19/05/2020 -
Field Canals Improvement Projects is an important sustainable project to save fresh water in our world. Machine learning and artificial intelligence (AI) needs sufficient dataset size to model and...
25/09/2021 -
This study presents evidence of a developed ensemble of ensembles predictive model for delay prediction – a global phenomenon that has continued to strangle the construction sector despite...
15/12/2022 -
In recent years, the energy industry based on energy resources has achieved rapid development, but under the background of green development strategy, traditional energy companies are also in...
07/07/2021 -
Within the last years, digital light processing (DLP) became a viable solution for the manufacturing of end-use parts in various industries among other additive manufacturing (AM) processes. As...
01/10/2021 -
The growing Artificial Intelligence (AI) age has been flooded with several innovations in algorithmic machine learning that may bring significant impacts to industries such as healthcare,...
11/04/2022 -
Inaccurate forecasts of operating expenditures (OPEX) during the planning phase for new Light Rail Transit (LRT) projects in the United States underestimated future costs by up to 45% (Harmatuck,...
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Advances in machine learning and Big Data research offer great potential for international development agencies to leverage the vast information generated from accountability mechanisms to gain...
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Social IoT has become a sensitive topic in the last years, mainly due to the attraction of social networks and the related digital activities amongst the population. These techniques are gaining even...
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Accurately estimating the prices of houses is important for various stakeholders including house owners, real estate agencies, government agencies, and policy-makers. Towards this end, traditional...
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The World Wide Web (WWW) has become a popular and readily accessible big data source in recent decades. The information in the WWW is offered in many different types, e.g. Google Trends, which...
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Subgraph matching aims to find similar substructures in a single graph according to a given query graph and is known as a basic query for graph data management. There exist many categories of...
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Over the past decade, the rapid increase in connected devices has enabled the emergence of new digital ecosystems to provide new opportunities for monitoring and managing systems to optimize overall...
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Alliance blockchains provide a multi-party trusted data trading environment, promoting the development of the data trading market in which the value compensation for personal data is still a key...
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Recent advances in machine learning (ML) bring more opportunities for greater implementation of smart government construction. However, there are many challenges in terms of government data...
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Huge amounts of data are produced inside an industrial production plant every minute. This data is getting more accessible by higher network and computing capabilities. This poses an opportunity to...
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In the past few decades, technology has progressively become ineluctable in human lives, primarily due to the growth of certain fields like space technology, Big Data, the Internet of Things (IoT),...
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To meet the challenges of massive data, many big data platforms have been used in practice. In these data processing platforms, there are many correlated parameters that have an impact on processing...
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In this work we analyse occupational profiles in the Brazilian workforce through data analysis. To achieve that, we implement NMF clustering over data provided by the Brazilian Ministry of Economy....
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Web analytics has changed significantly in recent years. As part of the big data revolution, frequent low-level user actions, such as mouse movements and clicks, are often used in modern web...
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Energy shortage, greenhouse effect and environmental pollution are the three major crises faced by mankind. How to solve these three problems effectively has become the focus of all countries....
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The PM2.5 index is a vitally important air pollution indicator that reflects the atmospheric concentration of particulate matter with diameters less than 2.5 μm. Recently, researchers have sought...