Estimation of Anthocyanins in Apple Leaves Based on Ground Hyperspectral Imaging and Machine Learning Models by Yu Zhang, Mi Zou, Yanjun Li, Qingrui Chang, Xing Chen, Zhiyong Dai, Weihao Yuan

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An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction by Agung Fatwanto, Muh Nur Aslam, Rebbecah Ndugi, Muhammad Syafrudin

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The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

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Developing a decision support tool to predict delayed discharge from hospitals using machine learning by Mahsa Pahlevani, Enayat Rajabi, Majid Taghavi, Peter VanBerkel

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Optimization strategy of virtual machine online migration with awareness of application characteristics and network bandwidth migration by Xiang LI, Ning-jiang CHEN, Shang-lin YANG, Hua LI

Subjects: “…virtual machine migration…”
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Forecasting yield and market classes of Vidalia sweet onions: A UAV-based multispectral and texture data-driven approach by Marcelo Rodrigues Barbosa Júnior, Lucas de Azevedo Sales, Regimar Garcia dos Santos, Rônega Boa Sorte Vargas, Chris Tyson, Luan Pereira de Oliveira

Subjects: “…Machine learning…”
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Enhancing Generalizability of a Machine Learning Model for Infrared Thermographic Defect Detection by Using 3D Numerical Modeling by Vladimir Vavilov, Arsenii Chulkov, Alexey Moskovchenko

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Predicting the Hall-Petch slope of magnesium alloys by machine learning by Bo Guan, Chao Chen, Yunchang Xin, Jing Xu, Bo Feng, Xiaoxu Huang, Qing Liu

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Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer by Xiaohong Liu, Xing Wang, Jie Ren, Yuan Fang, Minzhi Gu, Feihan Zhou, Ruiling Xiao, Xiyuan Luo, Jialu Bai, Decheng Jiang, Yuemeng Tang, Bo Ren, Lei You, Yupei Zhao

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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

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Heat Stress in Dairy Cows: Impacts, Identification, and Mitigation Strategies—A Review by Charles Paranhos Oliveira, Fernanda Campos de Sousa, Alex Lopes da Silva, Érica Beatriz Schultz, Roger Iván Valderrama Londoño, Pedro Antônio Reinoso de Souza

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Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters by Tianning Yao, Liang Sun, Lin Geng, Yao Xu, Ziqi Xu, Kuntao Hu, Xing Chen, Pan Liao, Jin Wang

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On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

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Estimation the pH of CO2-saturated NaCl solutions using gene expression programming: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Parirokh Ebrahimi, Moein Kafi, Hamed Nikravesh, Yousef Kazemzadeh

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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

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NC MACHINE FAULT DIGNOSIS BADED ON LCD MULTI DISPERSION ENTROPY by LI MeiHong

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MLAR:large-scale network alias resolution for IP geolocation by Fuxiang YUAN, Fenlin LIU, Chong LIU, Yan LIU, Xiangyang LUO

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Graphene metamaterial solar absorber using Al-TiN-Fe for efficient solar thermal energy conversion and optimization using machine learning by Khaled Aliqab, Bo Bo Han, Om Prakash Kumar, Meshari Alsharari, Ammar Armghan, Shobhit K. Patel

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Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model by A. G. Smirnov, M. Berrendorf, Y. Y. Shprits, E. A. Kronberg, H. J. Allison, N. A. Aseev, I. S. Zhelavskaya, S. K. Morley, G. D. Reeves, M. R. Carver, F. Effenberger

Subjects: “…machine learning…”
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Research on telecom industry customer churn prediction based on explainable machine learning models by WANG Shengjie, ZHANG Qinghong

Subjects: “…machine learning…”
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