Big Data
Big Data
Información big data.
Data on Field Canals Improvement Projects for Cost Prediction Using Artificial Intelligence
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...
Applied artificial intelligence for predicting construction projects delay
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...
Evaluation on the impact of digital transformation on the economic resilience of the energy industry in the context of artificial intelligence
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...
Economic assessment for additive manufacturing of automotive end-use parts through digital light processing (DLP)
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...
Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy
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,...
Machine learning-based cost predictive model for better operating expenditure estimations of U.S. light rail transit projects
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,...
Harnessing the power of machine learning analytics to understand food systems dynamics across development projects
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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...
A Facial Expression Recognition Approach for Social IoT Frameworks
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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...
Linked Open Government Data to Predict and Explain House Prices: The Case of Scottish Statistics Portal
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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...
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries
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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...
A Twig-Based Algorithm for Top-k Subgraph Matching in Large-Scale Graph Data
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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...
A Multi-Objective Clustering for Better Data Management in Connected Environment
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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...
A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains
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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...
An Intelligent Government Complaint Prediction Approach
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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...
Detecting Seasonal Dependencies in Production Lines for Forecast Optimization
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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...
Satellite IoT Based Road Extraction from VHR Images Through Superpixel-CNN Architecture
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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),...
XDataExplorer: A Three-Stage Comprehensive Self-Tuning Tool for Big Data Platforms
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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...
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization
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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....
Virtual Finger-Point Reading Behaviors: A Case Study of Mouse Cursor Movements on a Website
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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...
Evaluating and optimizing the cold energy efficiency of power generation and wastewater treatment in LNG-fired power plant based on data-driven approach
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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....
Densely connected convolutional networks with attention long short-term memory for estimating PM2.5 values from images
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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...