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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Multifractal based topological characterization of perovskite crystal and predictive analysis on its physical properties by K. Yogalakshmi, D. Easwaramoorthy

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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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COMPARISON OF K-NEAREST NEIGHBOR AND NEURAL NETWORK FOR PREDICTION INTERNATIONAL VISITOR IN EAST JAVA by Dina Novita, Teguh Herlambang, Vaizal Asy’ari, Arasy Alimudin, Hamzah Arof

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Comparison of Magnetospheric Multiscale ion jet signatures with predicted reconnection site locations at the magnetopause by S. M. Petrinec, J. L. Burch, S. A. Fuselier, R. G. Gomez, W. Lewis, K. J. Trattner, R. Ergun, B. Mauk, C. J. Pollock, C. Schiff, R. J. Strangeway, C. T. Russell, T.‐D. Phan, D. Young

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