Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network by GUO Xinzhe, WANG Yeqin, WANG Chao, WU Mingjiang, YANG Yan, ZHANG Chu

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The prediction method for ground surface settlement of pipe jacking tunnels based on a spatiotemporal transfer learning network by Hairong Huang, Lian Yuan, Jian Chen, Shixia Zhang

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Prediction of clinical outcome for high-intensity focused ultrasound ablation of adenomyosis based on non-enhanced MRI radiomics by Ziyi Liu, Ziyan Liu, Xiyao Wan, Yuan Wang, Xiaohua Huang

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Intelligent classification and prediction of students’ mental health in online learning environments using boosting algorithm and LIWC features by Xiaomin Xu, Tianrong Zhang

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Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Seyed Ali Mosaddad, Artak Heboyan

“…Despite achieving a 65 percent accuracy rate, the GNN model demonstrated suboptimal predictive power for gene-drug interactions associated with oral pain. …”
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Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics by Maochun Zhang, Qing Zhang, Xueying Wang, Xiaoli Peng, Jiao Chen, Hanfeng Yang

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Preoperative CT-based radiomics nomogram to predict the micropapillary pattern in lung adenocarcinoma of size 2 cm or less by Xiaoyu Pan, Liang Fu, Jiecai Lv, Lijuan Feng, Kai Li, Siqi Chen, Xi Deng, Liling Long

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Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients by Ying Wang, Hexiang Wang, Na Li, Siyu Wu, Rongchao Shi, Kui Sun, Ximing Wang

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An integrated stacked convolutional neural network and the levy flight-based grasshopper optimization algorithm for predicting heart disease by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Majad Mansoor, Filippo Sanfilippo

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An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University Residence by Stephen Oladipo, Yanxia Sun, Oluwatobi Adeleke

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Predicting the diffusion coefficients of rejuvenators into bitumens using molecular dynamics, machine learning, and force field atom types by Eli I. Assaf, Xueyan Liu, Peng Lin, Shisong Ren, Sandra Erkens

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DMA Master Curves for Long-Term Life Prediction of Epoxy Resins and Composites Using Time Temperature Superposition by Thiago F. Silvano, Ricardo M. Di Benedetto, Marilia Sonego, Angelo Souza, Antonio C. Ancelotti Junior

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The Combination of Seven Preoperative Markers for Predicting Patients with Gastric Cancer to Be Either Stage IV or Non-Stage IV by Wei Ge, Li-ming Zheng, Gang Chen

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Construction of a Novel Clinical Stage-Related Gene Signature for Predicting Outcome and Immune Response in Hepatocellular Carcinoma by Liu Yang, Long-fei Zeng, Guo-qing Hong, Qing Luo, Xing Lai

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Chaotic time series reconstruction of the concentration of leaching solution and leaching period prediction of quasi-sandstone type ore by LIU Chao, WU Ai-xiang, YIN Sheng-hua, KE Jin-fu, CHEN Xun

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Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy by Mingyu Yang, Jianli Ma, Chengcheng Zhang, Liming Zhang, Jianyu Xu, Shilong Liu, Jian Li, Jiabin Han, Songliu Hu

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Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention by John T.Y. Soong, L.F. Tan, Rodney Y.H. Soh, W.B. He, Andie H. Djohan, H.W. Sim, T.C. Yeo, H.C. Tan, Mark Y.Y. Chan, C.H. Sia, M.L. Feng

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Charging pile fault prediction method combining whale optimization algorithm and long short-term memory network by Yansheng Huang, Atthapol Ngaopitakkul, Suntiti Yoomak

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Construction of a nomogram to predict urethral stricture after transurethral resection of the prostate: A retrospective cohort study. by Wan Mokhzani Wan Mokhter, Xiaoping Duan, Jin Yang, Mohamed Ashraf Mohamed Daud

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