Conciliating accuracy and efficiency to empower engineering based on performance: a short journey by Chinesta, Francisco, Cueto, Elias

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Leveraging climate and remote sensing metrics for predicting forest carbon stock using Bayesian geostatistical modelling under a projected climate warming in Zimbabwe by Tsikai S. Chinembiri, Onisimo Mutanga, Timothy Dube

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Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study by Wentong Liu, Kaiyue Ji, Qianwen Tang, Weiqi Xia, Wei Zhang, Lina Shao, Jiana Shi, Yukun Li, Ping Huang, Xiaolan Ye

“…Additionally, a web-based calculator based on the model was developed. Results Among the nine ML models evaluated, the Grandient Boosting Machine (GBM) model achieved the best predictive performance. …”
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Assessing the Potential Distribution of <i>Lonicera japonica</i> in China Under Climate Change: A Biomod2 Ensemble Model-Based Study by Yaxuan Pan, Yijie Guan, Shan Lv, Xiaoyu Huang, Yijun Lin, Chaoyang Wei, Danping Xu

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Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable... by Yongchuang Shi, Lei Yan, Shengmao Zhang, Fenghua Tang, Shenglong Yang, Wei Fan, Haibin Han, Yang Dai

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Advancement of Artificial Intelligence in Cost Estimation for Project Management Success: A Systematic Review of Machine Learning, Deep Learning, Regression, and Hybrid Models by Md. Mahfuzul Islam Shamim, Abu Bakar bin Abdul Hamid, Tadiwa Elisha Nyamasvisva, Najmus Saqib Bin Rafi

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Physiologically based pharmacokinetic modeling to predict the effect of risperidone on aripiprazole pharmacokinetics in subjects with different CYP2D6 genotypes and individuals wit... by Fan Mou, Zhiwei Huang, Yu Cheng, Xue Zhao, Xiujia Sun, Huafang Li, Shunying Yu

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Hydrodynamic Performance of High-Speed Craft: A CFD Study on Spray Rails by Muhammad Sulman, Simone Mancini, Rasul Niazmand Bilandi, Luigi Vitiello

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Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis by Yuxing Liu, Jintao Chen, Daifeng Yang, Chenming Liu, Chunhui Tang, Shanshan Cai, Yingxuan Huang

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Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis by Meng Zhao, Zhixin Yao, Yan Zhang, Lidan Ma, Wenquan Pang, Shuyin Ma, Yijun Xu, Lili Wei

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External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands by Pieter J. Westenend, Claudia Meurs, Gerardo Fernandez, Marcel Prastawa, Abishek Sainath Madduri, Aaron Feliz, Juan Carlos Mejias, Alexander Shtabsky, Xiaozhu Zhang, Brandon Veremis, Rebecca DeAngel, Michael J. Donovan

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Nodal staging score: A tool to quantify the number of lymph nodes for examination and predict survival in IB–IIA cervical cancer by Hongrui Qiu, Xingyuan Hu, Qizhi Huang, Yinan Feng, Hongwei Lin, Huili Wang, Zhenyu Huang, Jinhang Leng

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Clinical Characteristics and a Novel Prediction Nomogram (EASTAR) for Patients with Hemorrhagic Fever with Renal Syndrome: A Multicenter Retrospective Study by Ke Ma, Ting Wu, Wei Guo, Jun Wang, Quan Ming, Jun Zhu, Hongwu Wang, Guang Chen, Xiaojing Wang, Weiming Yan, Xiaoping Luo, Tao Chen, Qin Ning

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Study of Recent Image Restoration Techniques: A Comprehensive Survey by Nikita Singhal, Anup Kadam, Pravesh Kumar, Hritik Singh, Aaryan Thakur, Pranay

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Predictive model integrating deep learning and clinical features based on ultrasound imaging data for surgical intervention in intussusception in children younger than 8 months by Wan-liang Guo, Yu-feng Qian, Jin-jin Zhou, San-li Shi

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Wear Characterization and Coefficient of Friction Prediction Using a Convolutional Neural Network Model for Chromium-Coated SnSb11Cu6 Alloy by Mihail Kolev, Vladimir Petkov, Veselin Petkov, Rositza Dimitrova, Shaban Uzun, Boyko Krastev

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An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction by Mohamed Ahwiadi, Wilson Wang

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Applying clustered artificial neural networks to enhance contaminant diffusion prediction in geotechnical engineering by Shaymaa Alsamia, Edina Koch

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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

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VITA-D: A Radiomic Web Tool for Predicting Vitamin D Deficiency Levels by Yuliana Jiménez-Gaona, Oscar Vivanco-Galván, Darwin Castillo-Malla, Israel Vivanco-Gualán, Patricia Díaz-Guzmán

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