An AI-Enabled Framework for <i>Cacopsylla chinensis</i> Monitoring and Population Dynamics Prediction by Ruijun Jing, Deyan Peng, Jingtong Xu, Zhengjie Zhao, Xinyi Yang, Yihai Yu, Liu Yang, Ruiyan Ma, Zhiguo Zhao

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Computational study and prediction of infection risk probability of respiratory diseases inside a classroom by Oskar Urbina-Garcia, Iñigo Aramendia, Carolina Marugán-Cruz, Wilfried Coenen, Sergio Sánchez-Delgado, Unai Fernandez-Gamiz, Ekaitz Zulueta

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Optimizing prediction of metastasis among colorectal cancer patients using machine learning technology by Raoof Nopour

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Nutrient Content Prediction and Geographical Origin Identification of Bananas by Combining Hyperspectral Imaging with Chemometrics by Honghui Xiao, Chunlin Li, Mingyue Wang, Zhibo Huan, Hanyi Mei, Jing Nie, Karyne M. Rogers, Zhen Wu, Yuwei Yuan

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Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit by Jean Digitale, Deborah Franzon, Jin Ge, Charles McCulloch, Mark J. Pletcher, Efstathios D. Gennatas

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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

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Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus by Qipeng Wei, Zihao Liu, Xiaofeng Chen, Hao Li, Weijun Guo, Qingyan Huang, Jinxiang Zhan, Shiji Chen, Dongling Cai, Dongling Cai

“…Eight supervised ML algorithms were applied to construct predictive models. Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), calibration plots, decision curve analysis (DCA), accuracy, sensitivity, specificity, and F1 score. …”
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Research on the Prediction Model and Formation Law of Drying Cracks of Paddy Based on Multi-Physical Field Coupling by Hongchao Wang, Ziyu Wang, Gang Che, Lin Wan, Zhengfa Chen

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Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples by Alparthi Kumuda, Saroj Kumar Panigrahy

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The Forecast of the Wind Turbine Generated Power Using Hybrid (LTC + XGBoost) Model by Justina Krevnevičiūtė, Arnas Mitkevičius, Darius Naujokaitis, Ingrida Lagzdinytė-Budnikė, Mantas Marčiukaitis

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Prediction of tumor deposits in stage I-III gastric cancer: a clinically applicable nomogram integrating clinicopathology outcomes by Kunjie Wang, Yue Huo, Yuanfang Zhang, Song Guo, Weiguang Yu, Na Xiao, Shenyong Su, Lin An

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EMI Prediction on Ripple Effect of Voltage-Controlled Ramp Waveform via ARIMA-MLR Hybrid Model by Mohammad Yanuar Hariyawan, Mochamad Nizar Palefi Ma'ady, Helmy Widyantara, Vania Martha Aurellia Lubis

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Comprehensive genetic analysis and predictive evaluation of milk electrical conductivity for subclinical mastitis in Chinese Holstein cows by Xubin Lu, Mingxue Long, Zhijian Zhu, Haoran Zhang, Fuzhen Zhou, Zongping Liu, Yongjiang Mao, Zhangping Yang

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AutoML for calorific value prediction using a large database from the coal gasification practices in China by Yuchao Guo, Xia Liu, Yunfei Gao, Xiaoyu Wang, Lu Ding, Weitong Pan, Cheng Hua, Yulian He, Xueli Chen, Zhenghua Dai, Guangsuo Yu, Fuchen Wang

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Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region by Junyu Chen, Yan Zhu, Shengnan Wu, Chuanming Yang, Huimin Wang

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Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction by Fabian Obster, Monica I. Ciolacu, Andreas Humpe

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Early Prediction of Students’ Performance Through Deep Learning: A Systematic and Bibliometric Literature Review by İhsan Hakan Selvi, Tuğba Yıldız, Orhan Torkul, Ahmet Kala

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SHAP combined with machine learning to predict mortality risk in maintenance hemodialysis patients: a retrospective study by Peng Shu, Xia Wang, Zhuping Wen, Jie Chen, Fang Xu

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A photoconversion model for full spectral programming and multiplexing of optogenetic systems by Evan J Olson, Constantine N Tzouanas, Jeffrey J Tabor

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Improved Deadbeat Predictive Direct Power Control for Three-Phase PWM Rectifier Based on LADRC by He Ma, Xuliang Yao, Jingfang Wang, Xinghong Luo, Shengqi Huang

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