A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction by SongTao Zhang, LiHong Yang

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Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks by Songbin Liu, Zhaoshun Jiang, Pei Ye, Feidong Lv, Fei Tao, Yuxi Cai, Lina Yi, Shihong Li, Guoqing Wu, Jun Zhang, Weidong Gu

“…However, effective preoperative prediction methods remain lacking. We developed a machine learning model using graph theory analysis of resting-state functional connectivity networks to predict postoperative visual cognitive impairment. …”
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Artificial Neural Network Approach for Predicting Enzymatic Hydrolysis of Steam Exploded Pine Wood Chip in Mild Alkaline Pretreatment by Hyeon Cheol Kim, Si Young Ha, Jae-Kyung Yang

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Development of a clinical-radiological nomogram for predicting severe postoperative peritumoral brain edema following intracranial meningioma resection by Chen Bo, Geng Ao, Lu Siyuan, Lu Siyuan, Wu Ting, Wang Dianjun, Zhao Nan, Shan Xiuhong, Deng Yan, Sun Eryi

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Framework for truck–RPAS hybrid models in last-mile delivery by Armin Mahmoodi, Leila Hashemi, Jeremy Laliberte

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Analysis and Application of the CAUSE Model in Regional Disaster Prevention Measures by Zhijun Tang, Takeyasu Suzuki, Shangning Tao, Linyao Dong, Zhongjie Fan

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Source Width of Frontal Phantom Sources: Perception, Measurement, and Modeling by Matthias FRANK

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Impact of Weather Conditions on Energy Consumption Modeling for Electric Vehicles by Maksymilian Mądziel

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Foundation models for materials discovery – current state and future directions by Edward O. Pyzer-Knapp, Matteo Manica, Peter Staar, Lucas Morin, Patrick Ruch, Teodoro Laino, John R. Smith, Alessandro Curioni

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Challenges in data-driven geospatial modeling for environmental research and practice by Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev

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Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection by Weihai Huang, Yulan Lin, Enling Xu, Yanmei Ji, Jing Wang, Fengqiong Liu, Fa Chen, Yu Qiu, Bin Shi, Lisong Lin, Baochang He

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Preoperative DBT-based radiomics for predicting axillary lymph node metastasis in breast cancer: a multi-center study by Shuyan He, Biao Deng, Jiaqi Chen, Jiamin Li, Xuefeng Wang, Guanxing Li, Siyu Long, Jian Wan, Yan Zhang

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Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning by Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

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Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism. by Shuo Hu, Jing Hu, Xiaolong Zhang, Shuting Jin, Xin Xu

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Prediction of the Non-Reducing Biomineralization of Nuclide–Microbial Interactions by Machine Learning: The Case of Uranium and <i>Bacillus subtilis</i> by Shirong Qiang, Leijin Liu, Siqi Li, Shuang Wang, Xinyang Huang, Jiaxin Yang, Jiayu Song, Yue Zhang, Yongxiang Huang, Qiaohui Fan

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Nomogram to predict cumulative live birth rate following in vitro fertilization/intracytoplasmic sperm injection cycles in patients with endometriosis by Linling Zhu, Tongtong Lin, Xinyun Yang, Dan Zhang

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Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study. by Liyu Lin, Yirui Xie, Zhuangteng Lin, Cuiyan Lin, Yichun Yang

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Enhanced Malignancy Prediction of Small Lung Nodules in Different Populations Using Transfer Learning on Low-Dose Computed Tomography by Jyun-Ru Chen, Kuei-Yuan Hou, Yung-Chen Wang, Sen-Ping Lin, Yuan-Heng Mo, Shih-Chieh Peng, Chia-Feng Lu

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Metro Foundation Pit Deformation Prediction Method Based on CNN-GRU Neural Network under Incomplete Data Condition by ZHOU Yi, WANG Zhangqiong, ZOU Yuangeng, CAI Yonghui, XU Xiaoya, ZHAO Qilin

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Developing and validating an artificial intelligence-based application for predicting some pregnancy outcomes: a multi-phase study protocol by Fatemeh Shabani, Ata Jodeiri, Sakineh Mohammad‑Alizadeh‑Charandabi, Fatemeh Abbasalizadeh, Jafar Tanha, Mojgan Mirghafourvand

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