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Informatik Spektrum, 2019 Data analytics have emerged in recent years as a family of overlapping, competing and hybridising products and practices. They have been championed by technology companies, academics, business users and governments alike, and in a short period of time have earned business developers and adopters billions of pounds in revenue and unprecedented levels of
Shepherd, Ifan D. H., Hearne, Gary
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Health Inequality Monitoring channel on OpenWHO: capacity strengthening through eLearning
International Journal for Equity in Health, 2022 Background Health inequality monitoring can generate important evidence to inform and motivate changes to policy, programmes and practices. However, the potential of health inequality monitoring practices to quantify inequalities between population ...
Nicole Bergen +6 more
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Declarative Data Analytics: A Survey [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2021 The area of declarative data analytics explores the application of the declarative paradigm on data science and machine learning. It proposes declarative languages for expressing data analysis tasks and develops systems which optimize programs written in those languages.
Nantia Makrynioti, Vasilis Vassalos
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International Journal for Equity in Health, 2022 Background The coronavirus pandemic has exposed existing social inequalities in relation to disease preventive behaviors, risk of exposure, testing and healthcare access, and consequences as a result of illness and containment measures across different ...
Katherine Kirkby +4 more
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International Journal for Equity in Health, 2022 Background The Sustainable Development Goals have helped to focus attention on the importance of reducing inequality and ‘leaving no one behind’. Monitoring health inequalities is essential for providing evidence to inform policies, programmes and ...
Katherine Kirkby +4 more
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, 2021 Machine Learning (ML) techniques have begun to dominate data analytics applications and services. Recommendation systems are a key component of online service providers. The financial industry has adopted ML to harness large volumes of data in areas such as fraud detection, risk-management, and compliance.
Richard Mortier +3 more
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Improving Visual Defect Detection and Localization in Industrial Thermal Images Using Autoencoders
Journal of Imaging, 2023 Reliable functionality in anomaly detection in thermal image datasets is crucial for defect detection of industrial products. Nevertheless, achieving reliable functionality is challenging, especially when datasets are image sequences captured during ...
Sasha Behrouzi +6 more
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Healthcare data analytics [PDF]
Information Systems and e-Business Management, 2015 Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Hui Yang 0003 +2 more
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On-Line Model Predictive Control for Energy Efficiency in Data Center [PDF]
한국정밀공학회지, 2021 It is important to minimize electric energy consumption of a data center that uses enormous electricity for maintaining an adequate indoor temperature.
Min Sik Chu +3 more
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Smart Greenhouse Design for Strawberry Cultivation in Pandanrejo, Batu City
Jurnal Sosial Humaniora, 2023 Batu City, which is famous as a tourist city, is not only an urban area. Most of the Batu city area is a rural area, especially the northern area which is included in the Bumiaji sub-district.
Muhammad Arief Bustomi +5 more
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