Development and Validation of a Predictive Model for Growth of Salmonella Infantis in Ground Turkey by Thomas P. Oscar

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Enhancing Skill of Initialized Decadal Predictions Using a Dynamic Model of Drift by Balasubramanya T. Nadiga, Tarun Verma, Wilbert Weijer, Nathan M. Urban

Subjects: “…initialized predictions…”
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Energy Prediction Method for Metro HVAC Systems based on the ARMA Model by Huang Ronggeng, Long Jing, Pan Zhigang, Chen Huanxin, Liu Jiangyan, Liu Jiahui, Li Zhengfei

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Prediction on the Peak of the CO2 Emissions in China Using the STIRPAT Model by Li Li, Yalin Lei, Chunyan He, Sanmang Wu, Jiabin Chen

“…Therefore, by setting a low scenario, a middle scenario, and a high scenario, this paper predicts China’s carbon emissions peak from 2015 to 2035 based on the data from 1998 to 2014 using the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. …”
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Predictive athlete performance modeling with machine learning and biometric data integration by Qin Jianjun, Haytham F. Isleem, Walaa J. K. Almoghayer, Mohammad Khishe

Subjects: “…Predictive athlete performance modeling…”
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Research on the prediction model of gas emission based on grey system theory by Liyang Bai, Hui Geng, Guangming Yu

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Cellular automata model based power network attack prediction technology by Lijuan YE, Yiting WANG, Licheng ZHU

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Dynamic modeling and prediction of wax deposition thickness in crude oil pipelines by Martins Obaseki, Paul T. Elijah

“…A molecular diffusion and aging mechanism model by Fick’s law is applied here to better predict wax deposition thickness in crude oil pipelines. …”
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Strength Prediction Model for Cohesive Soil–Rock Mixture with Rock Content by Yang Sun, Jianyong Xin, Junchao He, Junping Yu, Haibin Ding, Yifan Hu

“…This equation effectively predicts the shear strength of the cohesive SRM with different P_BV values.…”
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Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks by Xiufeng Wang, Chunmeng Wang, Gang Cui, Qing Yang

“…Simulation results show that the link duration model predicts link duration with the average accuracy of 10% and 20% in highway and city scenarios, respectively.…”
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Personalization of Robot Behavior Using Approach Based on Model Predictive Control by Mateusz Jarosz, Bartlomiej Sniezynski

“…In the proposed framework, a user model is applied to predict responses to potential robot actions. …”
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Water Supply Network System Control Based on Model Predictive Control by Adel Abdulrahman, Nagib Nasher

“…Keywords: Water supply system, Model predictive control, Constraints…”
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Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…To ensure the safe and efficient extraction of coal mines and reduce sudden roof accidents, this study proposes a novel multivariate long-term sequence mine pressure prediction model—the Empirical Mode Decomposition Linear Model (EMD–Mixer). …”
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Deep Learning Model for Prediction of Dementia Severity based on EEG Signals by Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad

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Short-Term Wind Speed Prediction Using EEMD-LSSVM Model by Aiqing Kang, Qingxiong Tan, Xiaohui Yuan, Xiaohui Lei, Yanbin Yuan

“…Furthermore, the scatter diagrams of predicted versus actual wind speed and histograms of prediction errors are presented to verify the superiority of the hybrid model in short-term wind speed prediction.…”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

“…Abstract State‐of‐the‐art model‐based predictive control techniques for AC motor drives are reviewed in this paper. …”
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Machine learning-driven predictive modeling of mechanical properties in diverse steels by Movaffaq Kateb, Sahar Safarian

“…This study highlights the feasibility of using small, realistic datasets to develop effective ML models for predicting mechanical properties in steel design. …”
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Innovative Study on Volatility Prediction Model for New Energy Stock Indices by Yanguo Li, Chao Long

“…To address this, this paper proposes a deep learning ensemble model based on decomposition optimization for predicting the volatility of new energy stock indices. …”
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Dynamic tire-pavement friction prediction with an integrated sensing-modeling approach by Baiyu Jiang, Xunjie Chen, Hao Wang, Jingang Yi

“…This study proposed an intelligent tire solution to predict tire-pavement friction from tire sensors using an integrated modeling-sensing approach. …”
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Uncertainties in the finite-time Lyapunov exponent in an ocean ensemble prediction model by M. Matuszak, J. Röhrs, P. E. Isachsen, P. E. Isachsen, M. Idžanović

“…Generally, trajectory simulations, such as Lagrangian trajectories, inherit uncertainty from the underlying ocean model, bearing substantial uncertainties as a result of chaotic and turbulent flow fields. …”
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