Search alternatives:
structured » structural (Expand Search)
structures » structural (Expand Search)
Showing 861 - 880 results of 58,685 for search '(structured OR (structures OR structure)) modeling', query time: 0.32s Refine Results
  1. 861
  2. 862
  3. 863

    Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure by Guiling Fan, Shaojun Chen

    Published 2024-01-01
    “…As a result, the study suggests a model for detecting anomalies in network security that is based on the stabilized layer normalized attention unit structure. …”
    Get full text
    Article
  4. 864

    The Reliability Analysis of a Turbine Rotor Structure Based on the Kriging Surrogate Model by Haiwei Lin, Liang Yang, Hong Bao, Feng Zhang, Feifei Zhao, Chaoxin Lu

    Published 2025-07-01
    “…First, a parametric model of the turbine rotor was established. This parametric model was subsequently applied in a multifactor fluid–structure interaction model used to analyze the working performance of the turbine rotor. …”
    Get full text
    Article
  5. 865

    Tracking of Maneuvering Targets Using a Variable Structure Multiple Model Algorithm by Le Minh Hoang, Aleksandr A. Konovalov, Dao Van Luc

    Published 2023-07-01
    “…To overcome these problems, multiple model algorithms with a variable structure (VSMM) were proposed. …”
    Get full text
    Article
  6. 866
  7. 867

    Computational Model of Outer Circle and Inner Ellipse Shield Tunnel Lining Structure by Shuancheng Gu, Guanlin Sun, Peili Su

    Published 2021-01-01
    “…To adapt to the unevenness of the stratum load, in this study, we propose a new shield tunnel lining structure—outer circle and inner ellipse shield tunnel lining structure—whose outer contour remains circular and the inner contour shape of the structure is designed according to the load conditions. …”
    Get full text
    Article
  8. 868

    Contextualizing Innovation Investor Behaviour Through Structural Simulation Modelling of Influential Factors

    Published 2025-04-01
    “…This study aims to examine the interconnections between self-efficacy, self-determination, and intrinsic motivation among individual investors; to delineate the relationships between intrinsic and extrinsic motivation, investor attitudes, perceived risk, and loyalty; and to develop a conceptual model that synthesizes these relationships. The research methodology is based on interpretive structural modelling (ISM), ensuring a systematic exploration of factor interdependencies. …”
    Get full text
    Article
  9. 869

    Noise Exposure and Job Stress – a Structural Equation Model in Textile Industries by Milad ABBASI, Saeid YAZDANIRAD, Ahmad MEHRI, Rohollah FALLAH MADVARI, Ahad ALIZADEH, Maryam GHALJAHI, Mohsen FALAHATI

    Published 2020-11-01
    “…The aim of this study was to model the interactions between independent and mediating variables and job stress using structural equation modeling. …”
    Get full text
    Article
  10. 870
  11. 871
  12. 872

    THE UTILIZATION OF STRUCTURAL EQUATION MODELLING TO DETERMINE CASUALITY ON CONSUMER DECISION OF E-WALLET by Hartati Hartati, Imelda Saluza, Iisnawati Iisnawati, Teguh Teguh

    Published 2024-10-01
    “…These criteria are used to evaluate their efficacy in persuading customers to adopt an E-Wallet. Structural Equation Modeling (SEM) is used to assess the causal link between e-marketing mix items and customer decisions to use E-Wallet. …”
    Get full text
    Article
  13. 873
  14. 874
  15. 875

    Influence of dark matter on the structure of strange quark stars in one-fluid model by J. Sedaghat, G. H. Bordbar, M. Haghighat, S. M. Zebarjad

    Published 2025-03-01
    “…Abstract This work studies the influence of scalar dark matter on the structural properties of strange quark stars (SQS) within a one-fluid framework, considering Yukawa interactions between dark matter and quark matter. …”
    Get full text
    Article
  16. 876

    Information hiding algorithm based on mapping and structure data of 3D model by Shuai REN, Zhen WANG, Dongxu SU, Tao ZHANG, Dejun MU

    Published 2019-05-01
    “…The existing 3D information hiding schemes are not robust enough against the joint attacks,as a result the secret information will be vulnerable and cannot be extracted correctly.In order to solve the above problem,an information hiding algorithm based on mapping and structure data of 3D models was proposed.First,several texture maps of the original 3D models in .stl format were picked from the standard model library,so the backup secret data after twice two-dimension discrete Daubechies transform can be embedded using dbl function just as the watermark.Secondly,the original 3D model in .stl format was operated by frame sampling in wavelet domain to obtain the coefficient in transform domain,thus the secret data was embedded into the corresponding transform coefficient.Finally,the .obj documents with the secret information were generated by multiplying the 2D texture map data and the 3D .stl data matrix based on orthogonal projection.Texture maps and coordinate space of 3D model were both used to embed the secret information repeatedly in order to enhance the robustness.The experiment analysis indicated that the imperceptibility,robustness and resistance against analysis are improved and information transmission safety in complex environment can be achieved based on the redundancy space of multi-type carriers.…”
    Get full text
    Article
  17. 877
  18. 878
  19. 879

    Reconstruction and Prediction of Regional Population Migration Neural Network Model with Age Structure by Cuiying Li, Yulin Wu, Yi Cheng, Yandong Guo, Kun Wei, Jie Zhao

    Published 2025-02-01
    “…The rationale for age-structured population migration system models lies in the significant impact of age patterns on migration dynamics, as age-specific migration rates exhibit distinct regularities and are influenced by life course transitions, socio-economic conditions, and demographic structures. …”
    Get full text
    Article
  20. 880

    Structural Constraints in Current Stomatal Conductance Models Preclude Accurate Prediction of Evapotranspiration by Pushpendra Raghav, Mukesh Kumar, Yanlan Liu

    Published 2024-08-01
    “…In contrast, a ML approach, wherein the model structure is learned from the data, outperforms traditional models, thus highlighting that there still is significant room for improvement in the structure of traditional models for predicting ET. …”
    Get full text
    Article