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  1. 201

    Research on an Intelligent Design Method for the Geometric Structure of Three-Layer Hollow Fan Blades by Jialin Lei, Jiale Chao, Chuipin Kong, Xionghui Zhou

    Published 2025-05-01
    “…The cross-section densification design is carried out to improve the accuracy of wireframe structure and achieve the rapid solid modeling of hollow blades. Finally, the proposed methods are seamlessly integrated into the NX software (version 12), and a three-layer hollow fan blade intelligent design system is developed, which enables the automated design and modeling of the complex geometric structure of the hollow blade under an aerodynamic shape and a large number of design and process constraints.…”
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    Article
  2. 202

    Effect of horizontal shift between fabric layers on the meso-scale-void formation in liquid composite molding by B. Yang, C. Y. Zhao, F. Y. Bi, S. B. Wang, C. Ma, S. L. Wang

    Published 2019-06-01
    “…Then based on the mathematical models of micro and meso flows, the three-dimensional void entrapment processes under different cladding flow modes are studied in detail, a mathematical model for the prediction of meso-scale-void formation is established. …”
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  3. 203

    Prediction of Input–Output Characteristic Curves of Hydraulic Cylinders Based on Three-Layer BP Neural Network by Wei Cai, Yirui Zhang, Jianxin Zhang, Shunshun Guo, Rui Guo

    Published 2025-03-01
    “…In the process of model improvement, a nonlinear adaptive decreasing weight mechanism is introduced to improve the optimization accuracy of the algorithm, facilitating the search for optimal solutions. …”
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  4. 204

    The Use of Mathematical Modeling in Shallow Seismic Data Processing for Detalization of the Heavy Oil Reservoir Structure by R.N. Sitdikov, A.V. Stepanov

    Published 2015-12-01
    “…The process of building a 3D model of the structure of bitumen deposits using the ArcGIS software package and the modeling itself, which is performed using the Tesseral software package, are considered. …”
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    Article
  5. 205

    Layer-by-Layer Multifractal Scanning of Optically Anisotropic Architectonics of Blood Plasma Films: Fundamental and Applied Aspects by Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Mykhaylo Gorsky, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Olexander Salega, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

    Published 2025-02-01
    “…The laser-based Jones-matrix layer-by-layer theziography relies on polarization filtration and the digital recording of interference patterns from microscopic images of blood plasma facies. …”
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    Article
  6. 206

    Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

    Published 2024-01-01
    “…The main purpose of this work is to present the results of validation of finite element models of the deformation process of structural elements made of layered composites with interlayer defects. …”
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  7. 207
  8. 208

    Construction and validation of tertiary models for predicting growth of Salmonella Infantis in chicken liver during a processing chain deviation by Thomas P. Oscar

    Published 2025-04-01
    “…Therefore, a three-phase linear, polynomial regression, tertiary model (TMPR) and a multiple layer feedforward neural network with two nodes in the hidden layer, tertiary model (TMNN) for growth of Salmonella Infantis in chicken liver as a function of dose (101–106), time (0–8 h), and temperature (18–30°C) were constructed, validated, and compared using the criteria of the Acceptable Prediction Zones (APZ) method. …”
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  9. 209
  10. 210

    Joint Exploitation of Physical-Layer and Artificial Features for Privacy-Preserving Distributed Source Camera Identification by Hui Tian, Haibao Chen, Yuyan Zhao, Jiawei Zhang

    Published 2025-06-01
    “…In this paper, we propose a novel privacy-preserving distributed source camera identification scheme that jointly exploits both physical-layer fingerprint features and a carefully designed artificial tag. …”
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  11. 211
  12. 212

    Modeling conduction in composite spheres with time dependent convective boundary conditions - Application to periodic boiling of eggs by Rajai S. Alassar, Husain Al-Attas

    Published 2025-09-01
    “…This study presents a comprehensive analytical solution for heat conduction in a two-layer composite sphere subjected to time-dependent convective boundary conditions. …”
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  13. 213
  14. 214

    THE STOCHASTIC APPROACHES OF PROCESSES’ DESIGN IN VACUUM-PLASMA FORMATION OF NANOSTRUCTURED COATINGS by I. A. Ivanou, D. V. Valeysky, M. K. KasinskI

    Published 2017-07-01
    “…A theoretical model of the adsorption layer formation on the surface of the product with the reliance of the various simultaneous events on the condensation surface is offered.…”
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  15. 215

    Embedded large eddy simulation of boundary layer transition behind a micro-ramp by Yujing Lin, Jian Wang, Andy Augousti

    Published 2024-12-01
    “…However, the effect of three-dimensional isolated roughness element in the process of promoting/suppressing boundary layer transition is far from being fully understood, particularly in the incompressible laminar flow. …”
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  16. 216

    Fully Quantized Matrix Arithmetic-Only BERT Model and Its FPGA-Based Accelerator by Hiroshi Fuketa, Toshihiro Katashita, Yohei Hori, Masakazu Hioki

    Published 2025-01-01
    “…In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. …”
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  17. 217

    A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models by Ashok Yadav, Farrukh Aslam Khan, Vrijendra Singh

    Published 2024-12-01
    “…We also propose an architecture that utilizes advanced transformer models such as BERT, ALBERT, and ELECTRA for pre-processing and encoding, with 1D CNN and neural network layers serving as the classification components. …”
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    Identification and classification of weak layers in the snow by E. S. Klimenko

    Published 2015-04-01
    “…The detailed analysis of scientific publications and field observations led to the creation of a new classification of weak layers. The layers are classified basing on their cohesiveness, the causes of initial disturbance and internal and external processes which form a weak layer. …”
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