Battery Health Prediction with Singular Spectrum Analysis and Grey Wolf Optimized Long Short-Term Memory Networks by Chengti Huang, Na Li, Jianqing Zhu, Shengming Shi

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Convolutional neural networks to predict dispersion surfaces-based properties of acoustic metamaterials with arbitrary-shaped unit cells by Amirhossein Farajollahi, Mir Masoud Seyyed Fakhrabadi

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Intelligent corrosion analysis and life prediction of ductile iron pipe systems using machine learning and electrochemical sensors by Bingqin Wang, Long Zhao, Yongfeng Chen, Lingsheng Zhu, Chao Liu, Xuequn Cheng, Xiaogang Li

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Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem by Chongchong Qi, Nana Zhou, Tao Hu, Mengting Wu, Qiusong Chen, Han Wang, Kejing Zhang, Zhang Lin

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Prediction of Anthocyanin Content in Purple-Leaf Lettuce Based on Spectral Features and Optimized Extreme Learning Machine Algorithm by Chunhui Liu, Haiye Yu, Yucheng Liu, Lei Zhang, Dawei Li, Junhe Zhang, Xiaokai Li, Yuanyuan Sui

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Leveraging diverse liquid–liquid phase separation patterns to predict the prognosis and immunotherapy of pediatric acute myeloid leukemia by Min Kong, Yezhen Yang, Zhixiang Wu, Ying Li, Zhijuan Kang, Qin Zhao, Huan Chang, Zuocheng Yang

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Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum by Ruizhou Guo, Ben Liu, Yunqi Wu, Yilu Zhang, Xiyang Wang, Dingyu Jiang, Zheng Liu

“…A SMOTE-enhanced, isotonic-calibrated SVM provides accurate and reliable CSFL risk estimation in TOLF patients and is freely available as an online tool ( https://github.com/DebtVC2022/CSFL_predict ). The model supports preoperative risk stratification, patient counselling, and peri-operative management, yet requires prospective, multicentre validation to establish broad clinical utility.…”
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The Impact of Assimilating Himawari-8 Radiance Data on the Prediction of a Severe Storm over Sichuan-Chongqing Region by Hao LIANG, Dongmei XU, Aiqing SHU, Xuewei ZHANG, Lixin SONG

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Intelligent Prediction of the Horizontal Deformation During the Excavation Process Based on Particle Swarm Optimisation and Support Vector Machine by Yu Zhang, Chen Zhang, Zhiduo Zhu, Liu Yang, Hao Tang

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Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning by Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu

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Relevance-Based Reconstruction Using an Empirical Mode Decomposition Informer for Lithium-Ion Battery Surface-Temperature Prediction by Chao Li, Yigang Kong, Changjiang Wang, Xueliang Wang, Min Wang, Yulong Wang

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Nomogram establishment for gastrointestinal bleeding prediction in ICU patients with traumatic brain injury based on the MIMIC-IV database by Ziming Huang, Hengfa Ge, Ying Sun

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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

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FEPP: Advancing Software Risk Prediction in Requirements Engineering Through Innovative Rule Extraction and Multi-Class Integration by Muhammad Binsawad, Bilal Khan

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Predicting placenta accreta spectrum and high postpartum hemorrhage risk using radiomics from T2-weighted MRI by Jinli Zou, Wei Wei, Yingzhen Xiao, Xinlian Wang, Keyang Wang, Lizhi Xie, Yuting Liang

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Predicting hypoglycemia risk after gastrointestinal surgery in type 2 diabetes mellitus: a retrospective cohort study by Huilan Yao, Shijin Yuan, Hongying Pan, Sisi Hong, Chen Huang, Linfang Zhao, Hongdi Yuan, Lei Mei, Yinghong Zheng, Xiaolong Liu, Weina Lu

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SaeGraphDTI: drug–target interaction prediction based on sequence attribute extraction and graph neural network by Qiaosheng Zhang, Zhenyu Sun, Zhaoman Zhong, Huihui Yang, Yalong Wei, Junjie Xu

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Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. by Sathish Kaveripakam, Ravikumar Chinthaginjala

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Stress–Strain Prediction for Steam-Cured Steel Slag Fine Aggregate Concrete Based on Machine Learning Algorithms by Chuanshang Wang, Di Hu, Qiang Jin

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A Metaheuristic-Trained Wavelet Neural Network for Predicting of Soil Liquefaction Based on the Standard Penetration Test Results by Ali Reza Ghanizadeh, Ahmad Aziminejad

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