Random fields and up scaling, towards a more predictive probabilistic quantitative hydrogeology by Noetinger, Benoît

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Big Data-Driven Based Real-Time Traffic Flow State Identification and Prediction by Hua-pu Lu, Zhi-yuan Sun, Wen-cong Qu

“…Considering simple calculation and predictive accuracy, a bilevel optimization model for regional traffic flow correlation analysis is established to predict traffic flow parameters based on temporal-spatial-historical correlation. …”
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Validation of predictive equations for aerobic fitness in young healthy male students of the University of Ibadan by Johnson Babajide Oduyomi, Adesoji Fasanmade

“…Conclusion This study asserts that caution should be taken when using a non-exercise equation to predict VO2 in the African population. It is therefore recommended to carry out various assessment methods of VO2 estimation in a wider population using various protocols, and also develop a predictive equation for VO2 specific to the African population.…”
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Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation. by Taochang Li, Ang Li, Limin Hou

“…Additionally, to address the high torque and current ripple issues commonly associated with traditional PI controllers in the current loop, Model Predictive Control (MPC) is adopted to further improve control performance. …”
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DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component by Funa Zhou, Jiayu Wang, Yulin Gao

“…Residual useful life (RUL) prediction is significant for condition-based maintenance. …”
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Travel Time Prediction Model of Freeway Corridor Based on Real-Time Safety Reliability by Huazhi Yuan, Zhaoguo Huang, Hongying Zhang

“…At the same time, the travel time prediction model of the incident management unit was set up when the real-time safety reliability was taken as a road resistance function. …”
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A Promising Candidate: Heparin-Binding Protein Steps onto the Stage of Sepsis Prediction by Yang Yang, Guihuan Liu, Qingnan He, Jie Shen, Linyong Xu, Ping Zhu, Mingyi Zhao

“…In this review, we summarize the typical biological function of HBP and its latest research progress to provide theoretical basis for clinical prediction and diagnosis of sepsis.…”
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Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models by Peng Guan, Guangzhao Ou, Feng Liang, Weibang Luo, Qingyong Wang, Chengyuan Pei, Xuan Che

Subjects: “…tunnel squeezing prediction…”
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Prediction of the Clinical Outcomes of Sigmoid Volvulus by Abdominal X-Ray: AXIS Classification System by Rei Ishibashi, Ryota Niikura, Nobuya Obana, Sho Fukuda, Mayo Tsuboi, Tomonori Aoki, Shuntaro Yoshida, Atsuo Yamada, Yoshihiro Hirata, Kazuhiko Koike

“…We developed a new predictive classification system for sigmoid volvulus based on X-ray findings. …”
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A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things by Mudita Uppal, Deepali Gupta, Nitin Goyal, Agbotiname Lucky Imoize, Arun Kumar, Stephen Ojo, Subhendu Kumar Pani, Yongsung Kim, Jaeun Choi

“…Also, real-time data monitoring is conducted for the predictive maintenance of sensor nodes. This model uses an Arduino Mega 2560 Rev3 microcontroller connected to different appliances and sensors. …”
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SOC and SOH Prediction of Lithium‐Ion Batteries Based on LSTM–AUKF Joint Algorithm by Yancheng Song, Jiaqi Lu, Huai Zhang, Guangjun Liu

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The development trend of China’s marine economy: a predictive analysis based on industry level by Yu Chen, Huahan Zhang, Lingling Pei

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Validation of a Simple Score for Mortality Prediction in a Cohort of Unselected Emergency Patients by Jeannette-Marie Busch, Isabelle Arnold, John Kellett, Mikkel Brabrand, Roland Bingisser, Christian H. Nickel

“…The C-statistics of discrimination was used to compare SPS and ESI predictions of 7-day, 30-day, and 1-year mortality. …”
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A prediction model for the oceanauts’ cognitive performance based on the mental workload of typical tasks by Mengya Zhu, Jingluan Wang, Xian Zhang, Dengkai Chen

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Construction of a Nomogram Model for Predicting Pleural Effusion Secondary to Severe Acute Pancreatitis by Bing-Mei Zhou, Zhao-Lei Qiu, Kai-Xuan Niu, Yin-E. Wang, Fu-Chen Jie

“…The nomogram model showed good discrimination and consistency, and it can better predict the risk of PE secondary to SAP.…”
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Handover algorithm for space-air-ground integrated network based on location prediction model by XIE Jianli, CHEN Long, ZHANG Zepeng, LI Cuiran

“…To address the issues of frequent handovers and network load imbalance caused by dynamic changes in the network environment and enhanced mobility of user terminals in the 6G space-air-ground integrated network (SAGIN), a handover algorithm for SAGIN based on a terminal location prediction model was proposed. The algorithm constructed a long short-term memory (LSTM) network terminal location prediction model optimized based on the sparrow search strategy, improving the accuracy of terminal location prediction and resolving the issue of unreasonable handover timing. …”
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Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1) by Yongqiang Xu, Lim Thien Sang, Kun Wang

“…Based on this, the paper selects the per capita disposable income (PCDI) of farmers’ households from 2012 to 2019 in 11 cities of Hebei Province as the research object and applies the fractional grey model (FGM (1,1)) to predict farmers’ income from 2020 to 2024. The results show that the farmers’ income will increase in the next five years. …”
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Advancing dental biofilm models: the integral role of pH in predicting S. mutans colonization by Jay S. Sangha, Valentina Gogulancea, Thomas P. Curtis, Nicholas S. Jakubovics, Paul Barrett, Aline Metris, Irina D. Ofiţeru

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The Predictive Significance of Platelet‐to‐Lymphocyte Ratio for Miscarriage: A Systematic Review and Meta‐Analysis by Xiaoyi Wang, Yanfang Zhao, Yangyang Fan, Yun Liu

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Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

“…The random forest-based CVD prediction model demonstrated excellent predictive power and provided valuable insights for personalized patient care and optimal resource allocation in populations exposed to heavy metals.…”
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