Random forest-based frame work for multi-distress prediction in CRCP: a feature importance approach by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada, Muamer Abuzwidah

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EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction by Shanshan Yu, Danhuai Guo, Yanjie Fu, Wei Jin

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Improved and Interpretable Solar Flare Predictions With Spatial and Topological Features of the Polarity Inversion Line Masked Magnetograms by Hu Sun, Ward Manchester IV, Yang Chen

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Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM. by Judita Rudokaite, Sharon Ong, Itir Onal Ertugrul, Mart P Janssen, Elisabeth Huis In 't Veld

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Enhancing the prediction of vitamin D deficiency levels using an integrated approach of deep learning and evolutionary computing by Ahmed Alzahrani, Muhammad Zubair Asghar

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Rack1 and Pon1 as predictive hub genes in WNT-based oral cancer: an interactomic approach by Yadalam Pradeep Kumar, Ramadoss Ramya, Anegundi Raghavendra Vamsi, Arumuganainar Deepavalli, Brahmbhatt Nilam, Mathew Asok, Ardila Carlos M

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Predicting prognosis using stroke-heart indicator: brain natriuretic peptide in patients with aneurysmal subarachnoid hemorrhage by Jionghao Xue, Jionghao Xue, Fa Lin, Fa Lin, Minghao Liu, Minghao Liu, Wenxiong Song, Wenxiong Song, Runting Li, Runting Li, Yu Chen, Yu Chen, Jun Yang, Jun Yang, Heze Han, Heze Han, Yitong Jia, Yitong Jia, Xiaolin Chen, Xiaolin Chen, Rong Wang, Rong Wang, Yuanli Zhao

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Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach by Mehewish Musheer Sheikh, Mamatha Balachandra, Narendra V. G., Arun G. Maiya

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Predicting Architectural Space Preferences Using EEG-Based Emotion Analysis: A CNN-LSTM Approach by Ju Eun Cho, Se Yeon Kang, Yi Yeon Hong, Han Jong Jun

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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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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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