LLM-Prop: predicting the properties of crystalline materials using large language models by Andre Niyongabo Rubungo, Craig Arnold, Barry P. Rand, Adji Bousso Dieng

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Predicting Soft Soil Settlement with a FAGSO-BP Neural Network Model by Binhui Ma, Yarui Xiao, Tian Lan, Chao Zhang, Zengliang Wang, Zeshi Xiang, Yuqi Li, Zijing Zhao

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Conditional autoregressive model based on next scale prediction for missing data reconstruction by Shuang Wang, Xiangpeng Wang, Yuhan Yang, Peifan Jiang, Bin Wang, Yuanhao Li

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Environment ensemble models for genomic prediction in common bean (Phaseolus vulgaris L.) by Isabella Chiaravallotti, Owen Pauptit, Valerio Hoyos‐Villegas

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Using the TSA-LSTM two-stage model to predict cancer incidence and mortality. by Rabnawaz Khan, Wang Jie

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Models Development for Prediction of Blast Efficiency and Total Charge in a Typical Quarry by Kayode Augustine Idowu, Zakari Adamu

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Large language model trained on clinical oncology data predicts cancer progression by Menglei Zhu, Hui Lin, Jue Jiang, Abbas J. Jinia, Justin Jee, Karl Pichotta, Michele Waters, Doori Rose, Nikolaus Schultz, Sulov Chalise, Lohit Valleru, Olivier Morin, Jean Moran, Joseph O. Deasy, Shirin Pilai, Chelsea Nichols, Gregory Riely, Lior Z. Braunstein, Anyi Li

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Thermal Performance of Lightweight Earth: From Prediction to Optimization through Multiscale Modeling by Séverine Rosa Latapie, Vincent Sabathier, Ariane Abou-Chakra

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Rainfall‐Runoff Modeling in Rocky Headwater Catchments for the Prediction of Debris Flow Occurrence by Martino Bernard, Matteo Barbini, Matteo Berti, Mauro Boreggio, Alessandro Simoni, Carlo Gregoretti

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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

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Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions by R. L. Bailey, M. A. Reiss, C. N. Arge, C. Möstl, C. J. Henney, M. J. Owens, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter

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Development and validation of a novel coronary artery disease risk prediction model by Zu-Fei Wu, Si-Xiao Tao, Wen-Tao Su, Shi Chen, Bai-Da Xu, Gang-Jun Zong, Gang-Yong Wu

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Potential cerebrospinal fluid metabolomic biomarkers and early prediction model for Parkinson’s disease by Yifan Zhang, Yifan Zhang, Yuexin Yan, Xiangxu Kong, Haijun Zhang, Shengyuan Su

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Application and optimization of BP prediction model driven by internet of things in tourism education by Qi Lv

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Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

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Deep Learning-Based Daily Streamflow Prediction Model for the Hanjiang River Basin by Jianze Huang, Jialang Chen, Haijun Huang, Xitian Cai

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An ensemble learning model to predict lymph node metastasis in early gastric cancer by Kaiqing Song, Jiaming Wu, Muchen Xu, Mengying Li, Yuqi Chen, Yi Zhang, Hong Chen, Caifeng Jiang

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Prediction of Monoclonal Antibody Pharmacokinetics in Pediatric Populations Using PBPK Modeling and Simulation by Chiara Zunino, Virginie Gualano, Haiying Zhou, Viera Lukacova, Maxime Le Merdy

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Flow Field Analysis and Development of a Prediction Model Based on Deep Learning by Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu

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Integrating Bayesian and neural networks models for eye movement prediction in hybrid search by Gonzalo Ruarte, Gaston Bujia, Damián Care, Matias Julian Ison, Juan Esteban Kamienkowski

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