Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies. by Matt J Keeling, Edward M Hill, Erin E Gorsich, Bridget Penman, Glen Guyver-Fletcher, Alex Holmes, Trystan Leng, Hector McKimm, Massimiliano Tamborrino, Louise Dyson, Michael J Tildesley

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Prediction of 5-year survival in patients with heart failure and implanted cardiac resynchronization therapy devices by A. M. Soldatova, V. A. Kuznetsov, E. A. Gorbatenko, T. N. Enina, L. M. Malishevsky

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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

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Lactate metabolism-related genes serve as potential biomarkers for predicting gastric cancer progression and immunotherapy by Mingjie Yuan, Xuekai Li, Xuanli Song, Xiaowei Chen, Yunshan Wang, Shuyi Han, Yang Ni, Duanrui Liu

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Segmentation of ADPKD Computed Tomography Images with Deep Learning Approach for Predicting Total Kidney Volume by Ting-Wen Sheng, Djeane Debora Onthoni, Pushpanjali Gupta, Tsong-Hai Lee, Prasan Kumar Sahoo

“…<b>Results:</b> The experimental results demonstrate that the proposed AI-based models outperform other DL architectures, achieving a mean Average Precision (mAP) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>95</mn><mo>%</mo></mrow></semantics></math></inline-formula> for automatic localization, a mean Intersection over Union (mIoU) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>92</mn><mo>%</mo></mrow></semantics></math></inline-formula> for segmentation, and a mean <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> score of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>97</mn><mo>%</mo></mrow></semantics></math></inline-formula> for TKV estimation. …”
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Dynamic Fusion of LSTM Predictions Using Reinforcement Learning-Based GOWLA for Human Activity Recognition by Hayder K. Fatlawi, Attila Kiss

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Statistical analysis and machine learning of TMS-induced MEPs for predicting poststroke motor impairment and performance by Chun-Ren Phang, Shintaro Uehara, Sachiko Kodera, Akiko Yuasa, Shin Kitamura, Yohei Otaka, Akimasa Hirata

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A study on predicting impaired fasting glucose risk in Chinese adults based on individual characteristics by Yijun Lin, Wenxu Wu, Wenxu Wu, Xiaoyan Liang, Liping Zhou, Gan Li, Cuiling Kang, Wuzhen Li, Chunyi Huang, Feng Tian

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Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department by Yu-Hsin Chang, Ying-Chen Lin, Fen-Wei Huang, Dar-Min Chen, Yu-Ting Chung, Wei-Kung Chen, Charles C.N. Wang

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A novel lactylation-related gene signature to predict prognosis and treatment response in lung adenocarcinoma by Hongyi Zhang, Hongyi Zhang, Yihao Liu, Xuanguang Li, Chen Ding, Chunqiu Xia, Hua Huang, Hongyu Liu, Jun Chen, Jun Chen

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A Nomogram for Predicting Hospital Mortality in Patients with COVID-19 Admitted to the Intensive Care Unit by A. N. Kuzovlev, L. V. Ermokhina, N. S. Melnikova, L. B. Berikashvili, M. Ya. Yadgarov, K. K. Kadantseva, N. I. Chaus, S. N. Perekhodov, T. S. Serkova, V. V. Likhvantsev

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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

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Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation by Adam J. Shephard, Hanya Mahmood, Shan E. Ahmed Raza, Anna Luíza Damaceno Araújo, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot

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Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment by Chaojuan Huang, Yuyang Zhang, Mingxu Li, Qiuju Gong, Siqi Yu, Zhiwei Li, Mengmeng Ren, Xia Zhou, Xiaoqun Zhu, Zhongwu Sun

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Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 by Jiaqian Zheng, Jiaqian Zheng, Jiaqian Zheng, Weiwen Mao, Mengqian Sang, Xinyu Pan, Yiluo Xie, Yichi Xie, Yichi Xie

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Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression by Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb

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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

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Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory by Chaowei Wang, Chensheng Li, Cai Qin, Weidong Wang, Xiuhua Li

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Safety-critical nonlinear optimal predictive control with adaptive error elimination algorithm for robotic system by Wang Helin

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Predicting Student Loyalty in Higher Education Using Machine Learning: A Random Forest Approach by Qoriani Widayati, Kusworo Adi, R Rizal Isnanto, Eka Puji Agustini, Dewa Rizki Rahmat Julianto, Fawwaz Bimo Prakasa

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