Research on a combining algorithm for harassing calls to identify by Yanqing WANG, Hanchen WANG

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Comparing and Predicting Hepatic Encephalopathy Complications Using Random Forest Algorithm in Active Men by Bakhtyar Tartibian, Leila Fasihi, Rasoul Eslami, Ahmad Fasihi

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Sentiment Analysis of 'Free Lunch for Children' Policy on Social Media X Using Random Forest Algorithm by Anies Anies, Muhammad Ikhsan

Subjects: “…sentiment analysis, random forest algorithm, social policy…”
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Computer-Aid System for Automated Jaundice Detection by Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, Javaan Chahl

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Impact of Climate Change on the Narrow Endemic Herb Psilopeganum sinense (Rutaceae) in China by Ruixiong Deng, Kaitong Xiao, Xin Chen, Beibei Huang, Haoran Li, Lin Wu, Hang Ning, Hui Chen

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A Study on the Effectiveness and Efficiency of Public or Private Hospitals within Pakistan by Noman Islam, Muhammad Usman Raees, Darakshan Syed

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Positron emission tomography imaging biomarker and artificial intelligence for the characterization of solitary pulmonary nodule by Ashish Kumar Jha, Ashish Kumar Jha, Umeshkumar Baburao Sherkhane, Umeshkumar Baburao Sherkhane, Nilendu C. Purandare, Nilendu C. Purandare, Leonard Wee, Andre Dekker, Venkatesh Rangarajan, Venkatesh Rangarajan

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Comparative Study on Prediction Models for Crack Opening Degree in Concrete Dam by HUANG Song, WU Jie, FANG Zhanchao, CHU Huaping, WU Yan'gang, XUE Zilong, HE Linbo

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Estimation of tree attributes in mixed tropical hill forests using Landsat-8 and Sentinel-1 data by Ariful Khan, Md. Shawkat Islam Sohel, Md. Shamim Reza Saimun, Mohammed Abu Sayed Arfin Khan, M. Salim Uddin, Melanie L. Harris, Parvez Rana

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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

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Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

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Predictors of depression among Chinese college students: a machine learning approach by Lin Luo, Junfeng Yuan, Chenghan Wu, Yanling Wang, Rui Zhu, Huilin Xu, Luqin Zhang, Zhongge Zhang

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Intelligent Damage Prediction During Vehicle Collisions Based on Simulation Datasets by Sheng Liu, Conghao Liu, Xunan An, Xin Liu, Liang Hao

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DETECTING URBAN SLUMS IN DKI JAKARTA: A KOTAKU DATA APPROACH WITH ENSEMBLE METHODS by Muhammad Muawwad MS, Rani Nooraeni, Ananda Galuh Intan Prasetya

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Simplified Novel Approach for Accurate Employee Churn Categorization using MCDM, De-Pareto Principle Approach, and Machine Learning by Faisal Bin Al Abid, Aryati Binti Bakri, Md. Golam Rabiul Alam, Jia Uddin, Shefayatuj Johara Chowdhury

Subjects: “…AHP-TOPSIS, DE-PARETO principle, Employee churn, MCDM, Random Forest algorithm…”
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Stability prediction of circular sliding failure soil slopes based on a genetic algorithm optimization of random forest algorithm by Shengming Hu, Yongfei Lu, Xuanchi Liu, Cheng Huang, Zhou Wang, Lei Huang, Weihang Zhang, Xiaoyang Li

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Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis by Yumei Ma, Jianming Jiang, Zhufeng Yang, Yongzhang Li, Haiyan Bai, Zongxiu Liu, Shuo Zhang, Zheng Zhi, Qian Yang

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Collaborative Optimization on Both Weight and Fatigue Life of Fifth Wheel Based on Hybrid Random Forest with Improved BP Algorithm by Huan Xue, Chang Guo, Xiaojian Peng, Saiqing Xu, Kaixian Li, Jianwen Li

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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

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Interpretable machine learning approaches for predicting prostate cancer by using multiple heavy metal exposures based on the data from NHANES 2003–2018 by Zu-Ming You, Yuan-Sheng Li, Fan-Shuo Meng, Rui-Xiang Zhang, Chen-Xi Xie, Zhijiang Liang, Ji-Yuan Zhou

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