Data pipeline for real-time energy consumption data management and prediction [0.03%]
实时能源消耗数据管理和预测的数据管道
Jeonghwan Im,Jaekyu Lee,Somin Lee et al.
Jeonghwan Im et al.
With the increasing utilization of data in various industries and applications, constructing an efficient data pipeline has become crucial. In this study, we propose a machine learning operations-centric data pipeline specifically designed ...
Yuri Bogomolov,Alexander Belyi,Stanislav Sobolevsky
Yuri Bogomolov
Introduction: Urban mobility patterns are crucial for effective urban and transportation planning. This study investigates the dynamics of urban mobility in Brno, Czech Republic, utilizing the rich dataset provided by pas...
A scalable MapReduce-based design of an unsupervised entity resolution system [0.03%]
一种可扩展的基于MapReduce的无监督实体解析系统设计
Nicholas Kofi Akortia Hagan,John R Talburt,Kris E Anderson et al.
Nicholas Kofi Akortia Hagan et al.
Traditional data curation processes typically depend on human intervention. As data volume and variety grow exponentially, organizations are striving to increase efficiency of their data processes by automating manual processes and making t...
Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms [0.03%]
利用机器学习算法预测单胎妊娠早产的风险
Qiu-Yan Yu,Ying Lin,Yu-Run Zhou et al.
Qiu-Yan Yu et al.
We aimed to develop, train, and validate machine learning models for predicting preterm birth (
Marie-Olive Thaury,Simon Genet,Léopold Maurice et al.
Marie-Olive Thaury et al.
Introduction: Is Paris a 15-min city, where inhabitants can access essential amenities such as schools and shops with a 15-min walk or bike ride? The concept of a 15-min (more generally, X-minute) city was launched in the...
Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project [0.03%]
联合学习在基因组数据上的有效性：对英国生物库和千人基因组计划的研究
Dmitry Kolobkov,Satyarth Mishra Sharma,Aleksandr Medvedev et al.
Dmitry Kolobkov et al.
Combining training data from multiple sources increases sample size and reduces confounding, leading to more accurate and less biased machine learning models. In healthcare, however, direct pooling of data is often not allowed by data custo...
Mathias Uta,Alexander Felfernig,Viet-Man Le et al.
Mathias Uta et al.
Recommender systems are decision support systems that help users to identify items of relevance from a potentially large set of alternatives. In contrast to the mainstream recommendation approaches of collaborative filtering and content-bas...
Jianwu Wang,Junqi Yin,Mai H Nguyen et al.
Jianwu Wang et al.
Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0 [0.03%]
编辑评论：医疗物联网和医疗保健4.0中的计算智能
Sujata Dash,Subhendu Kumar Pani,Wellington Pinheiro Dos Santos
Sujata Dash
Editorial: Cyber security in the wake of fourth industrial revolution: opportunities and challenges [0.03%]
观点：第四次工业革命背景下的网络安全：机遇与挑战
Elochukwu Ukwandu,Chaminda Hewage,Hanan Hindy
Elochukwu Ukwandu