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A Practical Data Quality Assessment Method for Raw Data in Vessel Operations
With the current revolution in Ship** 4.0, a tremendous amount of data is accumulated during vessel operations. Data quality (DQ) is becoming more...
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Which Data Quality Model for Recommender Systems?
Although data quality has been acknowledged as a significant issue in a variety of information systems research studies, it has received little...
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Uncovering Data Quality Issues in Big Healthcare Data: Implications for Accurate Analytics
Data quality assessment is a critical aspect of analyzing big healthcare data to ensure accurate analytics. This paper emphasizes the crucial role of...
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Pre-control of grinding surface quality by data-driven: a review
Grinding surface quality is a key indicator to determine the performance of parts and the reliability of products. During the grinding process, the...
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Big Data Between Quality and Security
Data is one of the most precious assets an organization can have; it may have a huge impact on its longterm performance, or even, existence. Hence,...
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Bayesian Decision-Making Process Including Structural Health Monitoring Data Quality for Bridge Management
The article introduces a decision-making framework and process for including the data quality (DQ) of structural health monitoring (SHM) for bridge...
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Air quality visualization analysis based on multivariate time series data feature extraction
AbstractAir quality analysis helps analysts understand the state of atmospheric pollution and its changing trends, providing robust data and...
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Exploratory Data Analysis of Bhavani River Water Quality Index Data
Exploratory data analysis enables researchers to understand the characteristics of the primary data concerning various statistical measures. This...
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The State of the Art in Quality Infrastructure Data
The interest in quality infrastructure (QI) has increased significantly over the last decade among researchers, practitioners, policymakers, and...
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Current Challenges of Big Data Quality Management in Big Data Governance: A Literature Review
Advent of big data has changed the way data-driven organizations collect, process and analyses the data. However, considering how data is generated...
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Data Quality Assessment for ML Decision-Making
Data quality has a strong effect on the design, validation and testing of decision-making systems. New paradigms of future models in the knowledge...
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A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops
In modern markets, increasing quality requirements necessitate high performance quality assurance processes to guarantee the fulfillment of these...
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Data Quality Assessment Framework and Economic Indicators
Economic indicators are an essential instrument to support fundamental analysis for business decisions. During the COVID-19 pandemic, policymakers...
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Machine learning-based shear force quality prediction of ultrasonic wire bonds: utilizing process data and machine data without additional sensors
Ultrasonic wire bonding is a highly automated production process that is used billions of times a year in the electronics and electromobility...
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A Study on Data Quality and Analysis in Business Intelligence
Data quality is an increasingly important concern for organizations as their dependence on data to make decisions is growing. Business Intelligence...
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Water Quality Inversion of UAV Multispectral Data Using Machine Learning
The majority of water quality inversions rely on satellite data with poor spectral resolution. Satellite data is tougher to obtain for a specific...
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Dynamic Neural Assimilation: a deep learning and data assimilation model for air quality predictions
Ambient air pollution is known to be a serious issue that has an impact on human health and the environment. Assessing air quality is of the utmost...
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Big Data Application in Aerospace Product Intelligent Quality Control: A Survey
A systematic approach to quality management has been accumulated in aerospace industry, and also a large amount of quality data has also been...
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Hot metal quality monitoring system based on big data and machine learning
The system of hot metal quality monitoring was established based on big data and machine learning using the real-time production data of a steel...
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An Exploratory Data Analysis on Air Quality Data of Trivandrum
Data analysis is the most integral part of any research. It is the process of examining the data using statistical methods to identify the hidden...