Constructive Properties of Union CHTO… CHTO… and Its Semantics by V. N. Zavyalov, Yong Il Song

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Investigation of Criteria for Comparing of Natural and LED Radiation Spectral Distribution by P. S. Bogdan, E. G. Zaytseva, A. I. Stepanenko

“…Their comparison allowed us to conclude that a more complex calculation algorithm, but higher performance for an additive technique than for a subtractive one with the same minimization results.It was found that to simulate the spectral composition of natural radiation using LEDs, it is most effective to use the criteria "standard deviations of the relative differences between the optical and visible spectral components of natural and LED radiation". …”
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B-value Based Damage Source Localization and Classification Using Acoustic Emission (AE) Data for Concrete Cylinders Wrapped with Hybrid FRCM Composites by Nikhil Holsamudrkar, Sauvik Banerjee

“…Whereas, spatial b-value-based damage localization, implemented using a wrapped cylinder algorithm, accurately predicts severe damage locations. …”
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Gearbox Fault Diagnosis Based on Adaptive Variational Mode Decomposition–Stationary Wavelet Transform and Ensemble Refined Composite Multiscale Fluctuation Dispersion Entropy by Xiang Wang, Yang Du, Xiaoting Ji

“…This paper proposes a method for gearbox fault diagnosis based on adaptive variational mode decomposition–stationary wavelet transform (AVMD-SWT) and ensemble refined composite multiscale fluctuation dispersion entropy (ERCMFDE). …”
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A Seasonal Fresh Tea Yield Estimation Method with Machine Learning Algorithms at Field Scale Integrating UAV RGB and Sentinel-2 Imagery by Huimei Liu, Yun Liu, Weiheng Xu, Mei Wu, Leiguang Wang, Ning Lu, Guanglong Ou

“…Subsequently, these 26 features were screened using the random forest algorithm and Pearson correlation analysis. Thirdly, we applied six different regression algorithms to establish fresh tea yield models for each season and evaluated their estimation accuracy. …”
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Research on Parameter Tuning of Electro-Hydrostatic Actuator Position Sliding Mode Controller Based on Enhanced Dynamic Sand Cat Search Optimization Algorithm by Weibo Li, Shuai Cao, Xiaoqing Deng, Junjie Chen, Hao Zhang

“…To overcome these challenges, the EDSCSO algorithm introduces an escape mechanism, a stochastic elite cooperative bootstrap strategy, and a multi-path differential perturbation strategy. …”
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Algorithmic Generation of Realistic 3D Graphics for Liquid Surfaces Within Arbitrary-Form Vessels in a Virtual Laboratory and Application in Flow Simulation by Dimitrios S. Karpouzas, Vasilis Zafeiropoulos, Dimitris Kalles

“…The primary goal is to enable the precise algorithmic generation of 3D graphics representing the surfaces of liquids within various laboratory vessels and, subsequently, the simulation of their flow. …”
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Pseudodynamic Bearing Capacity Analysis of Shallow Strip Footing Using the Advanced Optimization Technique “Hybrid Symbiosis Organisms Search Algorithm” with Numerical Validation... by Arijit Saha, Apu Kumar Saha, Sima Ghosh

“…A recently developed hybrid symbiosis organisms search (HSOS) algorithm has been used to solve this problem. In the HSOS method, the exploration capability of SQI and the exploitation potential of SOS have been combined to increase the robustness of the algorithm. …”
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A Multi-Objective Optimization Design Method for High-Aspect-Ratio Wing Structures Based on Mind Evolution Algorithm Backpropagation Surrogate Model by Jin Nan, Junhua Zheng, Bochuan Jiang, Yuhang Li, Jiayun Chen, Xuanqing Fan

“…This approach was further enhanced by the mind evolution algorithm (MEA) to optimize the solution performance of the surrogate model. …”
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A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength by Qinghe ZHANG, Xiaorui WANG, Chuanbing WANG, Weiguo LI, Fengqiang GONG, Xinsheng ZHANG, Jingguo LI

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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…In an 80:20 train-test split, the decision tree approach outperformed the k -nearest neighbor algorithm for all four output responses, with classification accuracy ranging from 83.33% to 100%. …”
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Cyber Potential Metaphorical Map Method Based on GMap by Dongyu Si, Bingchuan Jiang, Qing Xia, Tingting Li, Xiao Wang, Jingxu Liu

“…Based on Autonomous System (AS) connectivity data, a “node-link” model is created to illustrate cyber interactions and dependencies, forming a foundation for analysis. The GMap algorithm visualizes AS connectivity data of countries, converting it into an intuitive map that clearly illustrates the cyber composition and dynamics. …”
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Artificial intelligence: development in Russia and main beneficiaries by J. A. Konopleva, O. N. Pakova, R. Yu. Grigoryan

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Pseudo code estimation of LSC-DS-CDMA signal with residual frequency offset by Pan Weiyu, Zhao Zhijin

“…Then, the Givens matrix is used to rotate the load matrix composed of eigenvectors, and a whale optimization algorithm combined with random difference and simulated annealing is proposed to find the best rotation angle to minimize variance, so as to estimate the composite code segments of each user and splice them in turn. …”
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INVESTIGATION OF THE CARRYING CAPACITY OF REINFORCED CONCRETE SLABS WITH CRACKS AFTER THEIR REINFORCEMENT WITH COMPOSITE FABRICS BY THE FINITE ELEMENT METHOD USING THE PRINS COMPUT... by V. P. Agapov, K. R. Aydemirov

“…However, the specifics of the assigned problem is that the design sсheme of the structure before the appearance of defects in it and after its amplification with the help of composite materials should change. Result. Taking into account this circumstance, the algorithms of nonlinear calculation of structures under the PRINS program were supplemented with an option that allows changing the parameters of the design scheme in the process of through calculation. …”
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A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt

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Dry sliding tribological characteristics evaluation and prediction of TiB2-CDA/Al6061 hybrid composites exercising machine learning methods by Amit Aherwar, Anamika Ahirwar, Vimal Kumar Pathak

“…Among the models, GPR exhibited the highest predictive accuracy, surpassing other algorithms in forecasting wear behaviour.…”
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Distributed congestion control strategy using network utility maximization theory in VANET by Guozhen TAN, Guodong HAN, Fuxin ZHANG, Nan DING, Mingjian LIU

“…Cooperative vehicle safety system (CVSS) rely on periodical beacons to track neighboring vehicles.High traffic density often causes channel congestion,seriously damaging the performance of CVSS.Existing congestion control strategies aim to ensure the performance in network layer,without considering the service requirements of vehicles in different driving contexts.To solve the problem,a distributed congestion control strategy using network utility maximization (NUM) theory was proposed.First of all,the NUM model for channel resource allocation was introduced.A utility function reflecting vehicle’s safety requirements was proposed in the model.Then under the condition of fixed transmit powers,a optimization problem of channel resource allocation was proposed.Lastly,to solve the optimization problem,a distributed congestion control algorithm named utility-based rate congestion control (UBRCC) algorithm was designed,the algorithm worked out the optimal beaconing rate by updating vehicle’s congestion price,realizing the resource allocation according to vehicle’s safety requirements.Simulation results validate that UBRCC algorithm can efficiently control channel congestion,reduce transmission delay,ensure reliable data transmission and satisfies the requirements of safety applications.…”
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Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals by Liuyi Ling, Zhu Lin, Bin Feng, Liyu Wei, Li Jin, Yiwen Wang

“…Continuous prediction of human joint angles is crucial for enhancing the performance of man-machine cooperative control. This study proposed a random forest (RF) model optimized by the sparrow search algorithm (SSA) for achieving continuous motion prediction of the lower limb knee joint based on surface electromyography(sEMG) under various motion modes. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…According to the operational process of the algorithm given by this paper, a series of experiments are designed to validate the algorithm’s effectiveness. …”
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