The Application of Machine Learning for Creating a Typology of Universities' Financial Models by I. A. Khodachek, D. V. Minaev, A. V. Zinkovskaya, E. B. Yablokov

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Analysis of instructions virtual machine vulnerabilities in anti-virus software by Yijun WANG

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A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators by Dyah Sulistyowati Rahayu, Zaäfri Ananto Husodo, Jan Pidanic, Xue Li, Heru Suhartanto

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A FEW PRELIMINARY CONSIDERATIONS ON INFRINGEMENT OF COPYRIGHT BY ARTIFICIAL INTELLIGENCE by Paul-George BUTA

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Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn’s disease by bioinformatics analysis and machine learning by Wei Chen, Zeyan Xu, Haitao Sun, Wen Feng, Zhenhua Huang

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A Novel Point-of-Care Prediction Model for Steatotic Liver Disease: Expected Role of Mass Screening in the Global Obesity Crisis by Jeayeon Park, Goh Eun Chung, Yoosoo Chang, So Eun Kim, Won Sohn, Seungho Ryu, Yunmi Ko, Youngsu Park, Moon Haeng Hur, Yun Bin Lee, Eun Ju Cho, Jeong-Hoon Lee, Su Jong Yu, Jung-Hwan Yoon, Yoon Jun Kim

Subjects: “…machine learning; fatty liver; obesity; bioelectrical impedance…”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

Subjects: “…Machine Learning…”
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Chargeur dans une papetière : étude de la variabilité du travail by Marie-Christine Richard

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Emotion Recognition Using PPG Signals of Smartwatch on Purpose of Threat Detection by Gyuwon Hwang, Sohee Yoo, Jaehyun Yoo

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Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India by Rajani Kumari, Sandeep Kumar, Ramesh Chandra Poonia, Vijander Singh, Linesh Raja, Vaibhav Bhatnagar, Pankaj Agarwal

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Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska

Subjects: “…machine learning…”
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Combining Machine Learning Models to Improve Estimated Time of Arrival Predictions by Ramon Dalmau, Aymeric Trzmiel, Stephen Kirby

Subjects: “…machine learning…”
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Advancing GAN Deepfake Detection: Mixed Datasets and Comprehensive Artifact Analysis by Tamer Say, Mustafa Alkan, Aynur Kocak

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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

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Exploring the Landscape of Programming Language Identification With Machine Learning Approaches by Amandeep Verma, Rahul Saha, Gulshan Kumar, Alessandro Brighente, Mauro Conti, Tai-Hoon Kim

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Factor Investment or Feature Selection Analysis? by Jifang Mai, Shaohua Zhang, Haiqing Zhao, Lijun Pan

Subjects: “…machine learning…”
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Singularity Calculation and Kinematics Modeling of High Speed Six-bar Parallel Measuring Machine by Zhao Lei, Zhao Xinhua, Wang Shoujun, Ge Weimin, Wang Xiaofei

Subjects: “…Parallel measuring machine…”
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Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

Subjects: “…machine learning…”
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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA by Zhongyuan Xiang, Jingyi Hu, Shengfang Bu, Jin Ding, Xi Chen, Ziyang Li

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Modeling of the Mapping Relationship Between Machine Tool Errors and Free-form Milling Machining Errors by Junhua Yao, Rongjing Hong

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