Deep learning model to predict COPD hospital admissions based on meteorological data: a medical meteorological forecast [0.03%]
基于气象数据预测慢性阻塞性肺疾病住院的医疗气象预报模型
Lei Zhang,Mingjie Zhang,Jinghong Zhang et al.
Lei Zhang et al.
Background: Chronic obstructive pulmonary disease (COPD) has placed a substantial health burden on the world. Meteorological conditions are associated with hospital admissions for COPD. In this study, we aim to develop a ...
Where diverse populations gather: transit accessibility and the spatial structure of social mixing [0.03%]
多式联运接入与社会融合的空间结构
Yuan Liao
Yuan Liao
Urban venues serve as arenas for social mixing, yet less is known about how public transit infrastructure shapes the geography of mixing at specific locations. This study examines how transit catchment diversity-the socioeconomic heterogene...
Inner layer security reinforcement for instant payment systems: a dual layer encryption-steganography evaluation in Brunei's digital payment context [0.03%]
文莱数字支付环境下的即时支付系统内层安全增强：双重加密-信息隐藏评估
Ampuan Shazani Bin Ampuan Haji Sadikin,Heru Susanto
Ampuan Shazani Bin Ampuan Haji Sadikin
Introduction: The rapid adoption of real-time digital payment systems introduces cybersecurity risks that extend beyond technical vulnerabilities to include significant human and organizational factors. ...
Measuring the impact of virtualization and containerization on the environment when using GPUs for processing the AI models [0.03%]
虚拟化和容器化在使用GPU处理AI模型时对环境影响的评估
Safaa Hriez,Mohammad Haikal
Safaa Hriez
Introduction: The rapid growth of artificial intelligence (AI) has significantly increased computing demand, intensifying the operational strain on the computing environment. While virtualization and containerization are ...
Using artificial intelligence to improve governance and public services in Africa [0.03%]
利用人工智能改善非洲治理和公共服务
David Mhlanga
David Mhlanga
African governments continue to face persistent challenges in delivering efficient, transparent, and inclusive public services due to institutional constraints, rapid population growth, and fragmented administrative systems. At the same tim...
Case count metric for comparative analysis of entity resolution results [0.03%]
用于实体解析结果比较分析的案例如何度量指标
John R Talburt,Muzakkiruddin Ahmed Mohammed,Mert Can Cakmak et al.
John R Talburt et al.
Introduction: Entity resolution (ER) systems often produce different clustering outcomes when applied to the same dataset, especially when parameters, algorithms, or system configurations change. However, in many real-wor...
Data field theory: a geometric framework for learning on Riemannian manifolds with synthetic validation and limitation analysis [0.03%]
数据域理论：具有合成验证和局限性分析的黎曼流形学习几何框架
Mohammadreza Nehzati
Mohammadreza Nehzati
Introduction: Conventional machine learning treats learning as parameter optimization, lacking a first-principles framework for phenomena like criticality, generalization, and causal structure. We introduce Data Field The...
Correction: Explainable gradient convolutional vector fuzzy pattern analysis based on ensemble model for facial expression recognition [0.03%]
基于集成模型的可解释梯度卷积向量模糊模式分析人脸表情识别纠错研究
Lakshmi Sarvani Videla,Babu Reddy Mukamalla
Lakshmi Sarvani Videla
[This corrects the article DOI: 10.3389/fdata.2026.1807184.]. Keywords: ensemble machine learning algorithm;...
Published Erratum
Frontiers in big data. 2026 Jun 10:9:1883246. DOI:10.3389/fdata.2026.1883246 2026
When uncertainty guides learning: a highly effective approach to kidney disease classification in CT imaging [0.03%]
不确定性引导的学习：CT影像肾病分类的高有效率方法
Muslima Akter,Fahmid Al Farid,Md Yousuf Ahmad et al.
Muslima Akter et al.
The high cost of expert annotations significantly hinders the advancement of deep learning models for clinical medical imaging. This work introduces an efficient entropy-based active learning framework that achieves outstanding classificati...
Democratizing cloud data lake analytics: natural language access to Apache Iceberg via LLM agents [0.03%]
基于大语言模型的Apache Iceberg数据湖自然语言分析代理中间件研究
Vipin Kataria,Nitin Kumar
Vipin Kataria
Business analysts and non-technical users need insights from enterprise data lakes but lack SQL expertise to query them directly. While large language models (LLMs) can translate natural language to SQL, existing text-to-SQL approaches face...