[HTML][HTML] On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review
Data Quality in IoT Temperature Sensor Systems: Demonstrated on Time-Dependent Temperature Fluctuations
The growing integration of the Internet of Things (IoT) in Industry 4.0 is primarily attributed to
its low cost and high adaptability. This article addresses the expansive application of IoT …
its low cost and high adaptability. This article addresses the expansive application of IoT …
Large-Scale Data Quality Challenges, Framework and Evaluation in Metro Systems
T Yuan, W **ong, S Liu - IEEE Transactions on Big Data, 2024 - ieeexplore.ieee.org
Data quality is a fundamental challenge for downstream data mining tasks. While numerous
studies have addressed data quality issues in various contexts, there is a notable lack of …
studies have addressed data quality issues in various contexts, there is a notable lack of …
Unified Data Framework for Enhanced Data Management, Consumption, Provisioning, Processing and Movement
In today's environment, where data is a critical asset for decision-making, the flexibility and
responsiveness of data strategies are crucial. However, many organizations face challenges …
responsiveness of data strategies are crucial. However, many organizations face challenges …
Big Data Governance Challenges Arising from Data Generated by Intelligent Systems Technologies: A Systematic Literature Review
The exponential growth of intelligent systems technologies, including Artificial Intelligence
(AI), Internet of Things (IoT), Machine Learning (ML), and Smart Connected Products, has …
(AI), Internet of Things (IoT), Machine Learning (ML), and Smart Connected Products, has …