Predictive nomogram model for severe coronary artery calcification in end-stage kidney disease patients by Xinfang Tang, Hanyang Qian, Shijiu Lu, Hui Huang, Jing Wang, Fan Li, Anning Bian, Xiaoxue Ye, Guang Yang, Kefan Ma, Changying Xing, Yi Xu, Ming Zeng, Ningning Wang

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Tumorspheres as In Vitro Model for Identifying Predictive Chemoresistance and Tumor Aggressiveness Biomarkers in Breast and Colorectal Cancer by Toni Martinez-Bernabe, Pere Miquel Morla-Barcelo, Lucas Melguizo-Salom, Margalida Munar-Gelabert, Alba Maroto-Blasco, Margalida Torrens-Mas, Jordi Oliver, Pilar Roca, Mercedes Nadal-Serrano, Daniel Gabriel Pons, Jorge Sastre-Serra

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Use of Saliva Analytes as a Predictive Model to Detect Diseases in the Pig: A Pilot Study by Eva Llamas-Amor, Alba Ortín-Bustillo, María José López-Martínez, Alberto Muñoz-Prieto, Edgar García Manzanilla, Julián Arense, Aida Miralles-Chorro, Pablo Fuentes, Silvia Martínez-Subiela, Antonio González-Bulnes, Elena Goyena, Andrea Martínez-Martínez, José Joaquín Cerón, Fernando Tecles

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Advanced Decision Making and Motion Planning Framework for Autonomous Navigation in Unsignalized Intersections by Gunasekaran Raja, Kathiroli Raja, Madhan Raj Kanagarathinam, Jeyadev Needhidevan, Priyadarshni Vasudevan

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Performance Evaluation of Real-Time Image-Based Heat Release Rate Prediction Model Using Deep Learning and Image Processing Methods by Joohyung Roh, Sehong Min, Minsuk Kong

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Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs by Junjian Wang, Francesco Tiezzi, Yijian Huang, Christian Maltecca, Jicai Jiang

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Deep learning for gender estimation using hand radiographs: a comparative evaluation of CNN models by Hilal Er Ulubaba, İpek Atik, Rukiye Çiftçi, Özgür Eken, Monira I. Aldhahi

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Artificial Intelligence-Based Transmission Frequency Prediction in Cable Systems Using Electromagnetic Field Data by Abbas Seif, Hamid Radmanesh, Amir Ahmarinejad, Ahmad Ali Ashrafian

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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

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Evidential Reasoning Approach for Predicting Popularity of Instagram Posts by L. Rivadeneira, I. Loor

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Analysis of the COVID-19 pandemic and prediction with numerical methods by M. M. Singh, D. L. Suthar, G. Agarwal, S. D. Purohit

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Lifetime Prediction of Single Crystal Nickel-Based Superalloys by Çağatay Kasar, Utku Kaftancioglu, Emin Bayraktar, Ozgur Aslan

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Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model by Ting Chen, Xuefeng Zhang, Qunfeng Yu, Qin Yang, Lingmin Yuan, Fei Tong

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Comparative Study of Sphere Decoding Algorithm and FCS-MPC for PMSMs in Aircraft Application by Joseph O. Akinwumi, Yuan Gao, Xin Yuan, Sergio Vazquez, Harold S. Ruiz

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Development of a nomogram to predict risk factors for orchiectomy after testicular torsion in children by Changkun Mao, Chao Yang, Haijun Zhong, Qifei Deng, Tao Zhang, Han Chu, Jian Shen, Yongsheng Cao

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Distributionally Robust Optimal Scheduling for Integrated Energy System Based on Dynamic Hydrogen Blending Strategy by Yixiao Xiao, Qianhua Xiao, Keyu Wang, Xiaohui Yang, Yan Zhang

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Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study by Yue Liu, Jingshu Gao, Hang Ge, Hang Ge, Jiaxing Feng, Yu Wang, Xiaoke Wu, Xiaoke Wu

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Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm by Sanglin Zhao, Zhetong Li, Hao Deng, Xing You, Jiaang Tong, Bingkun Yuan, Zihao Zeng

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Development and validation of a nomogram to predict bacterial blood stream infection by Yu Huan Jiang, Rui Zhao, Yun Xue Bai, Hui Ming Li, Jun Liu, Shi Xuan Wang, Xing Xie, Yang Liu, Qiang Chen

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Histological Grade, Tumor Breadth, and Hypertension Predict Early Recurrence in Pediatric Sarcoma: A LASSO-Regularized Micro-Cohort Study by Alexander Fiedler, Mehran Dadras, Marius Drysch, Sonja Verena Schmidt, Flemming Puscz, Felix Reinkemeier, Marcus Lehnhardt, Christoph Wallner

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