A Novel Nomogram for Predicting the Risk of Pneumonia After Intracerebral Hemorrhage by Sun Y, Zhang L, Huang B, He Q, Hu B

“…Moreover, the area under the curve of the catboost model established using the above nine variables in the training set and the validation set is 0.87(95% CI, 0.80– 0.90) and 0.77(95% CI, 0.72– 0.80).Conclusion: We have established a simple and easy predictive tool. By evaluating the incidence of pneumonia after intracerebral hemorrhage, we can identify high-risk groups early. …”
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Seismic Damage Prediction Method for Lining Structures Based on the SEDR Principle by Q. Zheng, C. L. Xin, Y. S. Shen, Z. M. Huang, B. Gao

“…Taking account of that deficiency, this paper introduces the strain energy density ratio (SEDR) principle and proposes a seismic damage prediction method for lining structures, which can precisely predict the crack positions and expansion directions. …”
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Predicting climate-change impacts on the global glacier-fed stream microbiome by Massimo Bourquin, Hannes Peter, Grégoire Michoud, Susheel Bhanu Busi, Tyler J. Kohler, Andrew L. Robison, Mike Styllas, Leïla Ezzat, Aileen U. Geers, Matthias Huss, Stilianos Fodelianakis, The Vanishing Glaciers Field Team, Tom J. Battin

“…Concomitantly, predictions suggest that the phylogenetic structure of the GFS microbiome will change and entire bacterial clades are at risk. …”
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Intelligent Controller Design and Fault Prediction Using Machine Learning Model by Kailash Kumar, Suyog Vinayak Pande, T. Ch. Anil Kumar, Parvesh Saini, Abhay Chaturvedi, Pundru Chandra Shaker Reddy, Krishna Bikram Shah

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MKER: multi-modal knowledge extraction and reasoning for future event prediction by Chenghang Lai, Shoumeng Qiu

Subjects: “…Future event prediction…”
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Prediction model of adult flight activities of Synanthedon bicingulata (Lepidoptera, Sesiidae) by Hyeon-Ji Yang, Seonwoong Nah, Hyunjung Kim, Sunghoon Baek

“…The developed model well predicted its historical emergence in field conditions. …”
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The Influence of Interference Layer on the Prediction of Seismic Information of Channel Sedimentary Reservoir by Xiangsheng Bao, Zhanhu Cai, Qingzhen Wang, Junfeng Yu, Yecheng Li

“…On this basis, the time window control theory of channel reservoir prediction was clarified. The seismic information which reflects the channel reservoir reliably can be obtained by avoiding the maximum interference area, especially the main interference area.…”
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Appropriate Dynamic-Stall Models for Performance Predictions of VAWTs with NLF Blades by Christian Masson, Christophe Leclerc, Ion Paraschivoiu

“…This is achieved by the application of the double-multiple-streamtube model of Paraschivoiu to the performance predictions of VAWTs equipped with conventional and NLF blades. …”
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Negative Correlation Learning for Customer Churn Prediction: A Comparison Study by Ali Rodan, Ayham Fayyoumi, Hossam Faris, Jamal Alsakran, Omar Al-Kadi

“…Therefore, adopting accurate models that are able to predict customer churn can effectively help in customer retention campaigns and maximizing the profit. …”
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Machine Learning-Based Modeling of Celeration for Predicting Red-Light Violations by Mahmoud Masoud

“…Using cutting-edge machine learning methods like AdaBoost and Bagging, predictive models for red-light violations are painstakingly built, achieving remarkable validation accuracies of 90.4% and 90.1%, respectively. …”
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Critical length parameter of HDPE and its use in fatigue lifetime predictions by Kamila Kozáková, Lukáš Trávníček, Jan Poduška, Jan Klusák

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Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

“…This study presents a machine-learning-based model for predicting the performance of radiative cooling aerogels (RCAs). …”
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Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park, Osvaldo Simeone

Subjects: “…Conformal prediction (CP)…”
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Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products by Van Thuy Hoang, Tien-Bach-Thanh do, Jinho Seo, Seung Charlie Kim, Luong Vuong Nguyen, Duong Nguyen Minh Huy, Hyeon-Ju Jeon, O-Joun Lee

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Predictive Modeling of a Two-Stage Gearbox towards Fault Detection by Edward J. Diehl, J. Tang

“…The comparison confirms that both the frequency content and the predicted, relative response magnitudes match with physical measurements. …”
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Autopilot Design Method for the Blended Missile Based on Model Predictive Control by Baoqing Yang, Yuyu Zhao

“…Thirdly, a hybrid model predictive control (MPC) method is employed to design autopilot. …”
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Robust Prediction of Healthcare Inflation Rate With Statistical and AI Methods in Iran by Mohammad Javad Shaibani, Ali Akbar Fazaeli

“…As a result, in shorter steps, the Holt–Winters method can provide a better prediction, while in longer windows, Bayesian NARANN can be implemented vigorously for the prediction. …”
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Prediction of Preterm Birth by Maternal Characteristics and Medical History in the Brazilian Population by Enio Luis Damaso, Daniel Lober Rolnik, Ricardo de Carvalho Cavalli, Silvana Maria Quintana, Geraldo Duarte, Fabricio da Silva Costa, Alessandra Marcolin

“…The aim of this study was to assess the performance of a previously published algorithm for first-trimester prediction of spontaneous preterm birth (PTB) in a cohort of Brazilian women. …”
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Aquatic Toxicology Notes: Predicting the Fate and Effects of Aquatic and Ditchbank Herbicides by Chris Wilson

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Research on Risk Prediction Model of Internet Finance Based on Cloud Computing by Shuanbao Li, Xiaoyan Liu, Chengfei Li

“…With the rapid development of the Internet, the traditional Internet financial risk prediction methods can no longer meet the needs of individuals and enterprises, so the concept of cloud computing arises at the historic moment. …”
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