Showing 1,241 - 1,260 results of 53,088 for search '((structure OR (structures OR structures)) OR (structures OR structural)) data', query time: 0.47s Refine Results
  1. 1241
  2. 1242

    Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

    Published 2024-11-01
    “…The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. …”
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  3. 1243

    SREDNEKEDROVAYA PALEOSEISMODISLOCATION IN THE BAIKAL RIDGE: ITS STRUCTURE AND THROWS ESTIMATED FROM GROUND‐PENETRATING RADAR DATA by O. V. Lunina, A. S. Gladkov, A. A. Gladkov, I. A. Denisenko

    Published 2018-07-01
    “…Our study aimed to clarify the seismic potential of the Severobaikalsk fault and to discover the structural features of active faults on the NW shores of Lake Baikal. …”
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  4. 1244

    Revealing the Hidden Social Structure of Pigs with AI-Assisted Automated Monitoring Data and Social Network Analysis by Saif Agha, Eric Psota, Simon P. Turner, Craig R. G. Lewis, Juan Pedro Steibel, Andrea Doeschl-Wilson

    Published 2025-03-01
    “…This proof-of-concept study addresses, for the first time, the hypothesis that applying social network analysis (SNA) on AI-automated monitoring data could potentially facilitate the analysis of social structures of farm animals. …”
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  5. 1245
  6. 1246
  7. 1247

    Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach by Ulumuddin Faqih, Fajar Miftakhul Haris M., Warnana Dwa Desa, Rafi Muhammad Erfand Dzulfiqar, Rahayu K Helda usuma

    Published 2024-01-01
    “…However, the identification of geo - thermal manifestations in this location is limited, so magnetic data can help identify subsurface geological structures to confirm the geo thermal potential in this area. …”
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    Article
  8. 1248

    Fractal Characteristics of the Auroral Oval Structure According to the All-Sky Camera Data in Apatity for 2013–2020 by Kozelov Boris

    Published 2025-04-01
    “…The spatial structure of polar auroras is described by the fractal dimension of glow fluctuations and its anisotropy from direction. …”
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  9. 1249

    Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography by D. A. Martyushev, I. N. Ponomareva, B. M. Osovetsky, K. P. Kazymov, E. M. Tomilina, A. S. Lebedeva, A. S. Chukhlov

    Published 2024-04-01
    “…At present, a large number of scientific works devoted to the study of the features of the geological structure and the development of oil deposits in complex carbonate reservoirs are based on the use of any one research method. …”
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  10. 1250

    UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

    Published 2025-01-01
    “…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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  11. 1251
  12. 1252

    A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

    Published 2025-07-01
    “…Clouds are important for Earth’s energy budget and water cycles, and precisely characterizing their vertical structure is essential for understanding their impact. …”
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  13. 1253

    Conserved genome structure and phylogenetic insights for the heterogeneous subfamily of Convallarioideae (Asparagaceae) revealed from plastome data by Shao-De Wu, Ran Meng, Ze-Long Nie, Ming-Yang Song, Xing-Ru Chen, Jun Wen, Ying Meng

    Published 2025-05-01
    “…Despite its importance, chloroplast genome data for Convallarioideae remain limited, hindering a comprehensive understanding of their genome structural evolution and phylogenetic relationships. …”
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  14. 1254
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  16. 1256

    Yerevan Brickwork Residential Building Architecture and the Importance of Geographic Information Systems (GIS) in Preservation of Architectural Monuments and Structures by Evlin Ordoukhanian, Shahen Shahinyan

    Published 2025-08-01
    “…This research aims to gather and maintain accurate information about brick structures, which significantly impacts their preservation. …”
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  17. 1257

    The changes of left cardiac structure and function in the patients with non-dialysis chronic kidney disease and influencing factors by CHEN Cai-ming, CHEN Yuan, CHEN Yi, ZHANG Xiao-hong, WAN Jian-xin

    Published 2017-01-01
    “…Objective To analyze the changes of left ventricular structure and function in the patients with non-dialysis chronic kidney disease(ND-CKD)and the influencing factors.Methods The ND-CKD patients were enrolled from Jan.2013 to July 2014 in our hospital.All patients were subjected to echocardiography and the indexes were collected.Also the clinical data were collected.The indexes of left ventricular structure and function among different CKD groups were analyzed,and the correlation between the changes of cardiac structure and function were clinical data were also analyzed.Results 337 ND-CKD patients were enrolled,including 71 patients with CKD1 stage,37 patientswith CKD2 stage,28 patients with CKD3 stage,36 patients with CKD stage 4 and 165 patients with CKD stage 5.In pace with the progression of CKD,the data revealed that body mass index(BMI)and serum calcium were gradually declined(P<0.05),while blood urea nitrogen(BUN),serum creatinine(SCr),serum phosphorus,intact parathyroid hormone(iPTH)and Cystatin C gradually ascended(P<0.05).New bone metabolic markers revealed that in pace with the progression of CKD,25-(OH)-VitD gradually declined(P<0.05),but N-Osteocalcin(NOC),β-C-terminal telopeptide of typeⅠcollagen(β-CTX)and N-terminal peptide of typeⅠprocollagen(P1 NP)gradually ascended(P<0.05).Echocardiographic indexes revealed that in pace with the progression of CKD,left ventricular end diastolic dimension(LVDd),left ventricular end systolic dimension(LVDs),and left ventricular mass index(LVMI)gradually ascended(P<0.05)in cardiac structure,and SV gradually ascended(P<0.05)in cardiac function,while relative wall thickness(RWT),cardiac output(CO),left ventricular ejection fraction(LV-EF),fractional shortening(FS),and transmitral diastolic early peak inflow velocity/transmitral diastolic late peak inflow velocity(E/A)had no statistically significant difference,but E/A gradually declined and was less than1 after CKD2.Left ventricular geometric remodeling revealed that the normal LV geometry group gradually declined from CKD1 to CKD5,with84.5%,70.3%,64.3%,44.4%and38.2%respectively.The abnormal LV geometry groups gradually ascended from CKD1 to CKD5,and there were 32.1% with eccentric hypertrophy,15.2% with concentric hypertrophy,and 14.5% with concentric remodeling.Multiple linear regression revealed that the risk factors of RWT were age and serum phosphorus,the risk factor of LVDd was BMI,the risk factor of LVMI wasβ-CTX,the risk factor of SV was Cystatin C,and the protective factors of E/A were age,gender(female),Ca and BUN.Conclusions The left ventricular structure and function in the patients with ND-CKD were aggravated in pace with the progression of CKD.Age,renal function,serum phosphorus,serum calcium,iPTH,BMI andβ-CTX were related to the changes of left ventricular structure and function.…”
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  18. 1258

    Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

    Published 2025-06-01
    “…The approach integrates surface data from remote sensing and data from airborne magnetic geophysical surveys that provide information on the subsurface structures, to analyze structural lineament density analysis, orientation, and high permeable zones, and assess geothermal potential. …”
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  19. 1259

    Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

    Published 2018-12-01
    Subjects: “…data structures…”
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