A Measure–Correlate–Predict Approach for Transferring Wind Speeds from MERRA2 Reanalysis to Wind Turbine Hub Heights by José A. Carta, Diana Moreno, Pedro Cabrera

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Hyperspectral Method Integrated with Machine Learning to Predict the Acidity and Soluble Solid Content Values of Kiwi Fruit During the Storage Period by Mansourialam Amir, Rasekh Mansour, Ardabili Sina, Dadkhah Majid, Mosavi Amir

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Study on heart rate recovery index to predict maximum oxygen uptake in healthy adults aged 30 to 60 years old by Guoqing Miao, Guoqing Miao, Qi Yan, Houyuan Zhu, Fantai Li

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Improving predictive accuracy in multiple myeloma using a plasma cell profile derived from single-cell RNA sequencing by Lanting Liu, Hao Sun, Fangshuo Feng, Xiyue Sun, Jingyuan Ma, Rui Lv, Tengteng Yu, Linhai Ye, Xiuchun Li, Zhen Yu, Xiaoyu Zhang, Huaqing Jing, Yao Yao, Fengxia Ma, Lugui Qiu, Mu Hao

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Burden of neurological diseases in Asia, from 1990 to 2021 and its predicted level to 2045: a Global Burden of Disease study by Rujing Yang, Xinyu Liu, Zhexuan Zhao, Yan Zhao, Xiaoqing Jin

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Assessment of landslide susceptibility in southeast Xizang Region based on multiple models by Yeqi ZANG, Yonggang GUO, Libin SU, Guowen WANG, Shengjie WU, Deshun QIN

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Attention-Driven AI Model Generalization for Workload Forecasting in the Compute Continuum by Berend J. D. Gort, Godfrey M. Kibalya, Angelos Antonopoulos

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Artificial Neural Networks with various Transfer Functions for Modeling Rainfall Patterns in Sokoto, Nigeria by C. S. Ofordu, A. J. Adeyi, E. O. Okoro

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Predictive Factors for COVID-19 Severity in Patients with Axial Spondyloarthritis: Real-World Data from the Romanian Registry of Rheumatic Diseases by Andreea-Iulia Vlădulescu-Trandafir, Violeta-Claudia Bojincă, Cristina Popescu, Constantin Munteanu, Andra-Rodica Bălănescu, Aurelian Anghelescu, Justin Aurelian, Roxana Bistriceanu, Sebastian Giuvara, Elena Grădinaru, Emanuela-Elena Mihai, Daniel Nițu, Mihaela-Ruxandra Vintilă, Gelu Onose

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A simplified frailty index and nomogram to predict the postoperative complications and survival in older patients with upper urinary tract urothelial carcinoma by Jianyong Liu, Jianyong Liu, Haoran Wang, Haoran Wang, Pengjie Wu, Pengjie Wu, Jiawen Wang, Jiawen Wang, Jianye Wang, Jianye Wang, Huimin Hou, Huimin Hou, Jianlong Wang, Jianlong Wang, Yaoguang Zhang, Yaoguang Zhang

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A Hybrid Method Combining Variational Mode Decomposition and Deep Neural Networks for Predicting PM2.5 Concentration in China by Senlin Li, Bo Tang, Xiaowu Deng

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Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity by Adem Üntez, Mümtaz İpek

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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

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Predicting the Mental Health of Undergraduate University Students in Northeast India with Academic Psychological Capital: A Cross-sectional and Descriptive Study by Fayaz Ahmad Paul, Indrajeet Banerjee, Arif Ali, Nurnahar Ahmed

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Prediction of esophagogastric anastomotic leakage by nomogram combined with preoperative nutritional status and clinical factors: a retrospective study of 775 patients by Jiang-shan Huang, Li-tao Yang, Jia-fu Zhu, Qi-hong Zhong, Fei-long Guo, Zhen-yang Zhang, Jiang-bo Lin

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Prediction and Application of Spatiotemporal Distribution of Large Passenger Flow in Urban Rail Transit During Crowd Dispersal of Large Scale Events by ZHOU Feng, WANG Wenyu, ZHAO Zhou, WEN Xuguang

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Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition by Ahmed Elbeltagi, Okan Mert Katipoğlu, Veysi Kartal, Ali Danandeh Mehr, Sabri Berhail, Elsayed Ahmed Elsadek

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A data-driven impact-based analysis stemming from first responders reports to predict wind damage to urban trees by Irene Garcia-Marti, Jouke H. S. de Baar, Jan Willem Noteboom, Rob Sluijter, Gerard van der Schrier

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Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge. by Jennifer A Bishop, Hamza A Javed, Rasheed El-Bouri, Tingting Zhu, Thomas Taylor, Tim Peto, Peter Watkinson, David W Eyre, David A Clifton

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Multi-Factor Carbon Emissions Prediction in Coal-Fired Power Plants: A Machine Learning Approach for Carbon Footprint Management by Xiaopan Liu, Haonan Yu, Hanzi Liu, Zhiqiang Sun

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