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  1. 821

    Pushover-ML: A Machine Learning approach to predict a trilinear approximation of pushover curves for low-rise reinforced concrete frame buildings by Carlos Angarita, Carlos Montes, Orlando Arroyo

    Published 2025-05-01
    “…The user-friendly executable provides insights into the structure's seismic capacity through the yielding, maximum capacity, and collapse points of the pushover curve. …”
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    Article
  2. 822

    Numerical Simulation on Dynamic Response of Existing Tunnel to Moving-Axle Loads under the Influence of Oblique Shield Crossing the Intersection Area by Pengcheng Jiang, Mengxi Zhang, Wurong Jia, Hui Wei, Akbar A Javadi

    Published 2022-01-01
    “…A 3D dynamic finite element model is developed to study the response of the existing tunnels’ concrete structure under the influence of different train speeds and undercrossing with fixed shield excavation. …”
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    Article
  3. 823

    Fault Analysis System for High Speed EMU Control Network Based on Fault Tree by XU Qing, LI Chuanyu

    Published 2022-08-01
    “…At present, fault analysis of high speed EMU is to classify and list all the fault causes according to the working principle, characteristics, functions and structure of the system. Once a fault occurs, it checks and eliminates fault causes one by one according to the established procedures. …”
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    Article
  4. 824

    Convolutional neural network for IT lung diagnostics by U. A. Vishniakou, T. He

    Published 2024-05-01
    “…The study includes training of a neural network, development of a mobile program for collecting patient sound, extraction of sound characteristics on the server side, diagnostics of sound data using a trained neural network and return of diagnostic results to the mobile application program. …”
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    Article
  5. 825

    OPTIMAL RESOURCE ALLOCATION IN YAM-BASED CROPPING SYSTEMS IN YORRO LOCAL GOVERNMENT AREA OF TARABA STATE NIGERIA by Dengle Yuniyus GIROH

    Published 2020-01-01
    “…Primary data used for the study were collected from 142 farmers using structured interview schedule. Data were analysed using descriptive statistics and linear programming model. …”
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    Article
  6. 826

    A Hardware Design of Neuromolecular Network with Enhanced Evolvability: A Bioinspired Approach by Yo-Hsien Lin, Jong-Chen Chen

    Published 2012-01-01
    “…A close structure-function relation inherent in biological structures is an important feature for providing great malleability to environmental changes. …”
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    Article
  7. 827

    Visual Graphical Interpreted Language for Discrete Modeling DLAA by Dmitry Gapanovich, Vladimir Sukhomlin

    Published 2025-04-01
    “…The article is devoted to the development of a visual graphical language (DLAA) of state diagrams of special-purpose finite state machines (FSM) intended for structured description of configuration and behavior of discrete-event systems. …”
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    Article
  8. 828

    Specx: a C++ task-based runtime system for heterogeneous distributed architectures by Paul Cardosi, Bérenger Bramas

    Published 2025-07-01
    “…Parallelization is needed everywhere, from laptops and mobile phones to supercomputers. Among parallel programming models, task-based programming has demonstrated a powerful potential and is widely used in high-performance scientific computing. …”
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    Article
  9. 829

    A METHOD OF COMPUTER SIMULATION MODELING OF USER AND BOT BEHAVIOR IN A RECOMMENDATION SYSTEM USING THE GRAPH DATABASE NEO4J by Yelyzaveta Meleshko, Mykola Yakymenko, Viktor Bosko

    Published 2021-09-01
    “…A method of computer simulation modeling of users and objects in a recommender system was proposed, which consists of generating the structure of the social graph of a recommender system and simulating user and bot behavior in it. …”
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    Article
  10. 830

    Contemporaneous symptom networks for multidimensional symptom experience in lung cancer survivors of immunotherapy: A network analysis. by Hang Gao, Xiaoxue Wen, Xiaoli Sun, Yuwei Liu, Jianwen Hou, Danwen Zheng, Hejia Chen, Lingfang Ma, Yufang Zhou, Xinyan Yu

    Published 2025-01-01
    “…Following the use of exploratory factor analysis to discover symptom clusters, we calculated the centrality indices and created a network structure using the R programming language that displayed the connections between the symptoms. …”
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    Article
  11. 831

    Design as Exploration by Ding Yang

    Published 2023-01-01
    “…To support the re-formulation, various kinds of information and knowledge need to be extracted by utilizing different computational techniques, such as advanced sampling algorithms, Self-Organizing Map, Hierarchical Clustering, Smoothing Spline Analysis of Variance, Two-Level Variable Structure and modular programming. Moreover, a software workflow that can provide these computational techniques is developed; it integrates McNeel’s Grasshopper, ESTECO's modeFRONTIER and simulation software tools Daysim, EnergyPlus and Karamba3D. …”
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    Article
  12. 832

    A Tabu Search-Based Algorithm for Airport Gate Assignment: A Case Study in Kunming, China by Jun Bi, Zhen Wu, Lei Wang, Dongfan Xie, Xiaomei Zhao

    Published 2020-01-01
    “…A unique neighborhood structure and search strategy for tabu search are designed. …”
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    Article
  13. 833

    Metoda kształtowania ustrojów cięgnowych osiowo-symetrycznych by S. Jendo

    Published 1969-06-01
    “…The subject of the present work is the determination of the shape of axially-symmetrical surface suspended structures and its optimization according to the criterion of minimum weight. …”
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  14. 834

    Multidomain Connectivity as a Marker of HIIT-Induced Adaptation in Elite Youth Soccer Players: A Correlational Mapping Approach by Moses Gnanasigamani, Agnieszka Kaczmarek, Jarosław Nosal, Eugenia Murawska-Ciałowicz, Paweł Chmura

    Published 2025-07-01
    “…These results align with emerging frameworks in network physiology and highlight the potential for using correlation structures as biomarkers of holistic training adaptation. …”
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    Article
  15. 835

    Distance learning for training business game tutors by Mariana de Toledo Marinho, José de Souza Rodrigues, Katia Livia Zambon, Antonio Fernando Crepaldi

    “…The Distance Learning (DL) activities were developed using the Moodle platform and structured by topic to increase educational flexibility and achieve a better balance between individual reflection and online discussion. …”
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    Article
  16. 836

    Configuring adaptive PID-controllers of the automatic speed control system of the GTE by K. E. Chertilin, V. D. Ivchenko

    Published 2020-12-01
    “…Therefore, it is desirable to create an adaptive automatic control system with the structure and parameters of the control regulator that are purposefully changed to ensure the system adaptation, that is based on information about the properties of the object of regulation and external influences, to the changing operating conditions. …”
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    Article
  17. 837

    Seismic Optimization of High Cantilever Multianchor Pile Strengthening Soil Slopes against Earthquakes by Honggang Wu, Lifang Pai, Hao Lei

    Published 2021-01-01
    “…The optimization effect of optimized structures is related to the position of the shock-absorbing layer. …”
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    Article
  18. 838

    Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes by Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli

    Published 2024-12-01
    “…The behavior selection module is composed of a two-level structure of four action policies obtained from PL-fMDPs. …”
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    Article
  19. 839

    A Bayesian stable isotope mixing model for coping with multiple isotopes, multiple trophic steps and small sample sizes by Risto Heikkinen, Heikki Hämäläinen, Mikko Kiljunen, Salme Kärkkäinen, Jos Schilder, Roger I. Jones

    Published 2022-11-01
    “…C, N, H) for two trophic levels, when the structure of the food web is known. In addition, the model allows inclusion of latent trophic levels (i.e. for which no empirical data are available) intermediate between sources and measured consumers. …”
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  20. 840

    Heron, a Knowledge Graph editor for intuitive implementation of Python-based experimental pipelines by George Dimitriadis, Ella Svahn, Andrew F MacAskill, Athena Akrami

    Published 2025-07-01
    “…Heron allows researchers to design experiments according to their own mental schemata, represented as a Knowledge Graph – a structure that mirrors the logical flow of an experiment. …”
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