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  1. 121

    MATERIALS AND MODERN STRUCTURAL SOLUTIONS FOR BUILDING STRUCTURES by L. V. Morgun, A. Yu. Bogatina, V. N. Morgun

    Published 2020-01-01
    “…An analysis of the effectiveness of heat-insulating and structural fibre-reinforced concrete in terms of their mechanical and physical properties, including frost resistance, is carried out.Results. …”
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    Article
  2. 122

    Mathematical methods of data processing in the formation and evaluation of sectoral structure in agricultural enterprises by T. Kalashnikova, І. Кoshkalda, O. Тrehub

    Published 2019-08-01
    “…This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. …”
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    Article
  3. 123

    Minimal‐cost route planning via Fibonacci‐heap‐typed data structure by Wangjia Zhan, Haohao Qiu, Bo Min, Lin Lin

    Published 2024-11-01
    “…To achieve this, the reachability determination algorithm is designed to assess the courier company's reachability to all junctions based on the queue‐typed data structure and breadth‐first search idea. Subsequently, the minimal‐cost route planning algorithm is developed to find a feasible transport route with the minimal cost of clearing obstacles by resorting to the Edmonds' algorithm and some feasible data structures. …”
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  4. 124

    Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

    Published 2025-04-01
    “…Abstract Network anomaly detection using graph-structured data is a critical task in data mining and cybersecurity, involving the identification of unusual patterns within a network by analyzing its structure as a graph. …”
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    Article
  5. 125

    Accounting for population structure and data quality in demographic inference with linkage disequilibrium methods by Enrique Santiago, Carlos Köpke, Armando Caballero

    Published 2025-07-01
    “…Abstract Linkage disequilibrium methods for demographic inference usually rely on panmictic population models. However, the structure of natural populations is generally complex and the quality of the genotyping data is often suboptimal. …”
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  6. 126
  7. 127

    Aligning EMR Structure with Treatment Cycles: Enhancing Data Management and CDSS Functionality by Ali Azadi, Francisco José García-Peñalvo

    Published 2025-05-01
    “…Electronic medical records (EMRs) are fundamental to clinical decision support systems (CDSS). Conventional EMR structures still fail to capture the cyclical nature of treatment plans, leading to fragmented data representation and reduced decision accuracy. …”
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  8. 128
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  12. 132

    THE NEOTECTONIC STRUCTURE OF INTERMOUNTAIN BASINS OF MOUNTAINOUS ALTAI ACCORDING TO ELECTROMAGNETIC AND GEOLOGICAL DATA by N. N. Nevedrova, A. M. Sanchaa, E. V. Deev, S. M. Babushkin

    Published 2015-09-01
    “…The article presents new data on the geoelectrical structure of Chuya, Kuray and Uymon intermountain basins, which are the three largest ones in Mountainous Altai, Russia. …”
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  13. 133

    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.…”
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  14. 134
  15. 135

    Combining Several Substitution Cipher Algorithms using Circular Queue Data Structure by Noor Ibraheem, Mokhtar Hasan

    Published 2020-12-01
    “…Lots of algorithms and techniques are available for data security.  This paper presents a cryptosystem that combines several Substitution Cipher Algorithms along with the Circular queue data structure. …”
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  16. 136
  17. 137

    A CDE-based data structure for radiotherapeutic decision-making in breast cancer by Fabio Dennstädt, Maximilian Schmalfuss, Johannes Zink, Janna Hastings, Roberto Gaio, Max Schmerder, Nikola Cihoric, Paul Martin Putora

    Published 2025-07-01
    “…Abstract Background The growing complexity of oncology and radiation therapy demands structured and precise data management strategies. The National Institutes of Health (NIH) have introduced Common Data Elements (CDEs) as a uniform approach to facilitate consistent data collection. …”
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  18. 138

    Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review by Stella Dimitsaki, Pantelis Natsiavas, Marie-Christine Jaulent

    Published 2024-12-01
    “…Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology. …”
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  19. 139

    Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone Data in Tehran City by S.S. Mousavi, M. Mohammadzadeh

    Published 2013-06-01
    “…For eliminating the trend of data, a dynamic linear model is used, then some features of correlation structure of de-trended data, such as stationarity, symmetry and separability are considered. …”
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  20. 140

    Research on Smart Scaling Mechanism and Structure for Big Data Network Server Groups by Hongyao Ju

    Published 2015-03-01
    “…The principle and construction of the structure of smart telescopic on big data network server groups were elaborated.The key technologies involved in the smart scaling of big data network server groups were discussed.After investigating key technologies,including the monitoring of the workload of the server group,the smart control of the number of servers,and the scheduling of access loads,the principle and realization method for the smart scaling of big data network server groups were proposed and technical supports were provided for the smart scaling and effective energy conservation of big data network server groups.According to the proposed construction method and key technologies,a smart scaling model for big data network server groups was provided as well.…”
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