Fatigue Behaviour of Metallic Materials Under Hydrogen Environment: Historical Perspectives, Recent Developments, and Future Prospects by Shiyuan Yang, Debiao Meng, Peng Nie, Abílio M. P. De Jesus, Yan Sun

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Assimilation of Doppler Radar Data and Its Impact on Prediction of a Heavy Meiyu Frontal Rainfall Event by Hongli Li, Xiangde Xu, Yang Hu, Yanjiao Xiao, Zhibin Wang

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On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning by Nansha Gao, Mou Wang, Xiao Liang, Guang Pan

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Strength prediction and failure mode classification for SRC shear beams using GA-BP ANN method by Gangfeng Yao, Bingyi Li

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Prediction of the Coefficient of Pressure Fluctuations during the Hydraulic Jump Using ELM, GMDH, and M5MT by Tzu-Chia Chen, Biju Theruvil Sayed, Maria Jade Catalan Opulencia, Raed H. C. Alfilh, Maki Mahdi Abdulhasan, Sayed Hashmat Sadat

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Predicting filtration coefficient and formation damage coefficient for particle flow in porous media using machine learning by Xuejia Du, George K. Wong

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Prediction of rock fracture pressure in hydraulic fracturing with interpretable machine learning and mechanical specific energy theory by Xiaoying Zhuang, Yuhang Liu, Yuwen Hu, Hongwei Guo, Binh Huy Nguyen

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Enhancing diabetes risk prediction: A comparative evaluation of bagging, boosting, and ensemble classifiers with SMOTE oversampling by Rabia Asif, Darshana Upadhyay, Marzia Zaman, Srini Sampalli

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Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms by Hasan Önder, Cem Tirink, Taras Yakubets, Andriy Getya, Mykhalio Matvieiev, Ruslan Kononenko, Uğur Şen, Çağri Özgür Özkan, Tolga Tolun, Fahrettin Kaya

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Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease by Farideh Momeni, Daryoush Shahbazi-Gahrouei, Tahereh Mahmoudi, Alireza Mehdizadeh

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Eliminating Effect of Moisture Content in Prediction of Lower Heating Value and Ash Content in Sugarcane Leaves Biomass by Kanvisit Maraphum, Kantisa Phoomwarin, Nirattisak Khongthon, Jetsada Posom

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Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression by Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy

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Machine learning-based prediction of five-year all-cause mortality in patients with mixed gastric cancer by Cong Wang, Hongwei Li, Hongye Yang, Yingwei Xue

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Performance of predictive algorithms in estimating the risk of being a zero-dose child in India, Mali and Nigeria by Sebastian Bauhoff, John Tucker, Arpita Biswas

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Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction by Yingming Yang, Zhihai Wang, Xiaoqin Liu, Tao Liu, Zhuopeng Luo

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Artificial Neural Network-Based Prediction of Total Eccentricities in Existing Buildings Using Ambient Vibration Records by Farah Kahlouche, Nouredine Bourahla, Ismail Derbal, Ahmed Mebarki

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Multimodal deep learning for predicting PD-L1 biomarker and clinical immunotherapy outcomes of esophageal cancer by Hui Liu, Yinpu Bai, Zhidong Wang, Shi Yin, Cheng Gong, Bin Wang

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Study on Strength Prediction and Material Scheme Optimization for Modified Red Mud Based on Artificial Neural Networks by Qiaoling Ji, Xiuru Jia, Yingjian Wang, Yu Cheng

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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence by Tejas Kadengodlu Bhat, Krishnaraj Chadaga, Niranjana Sampathila, Swathi KS, Rajagopala Chadaga, Shashikiran Umakanth, Srikanth Prabhu

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Predicting acupuncture efficacy for neck pain based on functional connectivity features: a machine learning study by Zhen Gao, Mengjie Cui, Cheng Xu, Haijun Wang, Yanlin Zhang, Laixi Ji

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