Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction by J D Viqueira, D Faílde, M M Juane, A Gómez, D Mera

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Genomics vs. AI-enhanced electrocardiogram: predicting atrial fibrillation in the era of precision medicine by Jean-Marie Grégoire, Cédric Gilon, François Marelli, Hugues Bersini, Stéphane Carlier

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Improving synergistic drug combination prediction with signature-based gene expression features in oncology by Mozhgan Mozaffarilegha, Sajjad Gharaghani

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Multistep Prediction Analysis of Pure Pursuit Method for Automated Guided Vehicles in Aircraft Industry by Biling Wang, Gaojian Fan, Xinming Zhang, Liangjie Gao, Xiaobo Wang, Weijie Fu

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Development and validation of a simple-to-use nomogram for predicting severe scrub typhus in children. by Yonghan Luo, Yan Guo, Yanchun Wang, Xiaotao Yang

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A superior tool for predicting sepsis in SAH patients: The nomogram outperforms SOFA score. by Lei Yu, Shan Zou, Qingshan Zhou, Beibei Cheng, Jun Jin

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Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation by Hao Peng, Sen Shen, Haichao Zhang, Fei Wang, Fawang Guo, Ruige Zhang

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Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning by Zhiyuan Wang, Xiaogang Hu, Gan Li, Zhen Xu, Hongxing Lu, Qiang Zhu

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Obesity Status Prediction Through Artificial Intelligence and Balanced Label Distribution Using SMOTE by Arif Riyandi, Mahazam Afrad, M Yoka Fathoni, Yogo Dwi Prasetyo

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Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning by Luozhijie Jin, Zijian Du, Le Shu, Yan Cen, Yuanfeng Xu, Yongfeng Mei, Hao Zhang

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Prediction of building subsidence in Vietnam using machine learning techniques based on leveling results by Dinh Trong Tran, Ngoc Dung Luong, Dinh Huy Nguyen

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Predicting the 2023/24 El Niño from a multi-scale and global perspective by Ruikun Hu, Tao Lian, Ting Liu, Jie Wang, Xunshu Song, Hui Chen, Dake Chen

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De novo structure prediction of globular proteins aided by sequence variation-derived contacts. by Tomasz Kosciolek, David T Jones

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Facial muscle mapping and expression prediction using a conformal surface-electromyography platform by Hila Man, Paul F. Funk, Dvir Ben-Dov, Chen Bar-Haim, Bara Levit, Orlando Guntinas-Lichius, Yael Hanein

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A new intelligent time-series prediction technique for coherency identification performance enhancement by MOHD AIFAA MOHD ARIFF, Ainnur F. I. M. Shah, Nadhirah Omar, Muhammad S. A. Mustaza

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A method to manage the energy consumption of cloud centers for predictability in neuro-fuzzy networks by Ying Zhang

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Classical machine learning and artificial neural network (ANN) to predict rejection in weaving industry by Toufique Ahmed

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Metabolomic Prediction of Naphthalene Pneumo-Toxicity in the Snail <i>Helix aspersa maxima</i> by Aude Devalckeneer, Marion Bouviez, Jean-Marie Colet

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Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi by Andrew Tomes, Shahrzad Gholami, Didier Alia, Conor Hennessy, Dafeng Xu, Cecilia Bitz, Rahul Dodhia, Juan Lavista Ferres, C. Leigh Anderson

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Predicting lncRNA and disease associations with graph autoencoder and noise robust gradient boosting by Lili Tang, Liangliang Huang, Yi Yuan

“…The results demonstrated that LDA-GARB improved LDA prediction. Finally, LDA-GARB was applied to predict potential associated lncRNAs for colorectal cancer and breast cancer. …”
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