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    THE MODELING OF THE EXPLOITATION PROCESS OF GAS DEPOSIT ACCORDING TO INHOMOGENEOUS STRATUM STRUCTURE by Artem Viktorovich Plotnikov

    Published 2022-10-01
    “…The article is provided the process of mathematical modeling process of gas deposit according to its inhomo_geneous structure. …”
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    Lightweighting the prediction process of urban states with parameter sharing and dilated operations by Peixiao Wang, Haolong Yang, Hengcai Zhang, Shifen Cheng, Feng Lu, Zeqiang Chen

    Published 2025-08-01
    “…Furthermore, we establish mathematical relationships between hyperparameters, significantly reducing their number and simplifying the calibration process. The PSDCN model was validated using PM2.5, traffic, and temperature datasets. …”
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    Application of Genetic Algorithms for Finding Edit Distance between Process Models by Anna A. Kalenkova, Danil A. Kolesnikov

    Published 2018-12-01
    “…In particular, finding graph-edit distance techniques can be used to reveal patterns (subprocesses), compare discovered process models. As it was shown experimentally and theoretically justified, exact methods for finding graph-edit distances between discovered process models (and graphs in general) are computationally expensive and can be applied to small models only. …”
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    A Cosimulation Framework for Carrier-Based Aircraft Arrested Landing Process by Shao Haoyuan, Li Daochun, Kan Zi, Ding Menglong, Xiang Jinwu

    Published 2025-01-01
    “…A direct lift control strategy is employed to enhance trajectory stability. The computational process employs fourth-order Runge–Kutta integration for the descent phase and transitions to the Newmark method when the hook-to-ramp distance reaches the engagement threshold. …”
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    Modeling and Simulation of the Furniture Manufacturing and Assembly Process in the Arena Simulation Software by Damian Kolny, Ewa Kaczmar-Kolny, Ľuboslav Dulina

    Published 2023-01-01
    “…The course of the process was analyzed in the Arena software on the basis of a computer simulation based on reports. …”
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    Breast Cancer Detection Using Mammography: Image Processing to Deep Learning by Shahzad Ahmad Qureshi, Aziz-Ul-Rehman, Lal Hussain, Touseef Sadiq, Syed Taimoor Hussain Shah, Adil Aslam Mir, Muhammad Amin Nadim, Darnell K. Adrian Williams, Tim Q. Duong, Qurat-Ul-Ain Chaudhary, Natasha Habib, Asrar Ahmad, Syed Adil Hussain Shah

    Published 2025-01-01
    “…This mammography review paper comprehensively reviews computer-aided techniques during a specific time frame for the segmentation and classification of microcalcification, evaluating image processing, machine learning, and deep learning techniques. …”
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