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    Model Predictive Control of Uncertain Constrained Linear System Based on Mixed ℋ2/ℋ∞ Control Approach by Patience E. Orukpe

    Published 2012-01-01
    “…Mixed ℋ2/ℋ∞ method is applied in a model predictive control strategy. The control law takes account of disturbances and uncertainty naturally. …”
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    Estimating Nurse Workload Using a Predictive Model From Routine Hospital Data: Algorithm Development and Validation by Paul Meredith, Christina Saville, Chiara Dall’Ora, Tom Weeks, Sue Wierzbicki, Peter Griffiths

    Published 2025-07-01
    “…The data were split into a training set (75%) and a test set (25%). We built a predictive model of ward workload (as measured by the PCS) using routinely recorded administrative data and admission National Early Warning Score. …”
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    A Predictive Spatial Model to Quantify the Risk of Air-Travel-Associated Dengue Importation into the United States and Europe by Lauren M. Gardner, David Fajardo, S. Travis Waller, Ophelia Wang, Sahotra Sarkar

    Published 2012-01-01
    “…This paper reports results from a network-based regression model which uses international passenger travel volumes, travel distances, predictive species distribution models (for the vector species), and infection data to quantify the relative risk of importing travel-acquired dengue infections into the US and Europe from dengue-endemic regions. …”
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    EvapoDeep: A Dual Deep Learning Framework Utilizing GNSS Data for Evapotranspiration Modeling and Predictive Analysis by Saeed Ebrahimi, Saeid Haji-Aghajany, Yazdan Amerian, Melika Tasan

    Published 2025-01-01
    “…Modeling and predicting reference Evapotranspiration (ET<sub>0</sub>) is crucial for effective water resource management and the protection of natural ecosystems. …”
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  13. 3613

    Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications by Xiaoying Liao, Chunhua Li, Qunyan Liu, Wang Xia, Zhenglin Liu, Jiamao Zhu, Wei Hu, Qionghua Hong

    Published 2025-06-01
    “…After dimensionality reduction based on feature importance analysis, a simplified and interpretable RF model with 12 key predictors was established, yielding an AUC (95% CI) of 0.754 (0.685–0.823).ConclusionThe RF-based predictive model developed in this study provides a reliable and interpretable tool for identifying the risk of ENAD in ICU patients, contributing to targeted nursing interventions and improved patient outcomes. …”
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    Predictive Modelling of Protest Event Signatures: Analyzing Temporal Dynamics and Digital Activism Discourse Across Global Movements by Amila Chethana Nanayakkara, B. T. G. Samantha Kumara, R. M. Kapila Tharanga Rathnayaka

    Published 2025-03-01
    “…This research introduced a predictive modeling framework to analyze the temporal dynamics of social media discourse during three global movements: the Mahsa Amini Protests (2022), South African Unrest (2021), and the Black Lives Matter Movement (2020). …”
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    Inflammatory and demographic determinants of elevated white blood cell counts: insights from predictive modeling and NHANES analysis by Saanie Sulley, Yan Zhou, Memory Ndanga

    Published 2025-04-01
    “…Conclusions AGP and hs-CRP are powerful indicators of inflammation-related blood disorders, with demographic variables playing a significant role in these relationships. The predictive model showed promise for combining demographic and inflammatory data to pinpoint high-risk individuals, although it requires further refinement for clinical use. …”
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    Privacy-Preserving Interpretability: An Explainable Federated Learning Model for Predictive Maintenance in Sustainable Manufacturing and Industry 4.0 by Hamad Mohamed Hamdan Alzari Alshkeili, Saif Jasim Almheiri, Muhammad Adnan Khan

    Published 2025-06-01
    “…<b>Methods:</b> Explainable AI (XAI) plays a crucial role in enhancing transparency and trust in PdM models by providing interpretable insights into failure predictions. …”
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