Research on Predicting Super-Relational Data Links for Mine Hoists Within Hyper-Relational Knowledge Graphs by Xiaochao Dang, Xiaoling Shu, Fenfang Li, Xiaohui Dong

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Using genome‐wide associations and host‐by‐pathogen predictions to identify allelic interactions that control disease resistance by Owen Hudson, Jeremy Brawner

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Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data by Shaun Kohli, Parul Agarwal, “Andy” Ho Wing Chan, Asala Erekat, Girish Nadkarni, Benjamin Kummer

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Hyperammonemia and systemic inflammatory response syndrome predicts presence of hepatic encephalopathy in dogs with congenital portosystemic shunts. by Mickey S Tivers, Ian Handel, Adam G Gow, Vicky J Lipscomb, Rajiv Jalan, Richard J Mellanby

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Shear wave velocity prediction using Long Short-Term Memory Network with generative adversarial mechanism. by Xingan Fu, Youhua Wei, Yun Su, Haixia Hu, Ji Zhang, Quan Wang

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Prospective Study of lncRNA NORAD for Predicting Cerebrovascular Events in Asymptomatic Patients with Carotid Artery Stenosis by Yan Fan, Yan Ma, Rui Wang, Lili Wang

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Nomogram for predicting suicide risk in pancreatic cancer patients: a retrospective study based on SEER database by Jinzhe Bi, Yaqun Yu

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Predicted distribution of curl-leaf mountain mahogany (Cercocarpus ledifolius) in the Bighorn Canyon National Recreation Area. by Robert E Kissell, Michael T Tercek, David P Thoma, Kristin L Legg

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Graph-Based Semi-Supervised Learning with Bipartite Graph for Large-Scale Data and Prediction of Unseen Data by Mohammad Alemi, Alireza Bosaghzadeh, Fadi Dornaika

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Predicting the Compression Capacity of Screw Piles in Sand Using Machine Learning Trained on Finite Element Analysis by David Igoe, Pouya Zahedi, Hossein Soltani-Jigheh

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ML enhanced bioactivity prediction for angiotensin II receptor: A potential anti-hypertensive drug target by Jeyanthi Sankar, Venkatesh Rajendran, Beena Briget Kuriakose, Amani Hamad Alhazmi, Ling Shing Wong, Karthikeyan Muthusamy

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Experimental investigation and prediction of tribological behavior of unidirectional short castor oil fiber reinforced epoxy composites by Rajesh Egala, G. V. Jagadeesh, Srinivasu Gangi Setti

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Evaluating the performance of Random Forest, Decision Tree, Support Vector Regression and Gradient Boosting for streamflow prediction by Osahon Idemudia, Jacob Odeh Ehiorobo, Christopher Osadolor Izinyon, Idowu Ilaboya

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Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach. by Li Luyao, Abdullah Al Mamun, Naeem Hayat, Qing Yang, Mohammad Enamul Hoque, Noor Raihani Zainol

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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

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Data-Driven Prediction of Grape Leaf Chlorophyll Content Using Hyperspectral Imaging and Convolutional Neural Networks by Minglu Zeng, Xinghui Zhu, Ling Wan, Jian Xu, Luming Shen

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Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine) by Chuin-Hen Liew, Song-Quan Ong, David Chun-Ern Ng

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Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network by Leixia Tian, Qi Wang, Zhiheng Zhou, Xiya Liu, Ming Zhang, Guiying Yan

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Prediction of COVID-19 Effect on Patients during Six Month After Recovery, by Using AI Algorithm by hanan aldabagh, Ghaydaa Al-Talib

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Predicting psychotic-like experiences among adolescents: the interplay of childhood trauma, cognitive biases, neuroticism, and depression by Chang Xi, Xin Xu, Song Wang

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