COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

“…Objects: classification models, including the support vector machine, decision tree, random forest algorithm, neural network, multiple regression and their application for automated wine quality assessment. …”
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Hyperspectral proximal sensing for carbonate rocks characterization in the SWIR (Short-Wave Infrared) by Indira Rodríguez Álvarez, Eduardo García-Meléndez, Montserrat Ferrer-Juliá, Wim Bakker, Juncal Altagracia Cruz, Antonio Espín de Gea

“… In this work proximal hyperspectral images are used to make a compositional map of one sample of ornamental carbonate rock (formed by variable content of dolomite and calcite) in terms of mineralogical composition. …”
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Accelerated Transfer Learning for Cooperative Transportation Formation Change via SDPA-MAPPO (Scaled Dot Product Attention-Multi-Agent Proximal Policy Optimization) by Almira Budiyanto, Keisuke Azetsu, Nobutomo Matsunaga

“…A method for cooperative transportation, which required formation change in a traveling environment, is gaining interest. …”
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Artificial Neural Network (ANN) Approach to Predict Tensile Properties of Longitudinally Placed Fiber Reinforced Polymeric Composites including Interphase by Sagar Chokshi, Piyush Gohil, Vijay Parmar, Vijaykumar Chaudhary

“…In the present study, Artificial Neural Network (ANN), a computational tool is used to predict the elastic modulus of a composite of longitudinally placed fiber-reinforced polymeric composite. …”
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Appraisal and analysis on various web service composition approaches based on QoS factors by M. Rajeswari, G. Sambasivam, N. Balaji, M.S. Saleem Basha, T. Vengattaraman, P. Dhavachelvan

“…This study reveals various challenges in the QoS parameter for Web service composition because it is difficult to recognize. We have illustrated the related technology by analyzing QoS parameters based on existing algorithms with composition patterns and compared the results.…”
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Multigrid Finite Element Method in Calculation of 3D Homogeneous and Composite Solids by A.D. Matveev

“…The method has been developed based on the finite element method algorithms using homogeneous and composite three-dimensional multigrid finite elements (MFE). …”
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Simulation Analysis of Temperature Field of Optical Fiber Composite Overhead Ground Wire by Lifeng ZHANG, Xiaohua LI, Wenbin ZHAO

“…The optical fiber composite overhead ground wire (OPGW) has been widely used in high voltage transmission lines. …”
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Non-Invasive Composition Identification in Organic Solar Cells via Deep Learning by Yi-Hsun Chang, You-Lun Zhang, Cheng-Hao Cheng, Shu-Han Wu, Cheng-Han Li, Su-Yu Liao, Zi-Chun Tseng, Ming-Yi Lin, Chun-Ying Huang

“…Accurate identification of active-layer compositions in organic photovoltaic (OPV) devices often relies on invasive techniques such as electrical measurements or material extraction, which risk damaging the device. …”
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Mathematical data processing according to digital image correlation method for polymer composites by Elena M. Strungar, Dmitrii S. Lobanov

“…The paper analyses the numerical algorithms for experimental data processing using a contactless video system Vic-3D, designed for three-dimension analysis of displacement and strain fields, and digital image correlation method. …”
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Computational Strategy for Analyzing Effective Properties of Random Composites—Part I: Conductivity by Vladimir Mityushev, Piotr Drygaś, Simon Gluzman, Nurlan Nauryzbayev, Karlygash Nurtazina

“…It is shown that there is no universal minimum number of inclusions per cell in simulations of random composites. Even minor changes to Random Sequential Addition algorithms lead to different formulas for the effective constants. …”
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Macro-microscopic study on the damage threshold strain of particle-filled polymer composites by Wang Jiaxiang, Qiang Hongfu, Wang Xueren, Wang Zhejun, Li Shiqi

“…This study proposes a damage threshold strain prediction model for typical particle filled polymer composites (composite solid propellants) based on the theory of particle inclusion micromechanics. …”
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Prediction on rock strength by mineral composition from machine learning of ECS logs by Dongwen Li, Xinlong Li, Li Liu, Wenhao He, Yongxin Li, Shuowen Li, Huaizhong Shi, Gaojian Fan

“…This study proposes the use of Random Forest and Transformer algorithms to predict rock strength from Elemental Capture Spectroscopy (ECS) logs. …”
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Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…In this study, rice bran oil and corn oil, whose Raman spectra both hold great similarities with camellia oil, are blended with camellia oil, and the concentration of each composition is predicted by models with varying feature extraction methods and regression algorithms. …”
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Research on Multi-crane Cooperative Micro-motion Control of Combined Gantry Cranes for Turnout Laying and Replacement of High-speed Railways Based on Self-learning by LYU Maoyin, NIU Xuexin, CHEN Qishen, ZHAN Taiping

“…Moreover, considering the flexible nature of chains in the real construction process of combined gantry cranes, a self-learning algorithm is incorporated to facilitate flexible and highly precise multi-crane cooperative micro-motion control. …”
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Green-fitting scheduling equilibrium model of virtual power plant based on cooperative game with improved shapley value under new-type power system by Shuo Zhang, Luming Pang, Yingzi Li, Yuanli Chen, Kangxiang Li, Meixia Zheng

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Issues, Challenges, and Solution Options for On-Grid Multi-Microgrid Game Theory: A Systematic Review by Dimas Jalaluddin Ahmad, Nanang Hariyanto, Umar Khayam

“…Many studies have been conducted on the implementation of game theory approaches in optimizing energy trading and scheduling in multi-microgrid (MMG) systems, both in cooperative and non-cooperative games. This is because game theory is a rich field of study that can illustrate the self-interest nature of each player, in this case, each agent in the MMG system. …”
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Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas by Mengyang Wang, Dong Zhang, Chaoyue Li, Zhaohua Zhang

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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

“…. • Extraction of features, including sequence length, Amino Acid Composition (AAC), Dipeptide Composition (DPC), Tripeptide Composition (TPC), aromaticity, secondary structure fraction, and entropy from protein sequence. • Addresses the data imbalance and improves model generalization, the oversampling technique is applied for data augmentation.The prediction model employs a Deep Recurrent Neural Network (DRNN) optimized by Fractional Addax Optimization 34 Algorithm (FAOA), a hybrid of Addax Optimization Algorithm (AOA) and Fractional Concept (FC), designed to perform 35 influenza virus host prediction. …”
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The algorithm of interaction of the enterprises of fuel and energy complex in implementation with the use of alternative means of payment by O V. Baikova, D. A. Kulakov

“…The structure of the algorithm for building a system of payment interaction of enterprises of the fuel and energy complex has been off red. …”
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Micro-station sleeping algorithm based on coverage area priority in 5G network by Ziren WANG, Yi LI

“…With the maturity of 5G mobile communication technology and the rapid growth of the number of mobile terminals, the problem of intensive energy consumption of 5G wireless communication system base stations is prominent.A micro base station area hierarchical sleep algorithm was proposed.Considering the impact of micro base station load, inter station distance and inter layer cooperation on micro base station sleep, the transitions number of the micro base station in the overlapping coverage area between macro base stations is less, and the priority sleep operation has a good energy-saving effect.The simulation result shows that the energy-saving rate is 23%, which can adapt to different network sizes, and the energy-saving effect is better in large-scale networks.…”
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