Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning by Muhammad Asim Saleem, Ashir Javeed, Watit Benjapolakul, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung

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Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

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Digitally Enabled AI-Interpreted Salivary Ferning–Based Ovulation Prediction: Feasibility Study by Elizabeth Peebles, William Finlay, Thao-Mi Nguyen, Samuel Barrett, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Hemanth Kandula, Carrie Sarcione, Kaitlyn E James, Hadi Shafiee, Shruthi Mahalingaiah

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Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma by Taotao Yang, Xianqi Wang, Yuan Jin, Xiaohong Yao, Zhiyuan Sun, Pinzhen Chen, Suyi Zhou, Wentao Zhu, Wei Chen

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Advancements in thermochemical predictions: a multi-output thermodynamics-informed neural network approach by Raheel Hammad, Sownyak Mondal

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Machine learning based disruption prediction using long short-term memory in KSTAR by Jeongwon Lee, Jayhyun Kim, Jinsu Kim, Sang-hee Hahn, Hyunsun Han, Giwook Shin, Yong-Su Na, Yong Un Nam

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DISCRITE MATHEMATICS TRAINING OF PEDAGOGICAL BACHELOR AND MAGISTRACY STUDENTS – THE FUTURE TEACHERS OF MATHEMATICS AND COMPUTER SCIENCE by V. I. Igoshin

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Intravoxel incoherent motion-based habitat imaging for the prediction of immunohistochemistry in patients with breast cancer by Ailing Wang, Muzhen He, Chengxiu Zhang, Yunyan Zheng, Yang Song, Chenglong Wang, Mingping Ma, Guang Yang

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Approaches to predicting life expectancy in elderly coronary artery disease patients with comorbid conditions by E. O. Asanov, G. P. Voinarovska, I. A. Dyba

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Preserving the Integrity of Organizations’ Quality Management System during Unification and Integration: Functional Approach by Marina V. Sokolovskaya, Elena V. Zamiralova

Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations. by Frances Hutchings, Cheol E Han, Simon S Keller, Bernd Weber, Peter N Taylor, Marcus Kaiser

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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

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A sentiment-driven three-stage approach for multi-scale carbon price prediction by Yongliang Liu, Chunling Tang, Aiying Zhou, Kai Yang, Huaiyu Yuan

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Imaging‐Based Prediction of Ki‐67 Expression in Hepatocellular Carcinoma: A Retrospective Study by Chiyu Cai, Liancai Wang, Lianyuan Tao, Hengli Zhu, Yongnian Ren, Deyu Li, Dongxiao Li

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Prediction of Time-evolving Radial Magnetic Fields on the Solar Surface Using Deep Learning by Hyun-Jin Jeong, Stefaan Poedts, Haopeng Wang, Ekatarina Dineva, Panagiotis Gonidakis, Francesco Carella, George Miloshevich, Luis Linan, Harim Lee

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Machine learning-driven prediction of hospital admissions using gradient boosting and GPT-2 by Xingyu Zhang, Hairong Wang, Guan Yu, Wenbin Zhang

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Prediction and Elimination of Physiological Tremor During Control of Teleoperated Robot Based on Deep Learning by Juntao Chen, Zhiqing Zhang, Wei Guan, Xinxin Cao, Ke Liang

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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…Conclusion MultiChem highlights the importance of integrating both local and global structural information in predicting molecular properties, while also assessing the stability of the models across multiple datasets using various random seed values. …”
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Comparing raw score difference, multilevel modeling, and structural equation modeling methods for estimating discrepancy in dyads by Amber McEnturff, Qi Chen, Robin K. Henson, Ryan Glaman, Wen Luo

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Causal inference-based graph neural network method for predicting asphalt pavement performance by CHEN Kai;WANG Xiaohe;SHI Xinli;CAO Jinde

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