Investigating and predicting land use changes in Tehran metropolis using remote sensing technology by Adel Khazaei, Majid Abbaspour, Sasan Babaei Kafaky, Lobat Taghavi, Yousef Rashidi

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Spinal cord demyelination predicts neurological deterioration in patients with mild degenerative cervical myelopathy by Jefferson R Wilson, David Anderson, Stephan Duplessis, Julien Cohen-Adad, David W Cadotte, Nathan Evaniew, Jacques Bouchard, Michael Craig, Abdul Al-Shawwa, Kalum Ost, Steve Casha, W Bradley Jacobs, Saswati Tripathy, Peter Lewkonia, Fred Nicholls, Alex Soroceanu, Ganesh Swamy, Kenneth C Thomas, Michael MH Yang, Nicholas Dea

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Strategying continuous vocational training in digital economy by N. А. Simchenko, N. Yu. Anisimova

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Investigating the use of chatGPT as a tool for enhancing critical thinking and argumentation skills in international relations debates among undergraduate students by Mario de la Puente, Jose Torres, Ana Laura Blanco Troncoso, Yuraima Yuliza Hernández Meza, Jenny Xiomara Marquez Carrascal

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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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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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