Prediction of Dendrite Growth Velocity in Undercooled Binary Alloys Based on Transfer Learning and Molecular Dynamics Simulation by Jia Wei, Mingyu Zhang, Shuai Li, Shu Li

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Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method by Huiming Wang, Jie Lin, Shengpin Guo

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Exploring the genetic profiles linked to senescence in thyroid tumors: insights on predicting disease progression and immune responses by Baoliang Zhang, Yanping Pang

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Traffic Accident’s Severity Prediction: A Deep-Learning Approach-Based CNN Network by Ming Zheng, Tong Li, Rui Zhu, Jing Chen, Zifei Ma, Mingjing Tang, Zhongqiang Cui, Zhan Wang

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TEMPERATURE PREDICTION ON DEEP GROOVE BALL BEARING OF ROTARY CONTROL HEAD BASED ON GREY NEURAL NETWORK by WANG GuoRong, ZHANG Min, HU Gang, XIA Yan

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A deep learning short-term traffic flow prediction method considering spatial-temporal association by Yang ZHANG, Yue HU, Dongrong XIN

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Prediction and validation of nanowire proteins in Oleidesulfovibrio alaskensis G20 using machine learning and feature engineering by Dheeraj Raya, Vincent Peta, Alain Bomgni, Shiva Aryal, Tuyen Duc Do, Kalimuthu Jawaharraj, David R. Salem, Venkataramana Gadhamshetty, Saurabh Sudha Dhiman, Etienne Z. Gnimpieba

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Statistical inference for the generalized exponential distribution using ordered lower k-record ranked set sampling with random sample sizes by Haidy A. Newer

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Risk factors for mortality in patients with primary biliary cholangitis: a nomogram to predict 5-year survival by Yaxing Liu, Muyu Gao, Bin Li, Long Liu, Yao Liu, Ying Feng, Xiaojing Wang, Xianbo Wang, Guiqin Zhou

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Machine learning-based prediction of adverse pregnancy outcomes in antiphospholipid syndrome using pregnancy antibody levels by Wanqing Liu, Ju Huang, Jun Xiao, Shanling Yan

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ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction. by Yunyun Dong, Yuanrong Zhang, Yuhua Qian, Yiming Zhao, Ziting Yang, Xiufang Feng

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Clinicopathological Characteristics and Prediction of Postoperative Mortality Risk in Patients with Non-metastatic Sarcomatoid Renal Cell Carcinoma by Lian Fang MD, Zhiyu Zhang MD, Ouyang Song MD, Yufeng Hou MD, Hujuan Yang MD, Jun Ouyang PhD, Xuefeng Zhang PhD, Nan Wang PhD, Shicheng Sun PhD

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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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Predicting pressure gradient using artificial intelligence for transcatheter aortic valve replacementCentral MessagePerspective by Anoushka Dasi, BS, Beom Lee, MS, Venkateshwar Polsani, MD, FACC, FASE, Pradeep Yadav, MD, FACC, Lakshmi Prasad Dasi, PhD, FACC, FAIMBE, Vinod H. Thourani, MD, FACS, FACC

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The significance of C-reactive protein for the prediction of net-adverse clinical outcome in patients with acute pulmonary embolism by Milić Rade, Džudović Boris, Subotić Bojana, Obradović Slobodan, Soldatović Ivan, Petrović Marina

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Recurrence prediction in chronic subdural hematomas: a risk stratification score based on 118 consecutive patients by Francesco M.C. Lioi, Jon Ramm-Pettersen, Andrea Fratini, Gabriele Dentato, Giovanni Facchinetti, Niccolo Colella, Luigi Rosito, Elena Furno, Camilla Riva, Andrea G. Ruggeri, Luca D'Angelo, Antonio Santoro, Alessandro Frati

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Predicting preventative effects of cognitive control training in remitted depressed individuals: A machine learning approach by Yannick Vander Zwalmen, Ernst H.W. Koster, David Demeester, Chris Baeken, Nick Verhaeghe, Kristof Hoorelbeke

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Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions by Muhammad Mujiburohman, Marwen Elkamel, Farzad Hourfar, Ali Elkamel

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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

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