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  1. 101

    On the impact of hidden modeling assumptions on living systems- predictive dynamics by Ivan Mura

    Published 2015-09-01
    “…REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper aims at showing the predictive modeling of living systems, particularly some commonly structured modeling assumptions which simplify the behavior of living systems. …”
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  2. 102

    A data driven predictive viscosity model for the microemulsion phase by Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast

    Published 2025-04-01
    “…This study develops a computational, data-driven model to accurately estimate and predict peak phase viscosity in microemulsion systems at dynamic environments. …”
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    Developing A Predictive Model for Small Business Loan Default by Refiloe Gladys Benedict, O Stumke, Veruschka Pelser Carstens

    Published 2024-12-01
    “…This paper proposes a model aimed at proactively increasing loan repayment probabilities. …”
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    Harnessing AI for Leadership Development: Predictive Model for Leadership Assessment by Abdullahi Abdu Ibrahim, Adel Alomairi

    Published 2025-03-01
    “…The objective was to create a predictive model that would allow classifying leadership into three groups – Low, Medium, and High – based on behavior scores. …”
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    Predictive Control of Mobile Robot Using Kinematic and Dynamic Models by Manel Mendili, Faouzi Bouani

    Published 2017-01-01
    “…This paper presents a predictive control of omnidirectional mobile robot with three independent driving wheels based on kinematic and dynamic models. …”
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    Model Predictive Control to Autonomously Approach a Failed Spacecraft by Xun Wang, Zhaokui Wang, Yulin Zhang

    Published 2018-01-01
    “…In this study, a model predictive control (MPC) method is developed for a servicer spacecraft autonomously approaching a tumbling failed spacecraft at an ultraclose range. …”
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    Language Models for Predicting Organic Synthesis Procedures by Mantas Vaškevičius, Jurgita Kapočiūtė-Dzikienė

    Published 2024-12-01
    “…Our findings show that only when the core reactants are used as input, the models learn to correctly predict what ancillary components need to be included in the resulting procedure. …”
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