An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

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Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm by Kuiqian Ma, Chunxin Wu, Yige Huang, Pengfei Mu, Peng Shi

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Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis by Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

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Neural Network Approach for Fatigue Crack Prediction in Asphalt Pavements Using Falling Weight Deflectometer Data by Bishal Karki, Sayla Prova, Mayzan Isied, Mena Souliman

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Predicted increased distribution of non-native red drum in China’s coastal waters under climate change by Jintao Li, Linjie Li, Yankuo Xing, Linlong Wang, Yugui Zhu, Bin Kang

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Prediction of risk for secondary lower respiratory tract fungal infection during the acute exacerbation phase of COPD by Shasha Han, Xiangyi Meng

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Debris Flow Susceptibility Prediction Using Transfer Learning: A Case Study in Western Sichuan, China by Tiezhu Li, Qidi Huang, Qigang Chen

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An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer by Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali

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Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction by Mohammed Majeed Hameed, Mohamed Khalid Alomar, Siti Fatin Mohd Razali, Ali Salem

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Enhancing Compressive Strength Prediction in Recycled Aggregate Concrete through Robust Hybrid Machine Learning Approaches by Samuel Keown, Dylan O’Dwyer

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High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs by Pranolo Andri, Saifullah Shoffan, Bella Utama Agung, Wibawa Aji Prasetya, Bastian Muhammad, Hardiyanti P Cicin

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Methodological approaches to prevention of radiation-induced skin reactions in neutron-photon therapy for malignant neoplasms by E. L. Choynzonov, V. A. Lisin, О. V. Gribova, V. V. Velikaya, Zh. А. Startseva

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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…The results underscore the model’s robustness and adaptability in handling various complex molecular prediction tasks. …”
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Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts by Kaier Gu, Saisai Lu

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miRNA centered regulatory networks identify FN1 and miR27b as metastatic drivers in HPV negative head and neck cancer by Su Han Cho, MinJeong Kim, Jiyeon Kim, Seok June Hong, Yuseong Lee, Young Chan Lee, Kwoneel Kim

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Machine Learning–Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study by Pinjie Huang, Jirong Yang, Dizhou Zhao, Taojia Ran, Yuheng Luo, Dong Yang, Xueqin Zheng, Shaoli Zhou, Chaojin Chen

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TSTA-GCN: trend spatio-temporal traffic flow prediction using adaptive graph convolution network by Xinlu Zong, Jiawei Guo, Fucai Liu, Fan Yu

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Lifetime prediction of epoxy coating using convolutional neural networks and post processing image recognition methods by Fandi Meng, Yufan Chen, Jianning Chi, Huan Wang, Fuhui Wang, Li Liu

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Circulating metabolic biomarkers predict incident sepsis: a large-scale population study in the UK Biobank by Hao Bai, Yihui Li, Miaomiao Fan, Mingmin Pang, Yanan Li, Shaohua Zhao, Tingyu Meng, Hao Chen, Ming Lu, Hao Wang

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