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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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

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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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EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

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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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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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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

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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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Application of BITCN-BIGRU Neural Network Based on ICPO Optimization in Pit Deformation Prediction by Yong Liu, Cheng Liu, Xianguo Tuo, Xiang He

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Artificial Intelligence-Based Prediction of Bloodstream Infections Using Standard Hematological and Biochemical Markers by Ferhat DEMİRCİ, Murat AKŞİT, Aylin DEMİRCİ

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Machine Learning for Precision Agriculture: Predicting Persimmon Peak Harvest Dates and Yield Using Meteorological Data by Atsushi Okayama, Atsushi Yamamoto, Yutaka Matsuno, Masaomi Kimura

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Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients by Yajing Gu, Shu Su, Xianping Wang, Juanjuan Mao, Xuan Ni, Ai Li, Yueli Liang, Xing Zeng

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A Machine Learning Approach to Predict Site Selection from the Perspective of Vitality Improvement by Bin Zhao, Hao Zheng, Xuesong Cheng

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Traffic accident risk prediction based on deep learning and spatiotemporal features of vehicle trajectories. by Hao Li, Linbing Chen

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