically,the transmit power minimization problem in an uplink IoT communication system was focused on,where the overhead for channel estimation was taken into account.On one hand,for the case where the BS was equipped with a small or moderate number of antennas,an iterative algorithm was proposed to jointly optimize the user power allocation,the IRS reflecting coefficients,and the BS beamforming vectors.On the other hand,for the case where the BS had a massive number of antennas,i.e.…”
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New experimental techniques for fracture testing of highly deformable materials by E. Dall’Asta, V. Ghizzardi, R. Brighenti, E. Romeo, R. Roncella, A. Spagnoli

“…Thanks to the implemented algorithm based on a Semi-Global Matching (SGM) approach, it is possible to constraint the regularity of the displacement field in order to significantly improve the reliability of the evaluated strains, especially in highly deformable materials. …”
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Inter-satellite link connection strategy for large-scale low earth orbit satellite networks by YAN Feng, NIE Haojian, XIA Weiwei, SHEN Lianfeng

“…For the large-scale LEO satellite network with a Walker-Delta constellation configuration, a shortest distance inter-satellite routing algorithm was designed based on the proposed ISL connection strategies, and system-level simulations were conducted from the perspectives of geometric topology and packet respectively to evaluate the performance of each connection strategy. …”
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