A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa [0.03%]
一种集成机器学习模型预测东非五价三联疫苗接种遗漏现象
Meron Asmamaw Alemayehu,Shimels Derso Kebede,Agmasie Damtew Walle et al.
Meron Asmamaw Alemayehu et al.
Introduction: Vaccination is critical for reducing childhood mortality, yet completion rates for the third dose of the pentavalent vaccine (Penta 3) in East Africa remain inadequate. This study aims to predict Penta 3 vac...
Big data and personal information privacy in developing countries: insights from Kenya [0.03%]
大数据与发展中的人脸识别隐私问题——来自肯尼亚的启示
Johnson Masinde,Franklin Mugambi,Daniel Wambiri Muthee
Johnson Masinde
The present study examined the correlation between big data and personal information privacy in Kenya, a developing nation which has experienced a significant rise in utilization of data in the recent past. The study sought to assess the ef...
Alfred Krzywicki,Michael Bain,Wayne Wobcke
Alfred Krzywicki
CrowdRadar: a mobile crowdsensing framework for urban traffic green travel safety risk assessment [0.03%]
CrowdRadar:一种城市交通绿行的移动群体感知框架（用于通勤安全风险评估）
Yigao Wang,Qingxian Tang,Wenxuan Wei et al.
Yigao Wang et al.
As environmental awareness increased due to the surge in greenhouse gases, green travel modes such as bicycles and walking have gradually became popular choices. However, the current traffic environment has many hidden problems that endange...
Yves Rybarczyk,Rasa Zalakeviciute,Marija Ereminaite et al.
Yves Rybarczyk et al.
The planet is experiencing global warming, with an increasing number of heat waves worldwide. Cities are particularly affected by the high temperatures because of the urban heat island (UHI) effect. This phenomenon is mostly explained by th...
Waleed Albattah,Rehan Ullah Khan
Waleed Albattah
The exponential growth of image and video data motivates the need for practical real-time content-based searching algorithms. Features play a vital role in identifying objects within images. However, feature-based classification faces a cha...
Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph [0.03%]
基于肺癌知识图的边级多约束图模型匹配
Houdie Tu,Lei Li,Zhenchao Tao et al.
Houdie Tu et al.
Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability to return subgraphs qu...
Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022 [0.03%]
贝叶斯网络在巴西高中教育数据库中的应用：分析2019年至2022年疫情期间亚马逊州ENEM的影响
Sandio Maciel Dos Santos,Marcelino Silva da Silva,Fábio Manoel França Lobato et al.
Sandio Maciel Dos Santos et al.
This study examines the impact of the COVID-19 pandemic on academic performance and student participation in the National High School Exam (ENEM) in the state of Pará, Brazil, focusing on the interaction between socioeconomic factors, acce...
(KAUH-BCMD) dataset: advancing mammographic breast cancer classification with multi-fusion preprocessing and residual depth-wise network [0.03%]
(KAUH-BCMD)数据集：使用多模态预处理和残差深度通道网络推进乳房X线摄影乳腺癌分类
Asma&#x;a Mohammad Al-Mnayyis,Hasan Gharaibeh,Mohammad Amin et al.
Asma&#x;a Mohammad Al-Mnayyis et al.
The categorization of benign and malignant patterns in digital mammography is a critical step in the diagnosis of breast cancer, facilitating early detection and potentially saving many lives. Diverse breast tissue architectures often obscu...
Erratum: Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph [0.03%]
勘误：带有肺癌知识图的边级多约束图模式匹配
Frontiers Production Office
Frontiers Production Office
[This corrects the article DOI: 10.3389/fdata.2025.1546850.]. Keywords: Monte Carlo method; graph pattern ma...
Published Erratum
Frontiers in big data. 2025 Mar 4:8:1582619. DOI:10.3389/fdata.2025.1582619 2025