Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

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A Post-Harvest Prediction Mass Loss Model for Tomato Fruit Using A Numerical Methodology Centered on Approximation Error Minimization by Francisco Javier Bucio, Cesar Isaza, Jose Amilcar Rizzo Sierra, Jonny Zavala de Paz, Ely Karina Anaya Rivera, Enrique Gonzalez Gutierrez

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Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study by Xinglin Yi, Yuhan Zhang, Juan Cai, Yu Hu, Kai Wen, Pan Xie, Na Yin, Xiangdong Zhou, Hu Luo

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Construction of an Excellent 7 mRNAsi-Related Gene Model Based on Cancer Stem Cells for Predicting Survival Outcome of Cervical Cancer by Yang Liu, Lin Yang, Hao Liang, Jianhua Zeng, Yuanyuan Hua, Huan Wu

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Surface quality prediction and validation of Electro-Fenton chemical mechanical polishing for single crystal SiC based on neural network models by Jiacheng Geng, Jiayun Deng, Zilei Bai, Xiaoning Wen, Jiabin Lu, Qiusheng Yan, Xiaojing Yang

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Finite element modeling to predict procedural success of thoracic endovascular aortic repair in type A aortic dissectionCentral MessagePerspective by Xun Yuan, MBBS, MMED, Xiaoxin Kan, BSc, MSc, Xiao Yun Xu, PhD, Christoph A. Nienaber, MD, PhD

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Hybrid ML-based predictive modeling and GUI development of calcium aluminate cement hydration and strength optimization for advanced and durable construction applications by Muwaffaq Alqurashi

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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

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Near infrared reflectance spectroscopy-driven chemometric modeling for predicting key quality traits in lablab bean (Lablab purpureus L.) Germplasm by Simardeep Kaur, Naseeb Singh, Ernieca L. Nongbri, Mithra T, Veerendra Kumar Verma, Amit Kumar, Tanay Joshi, Jai Chand Rana, Rakesh Bhardwaj, Amritbir Riar

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Family History of Hypertension Predicts Thyroid Cancer Risk in Women: A Population‐Based Cross‐Sectional Study With Integrative Machine Learning and Genomic Analyses by Zijin Wang, Yanhui Lin, Fanke Meng, Yuxin Sun, Ziran Zhang, Tong Wu, Min Fu, Fanye Wu, Zhengran Li, Zejun Chen

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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

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Robust prognostic biomarkers and a risk prediction model specific to EGFR-mutated lung adenocarcinoma patients via multicohort meta-analysis by Haangik Park, Yejin Kim, Hwiin Jo, Myeong-Ha Hwang, Hyojin Son, Sechan Lee, Gwan-Su Yi

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Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors by Elham Raiesi Nafchi, Pedram Fadavi, Sepideh Amiri, Susan Cheraghi, Maryam Garousi, Mansoureh Nabavi, Iman Daneshi, Marzieh Gomar, Malihe Molaie, Ali Nouraeinejad

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Predicting the impact of graphene oxide and its shapes on the thermal efficiency of Polyalphaolefin-40 using a mathematical model for wind turbine gearboxes by Aamina Ahsan, Amir Zanj, Ahsan Zafar, Najam Iqbal, Adeena Fatima, Wajid Khan, Muhammad Zain Yousaf, Baseem Khan, Josep M. Guerrero

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Can One Predict Coronal Mass Ejection Arrival Times With Thirty‐Minute Accuracy? by Gábor Tóth, Bart van derHolst, Ward Manchester IV

“…Schmidt and Cairns (2019, https://doi.org/10.48550/arXiv.1905.08961) have recently claimed that they can predict Coronal Mass Ejection (CME) arrival times with an accuracy of 0.9 ± 1.9 hr for four separate events. …”
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Evaluation of drug release from topical dosage forms and permeability prediction through the skin barrier (review) by N. B. Melnikova, I. A. Sheferov, A. A. Emasheva, A. A. Sheferova, D. A. Panteleev, A. I. Slivkin

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Development and Validation of a Machine Learning Prediction Model for Textbook Outcome in Liver Surgery: Results From a Multicenter, International Cohort by Jane Wang, MD, Amir Ashraf Ganjouei, MD, MPH, Taizo Hibi, MD, PhD, Nuria Lluis, MD, PhD, Camilla Gomes, MD, Fernanda Romero-Hernandez, MD, Han Yin, BA, Lucia Calthorpe, MD, Yukiyasu Okamura, MD, PhD, Yuta Abe, MD, PhD, Shogo Tanaka, MD, PhD, Minoru Tanabe, MD, PhD, Zeniche Morise, MD, PhD, Horacio Asbun, MD, PhD, David Geller, MD, Mohammed Abu Hilal, MD, PhD, Mohamed Adam, MD, Adnan Alseidi, MD, EdM, International Hepatectomy Study Group, Alison Baskin, Annie Wong-On-Wing, Annie Yang, Devesh Sharma, Taisuke Imamura, Masanori Nakamura, Yuya Miura, Koki Hayashi, Masatsugu Ishii, Keita Shimata, Kazuya Hirukawa, Hiroki Ueda, June S. Peng, Lucas Thornblade, Kenzo Hirose, Kimberly Kirkwood, Eric Nakakura, Carlos Corvera, Ajay Maker

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Integrating proximal geophysical sensing and machine learning for digital soil mapping: Spatial prediction and model evaluation using a small dataset by Danilo César de Mello, Gustavo Vieira Veloso, Murilo Ferre de Mello, Marcos Guedes de Lana, Isabelle de Angeli Oliveira, Fellipe Alcantara de Oliveira Mello, Rafael Gomes Siqueira, Lucas Carvalho Gomes, Elpídio Inácio Fernandes-Filho, Carlos Ernesto Gonçalves Reynaud Schaefer, Márcio Rocha Francelino, Emilson Pereira Leite, Tiago Osório Ferreira, José Alexandre Melo Demattê

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Construction and evaluation of an anxiety risk prediction model for the elderly (老年人焦虑风险预测模型的构建与评价) by ZHANG Jie (张洁), ZHU Xuehua (祝雪花)

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Predicting the Unconfined Compressive Strength of Rice Husk Ash – Treated Fine-grained Soils by Rizgar A. Blayi, Jamal I. Kakrasul, Samir M. Hamad

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