A Study of Load Characteristics Analysis and Prediction of Urban Power Grids by Zhang Yi

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Disease candidate genes prediction using positive labeled and unlabeled instances by Sepideh Molaei, Saeed Jalili

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A cognition‐inspired trajectory prediction method for vehicles in interactive scenarios by Shanshan Xie, Jiachen Li, Jianqiang Wang

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Predicting survival in prospective clinical trials using weakly-supervised QSP by Matthew West, Kenta Yoshida, Jiajie Yu, Vincent Lemaire

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Theory of Planned Behavior in predicting condom use in Latin-American Women by David Javier Enríquez-Negrete, Ricardo Sánchez-Medina, Susana Xóchitl Bárcena-Gaona, Itzel Guadalupe Chávez-Santos

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Finding a constrained number of predictor phenotypes for multiple outcome prediction by Patrick B Ryan, Egill A Fridgeirsson, Jenna M Reps, Luis H John, Chungsoo Kim, Jenna Wong, Ross D Williams, Renae R Fisher

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Use Self-Training Random Forest for Predicting Winter Wheat Yield by Yulin Shen, Benoît Mercatoris, Qingzhi Liu, Hongxun Yao, Zongpeng Li, Zhen Chen, Wensheng Wang

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Brain Age Prediction Using a Lightweight Convolutional Neural Network by Fatma Eltashani, Mario Parreno-Centeno, James H. Cole, Joao Paulo Papa, Fumie Costen

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Effectiveness of Open, High and Low Prices in Stock Market Price Prediction by Collins C. Ngwakwe

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Learning motif features and topological structure of molecules for metabolic pathway prediction by Jianguo Hu, Yiqing Zhang, Jinxin Xie, Zhen Yuan, Zhangxiang Yin, Shanshan Shi, Honglin Li, Shiliang Li

“…MotifMol3D is an open-source tool that is available at https://github.com/Irena-Zhang/MotifMol3D.git . Scientific contribution MotifMol3D integrates motif information, graph neural networks, and 3D structural data to enhance feature extraction for small-sample molecules, improving the precision and interpretability of metabolic pathway predictions. …”
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From word models to executable models of signaling networks using automated assembly by Benjamin M Gyori, John A Bachman, Kartik Subramanian, Jeremy L Muhlich, Lucian Galescu, Peter K Sorger

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Improving the accuracy of geological models and seismic sedimentology using sedimentary forward modeling by Fan Zuochun, Fan Zuochun, Hu Changhao, Jiang Shu, Yao Rui, Li Man, Zhao Lintian

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The prediction of haemophilic arthropathy progression based on MRI findings and clinical characteristics by Lu Zhang, Jinxia Guo, Shufang Wei, Jiajia Li, Yincong Dou, Tianming Cheng, Yinghui Ge, Tuo Zhang

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A time series algorithm to predict surgery in neonatal necrotizing enterocolitis by Cheng Cui, Ling Qiu, Ling Li, Fei-Long Chen, Xiao Liu, Huan Sun, Xiao-Chen Liu, Lei Bao, Lu-Quan Li

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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction. by Muhammad Rizwan Khurshid, Sadaf Manzoor, Touseef Sadiq, Lal Hussain, Mohammed Shahbaz Khan, Ashit Kumar Dutta

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Water pollution risk simulation and prediction in a drinking water catchment by LI Dan, LIANG Xinqiang, WU Jiaping

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A Multi-Mode Dynamic Fusion Mach Number Prediction Framework by Luping Zhao, Weihao Li, Wentao Xu

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Prediction of electric power and load forcasting using LSTM technique for EMS by Moustakim Mohammed Amine, Nasser Tamou, Elkamoun Najib, Essadki Ahmed

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Modelling Neonatal Care Pathways for Babies Born Preterm: An Application of Multistate Modelling. by Sarah E Seaton, Lisa Barker, Elizabeth S Draper, Keith R Abrams, Neena Modi, Bradley N Manktelow, UK Neonatal Collaborative

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Evaluating RANS and LES turbulence models in hybrid wave modelling of breaking waves by Chengzhao Zhang, Eugeny Buldakov

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