Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

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Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysisResearch in context by Ying Zhang, Thi Quynh Anh Ho, Fern Terris-Prestholt, Matthew Quaife, Esther de Bekker-Grob, Peter Vickerman, Jason J. Ong

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A Coupled Model for Forecasting Spatiotemporal Variability of Regional Drought in the Mu Us Sandy Land Using a Meta-Heuristic Algorithm by Changfu Tong, Hongfei Hou, Hexiang Zheng, Ying Wang, Jin Liu

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Validation of the P-POSSUM score in predicting outcomes in emergency craniotomy: A prospective observational study by Hari Prakash Rai, Shivam Sharma

Subjects: “…p-possum score; emergency craniotomy; postoperative mortality; predictive accuracy; neurosurgical risk assessment…”
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Bayesian modeling of incompatible spatial data: A case study involving Post-Adrian storm forest damage assessment by Lu Zhang, Andrew O. Finley, Arne Nothdurft, Sudipto Banerjee

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Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems by Vini Antony Grace N, Ghadah Aldehim, Nuha Alruwais, Prabakar T.N.

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Research note: A low-density SNP genotyping panel for Chinese native chickens by Jie Wang, Siyuan Xing, Yan Zhou, Jie Liu, Yan Sun, Qiuxia Lei, Haixia Han, Wei Liu, Dapeng Li, Fuwei Li, Dingguo Cao

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Genomic selection for resistance to one pathogenic strain of Vibrio splendidus in blue mussel Mytilus edulis by Munusamy Ajithkumar, Jonathan D’Ambrosio, Marie-Agnès Travers, Romain Morvezen, Lionel Degremont

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Current Situation and Developing Trend of Fatigue Life Prediction of Components based on Data-driven by Xiuhua Zhang, Huaiju Liu, Caichao Zhu, Peitang Wei, Shaojie Wu

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Prediction of Fading for Painted Cultural Relics Using the Optimized Gray Wolf Optimization-Long Short-Term Memory Model by Zhen Liu, An-Ran Zhao, Si-Lu Liu

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Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data by Anya H. Fries, Eunji Choi, Summer S. Han

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Evaluation of machine learning models for predicting performance metrics of aero-engine combustors by Huan Yang, Shu Guo, Haolin Xie, Jian Wen, Jiarui Wang

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Optimizing the selection of quantitative traits in plant breeding using simulation by Rafael Augusto Vieira, Ana Paula Oliveira Nogueira, Roberto Fritsche-Neto

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Equations to Predict Carbon Monoxide Emissions from Amazon Rainforest Fires by Sarah M. Gallup, Bonne Ford, Stijn Naus, John L. Gallup, Jeffrey R. Pierce

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Inclusion of covariables in genome-wide selection models for prediction accuracy by Leonardo de Azevedo Peixoto, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Cosme Damião Cruz, Leonardo Lopes Bhering

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The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks by Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman

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Three-State Hidden Markov Model for Spectrum Prediction in Cognitive Radio Networks by Emmanuel Oluwatosin Rabiu, Damilare Oluwole Akande, Zachaeus Kayode Adeyemo, Isaac Akinwale Akanbi, Oluwole Oladele Obanisola

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Research on Prediction of Wear Amount in the Gear Transmission Process Under Complex Working Conditions by Tang Aiwu, Chen Tianyou

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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

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Influence of Modal Decomposition Algorithms on Nonlinear Time Series Machine Learning Prediction Models in Engineering: A Case Study of Subway Tunnel Settlement by Qingmeng Shen, Yuming Wu, Limin Wan, Qian Chen, Yue Li, Zichao Liao, Wenbo Wang, Feng Li, Tao Li, Jiajun Shu

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