Construction of a predictive model for in-circuit coagulation in patients on continuous renal replacement therapy by Chang Rong, Li Ling-ling

“…In the range of 7%~66%， net benefit value was high， indicating that the model had an excellent prediction capability.ConclusionThe prediction effect of this model is excellent. …”
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Consistent Approach to Predictive Modeling and Countermeasure Determination by Crash Type for Low-Volume Roads by Francesca Russo, Salvatore Antonio Biancardo, Gianluca Dell’Acqua

“…The object of this research is to develop one and only injury crash rate prediction model differentiable for three main crash types (head-on/side collisions, rear-end collisions, single-vehicle run-off-road crashes) observed on the selected Italian two-lane rural roads in low-volume conditions. …”
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

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Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models by Matthew Litvinas

“…This paper explores the application of Hidden Markov Models (HMMs) to enhance existing Correlation of Forces and Means (COFM) calculators as predictive tools in military planning. …”
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Fault-Tolerant Model Predictive Control for Autonomous Underwater Vehicles Considering Unknown Disturbances by Yimin Chen, Shaowen Hao, Jian Gao, Jiarun Wang, Le Li

Subjects: “…model predictive control…”
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Predictive Compensation for Wireless Networked System with Time Delay and Packet Dropout Based on T-S Model by Le Wang, Haipeng Pan, Jinfeng Gao, Dongdong Chen

“…Based on the T-S model, a predictive compensation scheme including timer and counter for wireless networked system with long time delay and data packet dropout is proposed in this paper. …”
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Displacement Patterns and Predictive Modeling of Slopes in the Bayan Obo Open-Pit Iron Mine by Penghai Zhang, Yang Li, Xin Dong, Tianhong Yang, Honglei Liu

“…The displacement time series were decomposed using Variational Mode Decomposition (VMD) into trend and periodic components, for which Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM) models were respectively developed. The results indicate that (1) DBSCAN effectively detects clusters characterized by high average cumulative displacement and broad spatial distribution, while filtering out isolated outliers. (2) The trend component prediction achieved a coefficient of determination (R²) of 0.99755, while the periodic component prediction yielded a root mean square error (RMSE) of just 0.0978 mm. …”
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Predictive Performance Evaluation of ARIMA and Hybrid ARIMA-LSTM Models for Particulate Matter Concentration by Johanes Dian Kurniawan, Hanna Arini Parhusip, Suryasatria Trihandaru

“…This study provides an objective evaluation of prediction performance models for particulate matter policy for industrial stakeholders by comparing the ARIMA and Hybrid ARIMA-LSTM models for predicting air quality data from the industrial environment. …”
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Mixed Time/Event-Triggered Model Predictive Tracking Control for Networked Mobile Robots by Huixin Liu, Yonghua Lai, Hongsong Lian, Guobin Wang, Dongsheng Zheng

Subjects: “…Model predictive control…”
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Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia by Rayan Alsuwaigh, Christine Ang, Jessica Quah, Charlene Jin Yee Liew, Lin Zou, Xuan Han Koh, Venkataraman Narayan, Tian Yi Lu, Clarence Ngoh, Zhiyu Wang, Juan Zhen Koh, Zhiyan Fu, Han Leong Goh

“…We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its discrimination for 30-day mortality.Methods Deep-learning model using convolutional neural network (CNN) was trained with a retrospective cohort of 2235 CXRs from 1966 unique adult patients admitted for CAP from 1 January 2019 to 31 December 2019. …”
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Application of Radiomics in Predicting the Prognosis of Medulloblastoma in Children by Jiashu Chen, Wei Yang, Zesheng Ying, Ping Yang, Yuting Liang, Chen Liang, Baojin Shang, Hong Zhang, Yingjie Cai, Xiaojiao Peng, Hailang Sun, Wenping Ma, Ming Ge

“…Conclusions: Radiomic features based on T1-weighted imaging have predictive value for pediatric medulloblastoma. Radiomics has incremental value in predicting the prognosis of MB, and clinical–radiomics models have a better predictive effect than clinical models.…”
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Research on Freight Locomotive Automatic Driving Based on Predictive Control by LI Cheng, ZHANG Zhengfang, SHEN Ziyang

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Application of Multi-Scale Geological Modeling Technology in Sweet Spot Prediction of Shale Oil Reservoirs by HU Laidong, HUO Hanyong, GUAN Qianqian, TANG Caixia, TAO Ji, ZHANG Yuxuan

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Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models by Elena Albu, Shan Gao, Pieter Stijnen, Frank E. Rademakers, Christel Janssens, Veerle Cossey, Yves Debaveye, Laure Wynants, Ben Van Calster

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Enhanced Model-Free Predictive Current Control for PMSM Based on Ultra-Local Models: An Efficient Approach for Parameter Mismatch Handling by Qihong Wu, Hao Zhang, Xuewei Xiang, Hui Li

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Enhanced predictive modeling framework for multi-objective global optimization of passenger car rear seat using hybrid approximation models by Xuan Zhou, Renjie Zou, Xigui Xie, Yaoqing Liao

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Predictive Modeling the Turbidity Response in Al-Saray Water Distribution Network in Najaf Governorate/Middle of Iraq, Using PODDS Model by Abed Zahraa H., Jasem Hayder M., Mohammed Hayder S.

“…The main objective of this study is to forecast Using the Prediction of Discoloration in Distribution Systems (PODDS model), simulate the turbidity response in the Al-Saray water distribution network caused by higher flow rates and a change in the daily demand pattern for water consumption. …”
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Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model by Ting Chen, Xuefeng Zhang, Qunfeng Yu, Qin Yang, Lingmin Yuan, Fei Tong

“…ObjectiveTo explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an improved machine learning model.MethodsThis retrospective study analyzed 1,050 sepsis patients admitted to Longyou County People’s Hospital between January 2010 and August 2023. …”
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How to Choose Suitable Physics‐Based Models Without Tuning and System Identification for Model‐Predictive Control of Open Water Channels? by K. Horváth, B. vanEsch, I. Pothof

Subjects: “…model predictive control…”
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AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression by Basma Abd El Hakim, Mahmoud Abdel-Halim Abdel-Goad, M. E. Awad, Abeer M. Shoaib

“…This study integrates process modeling and control, using Aspen HYSYS for steady-state simulation and dynamic implementation of model predictive control (MPC). …”
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