Showing 1,501 - 1,520 results of 7,728 for search '(programa OR programs) computational', query time: 0.17s Refine Results
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    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
    “…The subject matter of the article is the process of computer simulation modeling of complex networks. The goal is to develop a method of computer simulation modeling of ordinary user and bot behavior in a recommendation system based on the theory of complex networks to test the accuracy and robustness of various algorithms for generating recommendations. …”
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    Axisymmetric adaptive upper-bound finite element limit analysis formulation based on second-order cone programming for bearing capacity of circular footing. by Rui Sun, Haibing Cai, Kai Zhang

    Published 2025-01-01
    “…For the sake of computational efficiency, the axisymmetric UB finite element problem is recast into a model of second-order cone programming (SOCP). …”
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    A Aprendizagem de Programação Apoiada pelo Modelo Social Aberto do Estudante / Programming Learning Supported by the Open Social Model of the Student by Vinicius Hartmann Ferreira, Eliseo Reategui

    Published 2020-12-01
    “…. /// This article presents the implementation of the Open Social Student Model in the virtual learning environment of an introductory computer programming course in higher education. The Open Social Student Model presents, in a visual and interactive way, a representation of the students' performance and that of their colleagues, thus allowing them to compare, evaluate and reflect about their own performance. …”
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    Multi-Area Sampling-Based Spatiotemporal Trajectory Planning for Autonomous Driving in Dynamic On-Road Scenarios by Shuhuan Ma, Zhiqiang Ning, Lixin Wei, Pengpeng Chai

    Published 2024-11-01
    “…Then, the best trajectory in the whole course is found by the dynamic programming-based approach, which is presented to optimize the problem-solving process and at the same time reduce the computational burden which is brought about by the multi-area sampling method. …”
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  10. 1510

    Do pensamento computacional desplugado ao plugado no processo de aprendizagem da matemática / Computational thinking unplugged to plugged in the mathematic learning process by Ingrid Santella, Adriana Aparecida de Lima Terçariol, Elisangela Aparecida Bulla Ikeshoji

    Published 2022-01-01
    “…As main results, it was evidenced that the pedagogical practices provide the development of computational thinking, articulated to Mathematics, in particular, the development of programming in the school environment, expanding the possibilities for the construction of new knowledge, in a more collaborative, meaningful and contextualized, still offering countless opportunities for the development of technological and logical-mathematical skills, among others, considered essential to students in the current scenario.…”
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  11. 1511

    Cycle-based formulations in Distance Geometry by Liberti, Leo, Iommazzo, Gabriele, Lavor, Carlile, Maculan, Nelson

    Published 2023-01-01
    “…The problem is often modelled as a mathematical programming formulation involving decision variables that determine the position of the vertices in the given Euclidean space. …”
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    Algorithm for Dynamic Reactive Power Optimization of Regional Power Grid Based on Interior Point Method and Neighborhood Search Decoupling Dynamic Programming Method by Jie ZHANG, Hengfeng WANG, Shengchun LIU, Huabiao WANG, Canghai WANG, Yao RAN, Xianmin WANG, Yongfei MA, Wei YAN

    Published 2023-02-01
    “…The regional power grid dynamic reactive power optimization problem is solved through the decoupling between stations, the decoupled coordination of voltage regulation and reactive power compensation equipment, and the dynamic programming within the stations. The two-stage method could not only ensure the quality of the optimal solution, but also avoid solving the state combination explosion problem with discrete variables, which greatly improves the computational efficiency. …”
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    Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma by Xiang Li, Donghao Yin, Jiahao Geng, Yanyu Xu, Zijing Xu, Xuemeng Yang, Quanwei Li, Zimeng Shang, Zhiyun Yang, Zhong Xu, Jiabo Wang, Enxiang Zhang, Xinhua Song

    Published 2025-08-01
    “…Abstract Background Hepatocellular carcinoma (HCC) is the most prevalent primary liver malignancy, contributing significantly to global mortality due to limited therapeutic options. Programmed cell death (PCD) and metabolism are key cancer hallmarks, influencing tumor progression and treatment response. …”
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    Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows by Alexander I. Legalov, Ivan V. Matkovskii, Mariya S. Ushakova, Darya S. Romanova

    Published 2020-06-01
    “…A statically typed version of the data driven functional parallel computing model is proposed. It enables a representation of dynamically changing parallelism by means of asynchronous serial data flows. …”
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    Using MATLAB for Teaching Physics, Direct Current Circuits Problems Case Study by Isidor Kokalari, Kosta Lili

    Published 2025-06-01
    “…MATLAB®, as interactive software for computer algebra, has already had an important impact on the way physics is taught by educators. …”
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    Supply Chain Management Using Evolutionary Algorithms by Skitsko Volodymyr I., Voinikov Mykola Yu.

    Published 2024-09-01
    “…Evolutionary algorithms are part of a broader field in artificial intelligence that is evolutionary computing. The article allocates the characteristics of evolutionary algorithms that distinguish them from other algorithms of evolutionary computing, and analyzes the most popular evolutionary algorithms: genetic algorithm, genetic programming, evolutionary programming, evolutionary strategies and differential evolution, in particular, their features and areas of application in supply chain management. …”
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