Modeling magnetohydrodynamic ternary nanofluid flow over rotating porous discs with interfacial morphology effects by Kainat Yasin, M. Zubair Akbar Qureshi, Ali Ovais, Muhammad Waheed Rasheed, Abdu Alameri

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Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN by Yousuf Babiker M. Osman, Wei Li

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SYSTEM ANALYSIS HYDROLITHOSPHERE PROCESSES BESHTAUGORSKY FIELD by V. V. Tsapleva, G. V. Masyutina, S. B. Sizov, T. I. Drovosekova

“…This article describes a systematic analysis hydrolithosphere processes: a mathematical model is developed hydrolithosphere processes Beshtaugorsky field, the mathematical models describing the processes of diffusion of contaminants in ground water that involve the relevant boundary conditions from the operational layer, and also shows the stages of designing distributed control system, the analysis of the closed-loop system.…”
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How Variable Are Cold Pools? by Leah D. Grant, Bastian Kirsch, Jennie Bukowski, Nicholas M. Falk, Christine A. Neumaier, Mirjana Sakradzija, Susan C. van denHeever, Felix Ament

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Parametric Study of Numerically Modelled Delamination Process in a Composite Structure Subjected to Dynamic Loading by Łukasz MAZURKIEWICZ, Krzysztof DAMAZIAK, Jerzy MAŁACHOWSKI, Paweł BARANOWSKI

“…One such problematic field is to model failure of a com- posite, and especially the delamination process. …”
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Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process by Jun Zhang, Da-Yong Luo

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Modeling of armature melting and erosion process in high speed electrical sliding contact with rough surface by Xiaoquan Lu, Shaowei Liu, Xiangyu Du, Tianyou Zheng, Kefeng Yang

“…The study also proposed a numerical computational method for fully implicit fast iterative tracking of the moving boundary of the molten layer, and systematically analyzed the melting process. …”
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Network Management System's Data Management Layer Based on Big Data Technology by Wei Li

“…Data management layer is the core of data processing and management in network management system.The current situation and problems of network management system was introduced.To break the isolation between the professional network management system and promote data sharing,data domain should further be subdivided and the data model should be reconstructed,and technical framework of Hadoop+MPP was a better choice.The direction for the planning and design of the network management system was pointed out.Finally,the relation of data management layer platform and enterprise wide data sharing service platform was discussed.…”
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Secure channel estimation model for cognitive radio network physical layer security using two-level shared key authentication by K. Saravanan, K. B. Gurumoorthy, Allwin Devaraj Stalin, Om Prakash Kumar

“…The security models for sensing and beamforming reduce the impact of adversaries such as eavesdroppers in the signal processing layer. …”
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A Generic Modeling Method of Multi-Modal/Multi-Layer Digital Twins for the Remote Monitoring and Intelligent Maintenance of Industrial Equipment by Maolin Yang, Yifan Cao, Siwei Shangguan, Xin Chen, Pingyu Jiang

“…The DT model contains a multi-modal digital model, a multi-layer status model, and an intelligent interaction model driven by a kind of human-readable/computer-deployable event-state knowledge graph. …”
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TECHNOLOGY OF LASER CUTTING OF SILICON WAFERS INTO ORGANIC LIGHT-EMITTING DIODE CHIPS by V. S. Kondratenko, V. I. Ivanov

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Simulation of Drying‐Rewetting Processes in Numerical Groundwater Models Using a New Picard Iteration‐Based Method by Chuiyu Lu, Wen Lu, Qingyan Sun, Xin He, Lingjia Yan, Tao Qin, Chu Wu, Shangqi Han, Zhenjiang Wu, Weichen Wu

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Prediction of Cutting Tool Stability Based on Temperature Modelling in Power Skiving Gear Cutting Process by Hrytsay Ihor, Slipchuk Andrii, Bosansky Miroslav

“…The temperature on the teeth of skiving cutters has been studied using comprehensive interlinked mathematical and graphical models that include 3D shear layers and simulation of contact, deformation, force and thermal processes during gear cutting. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…Abstract Deep learning is transformed by a hybrid model combining text and image processing in a transforming approach to categorization chores. …”
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Study on the Impact Mitigation Effect of Artificial Rock Backfill Layers for Submarine Pipelines Based on Physical Model Tests and Numerical Simulations by Guixi Jiang, Long Yu, Yunrui Han, Chunhong Hu, Dayong Zhang, Qing Yang

“…The results show a good agreement between the physical model tests and numerical simulation studies, revealing several factors that influence the mitigation effect of the rock protection layer. …”
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Wind Tunnel Tests and Modeling Analysis of Dynamic Boundary Layer Transition on a Blunt Cone with Continuously Increasing Reynolds Number by Shiyu ZHANG, Yan ZHANG, Jiajian ZHOU, Junbo ZHAO, Zengliang FU, Cheng SU

“…Based on the dynamic boundary layer transition test technology and continuous-Reynolds-number-increasing wind tunnel test technology, wind tunnel tests of dynamic boundary layer transition with continuously increasing Reynolds number were performed using blunt cone models with half-cone angle of 9°. …”
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Modeling of the Growth Kinetics of Boride Layers in Powder-Pack Borided ASTM A36 Steel Based on Two Different Approaches by M. Ortiz-Domínguez, O. A. Gómez-Vargas, G. Ares de Parga, G. Torres-Santiago, R. Velázquez-Mancilla, V. A. Castellanos-Escamilla, J. Mendoza-Camargo, R. Trujillo-Sánchez

“…An indispensable tool to choose the suitable process parameters for obtaining boride layer of an adequate thickness is the modeling of the boriding kinetics. …”
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A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery by Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN

“…A total of 23 spectral features (SFs; five original spectrum bands, 17 vegetation indices and the gray scale of the RGB image) and eight texture features (TFs; contrast, entropy, variance, mean, homogeneity, dissimilarity, second moment, and correlation) were selected as inputs for the models. Six machine learning methods, i.e., multiple stepwise regression (MSR), support vector regression (SVR), gradient boosting decision tree (GBDT), Gaussian process regression (GPR), back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were compared for the retrieval of winter wheat LAI, CPP and CNC values, and a double-layer model was proposed for estimating CNC based on LAI and CPP. …”
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Modeling and Simulation for Predicting Thermo-Mechanical Behavior of Wafer-Level Cu-PI RDLs During Manufacturing by Xianglong Chu, Shitao Wang, Chunlei Li, Zhizhen Wang, Shenglin Ma, Daowei Wu, Hai Yuan, Bin You

“…The fineness and complexity of structures, combined with the temperature-dependent and viscoelastic properties of organic materials, make it increasingly difficult to predict the thermo-mechanical behavior of wafer-level Cu-PI RDL structures, posing a severe challenge in warpage prediction. This study models and simulates the thermo-mechanical response during the manufacturing process of Cu-PI RDL at the wafer level. …”
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CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting by Zhenkai Qin, Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Xiaochuan Yu, Jingxuan Jiang

“…The CMDMamba model employs a dual-layer Mamba structure that effectively captures price fluctuations at both the micro- and macrolevels in financial markets and integrates an innovative Dual Convolutional Feedforward Network (DconvFFN) module. …”
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