A Hybrid-Surrogate-Calibration-Assisted Multi-Fidelity Modeling Approach and Its Application in Strength Prediction for Underwater Gliders by Chengshan Li, Yufan Cao, Xiaoyi An, Da Lyu, Junxiao Liu

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High-Frequency Estimation and Prediction of Carbon Emissions in Chinese Municipalities: A Case Study of 14 Municipalities in Guangxi Province by Chunli Zhou, Haoyang Ji, Bin Liu, Huizhen Tang, Huaying Zhang, Junyi Shi

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Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines by Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen

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Robust Photovoltaic Power Forecasting Model Under Complex Meteorological Conditions by Yuxiang Guo, Qiang Han, Tan Li, Huichu Fu, Meng Liang, Siwei Zhang

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The Method of Predicting the Ｒise of Temperature by Combining Fuzzy System and Ｒecursive Least Square by WANG Gang, ZHANG Bo, WANG Guan, YE San-pai

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A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease by Bingxia Chen, Huiwen Li, Hongli Wang, Lu Ren, Liya Xiong, Yang Cheng, Rui Li, Meiwan Cao, Zihuan Zeng, Sitang Gong, Peiyu Chen, Lanlan Geng

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Predicting Wheat Potential Yield in China Based on Eco-Evolutionary Optimality Principles by Shen Tan, Shengchao Qiao, Han Wang, Sheng Chang

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Risk factor analysis and prediction of multi-organ metastasis in hepatic alveolar echinococcosis by Pan Xia, Xiang-Qian Wang, Chao-Liang Shang-Guan, Zheng Wang, Wei Xu, Jin-Peng Wang, Zhen Liu, Hai-Hong Zhu

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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

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Distinct and yet not Separate: Revisiting the Welfare Models in the EU New Member States by Helena Tendera-Właszczuk, Michał Szymański

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Risk prediction of mechanical complications in acute myocardial infarction patients with prior malignancy by Changying Zhao, Chuqing Yang, Yang Yan

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Prediction of total phosphorus in wastewater treatment plant effluent based on deep learning by AN Yuning, ZHU Sifu, LIU Jing, DU Liwei, LIU Changqing

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Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning by Mürsel Kahveci, Levent Uğur

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Research on Seismic Signal Denoising Model Based on DnCNN Network by Li Duan, Jianxian Cai, Li Wang, Yan Shi

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Prediction of insulin resistance using multiple adaptive regression spline in Chinese women by Shih-Peng Mao, Chen-Yu Wang, Chi-Hao Liu, Chung-Bao Hsieh, Dee Pei, Ta-Wei Chu, Yao-Jen Liang

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Prediction of Mortality in ICU Patients with SARS-CoV-2-Associated Pneumonia by P. N. Savilov, S. S. Kurdyumova, S. V. Shutova, S. V. Buchneva, A. V. Baranov

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EMI Prediction on Ripple Effect of Voltage-Controlled Ramp Waveform via ARIMA-MLR Hybrid Model by Mohammad Yanuar Hariyawan, Mochamad Nizar Palefi Ma'ady, Helmy Widyantara, Vania Martha Aurellia Lubis

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Heuristic Binary Search for Modulated Predictive Control by Rafael FIgueiredo, Igor Oliani, Angelo Lunardi, Alfeu J. Sguarezi Filho

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Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

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AdaptedNorm: An Adaptive Modeling Strategy for Graph Convolutional Network-Based Deep Learning Tasks by Chuan Dai, Yajuan Wei, Hao Wang, Ying Liu, Zhijie Xu

“…This study proposes AdaptedNorm, a principled framework that establishes connections between normalization schemes and GCN task objectives, while introducing three key contributions: 1) A novel random walk re-normalized transformation (RWRT) technique for graph representation normalization; 2) A task-aligned modeling paradigm demonstrating that symmetric re-normalized transformation (SRT) enhances node classification accuracy, while RWRT achieves superior performance in link prediction; 3) Integration of normalization schemes with GNN sparsification strategies, enabling effective model compression without sacrificing performance. …”
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