Machine learning (ML) technologies have become substantial in practically all aspects of
our society, and data quality (DQ) is critical for the performance, fairness, robustness, safety …

An open government data (OGD) is an assortment of datasets dumped by government
agencies into a portal with the goal of promoting the legitimacy and openness of government …

In engineering asset management, accurate failure risk estimation is essential for averting
equipment breakdowns and optimizing risk-based maintenance strategies. Data quality and …

In smart cities, air pollution is a critical issue that affects individual health and harms the
environment. The air pollution prediction can supply important information to all relevant …

Digital Earth (DE), a technology offering real-time visualisation of Earth's processes, has
shown promising results in aiding decision-making for a sustainable world, raising …

Machine learning (ML) technologies have become substantial in practically all aspects of
our society, and data quality (DQ) is critical for the performance, fairness, robustness, safety …

Wireless Sensor Networks (WSN) are equipped with numerous sensors that generate vast
quantities of data, essential for operational efficiency and informed decision-making …

Air pollution is currently a widespread issue affecting various regions around the world,
including Indonesia. This research aims to assess the extent of air pollution based on sky …

The growth of the Internet of Things (IoT) has significantly increased data generated by
connected devices, leading to challenges in data duplication that threaten data quality and …

Air quality has a significant effect on crop production and quality. Crops are affected when
they are exposed to certain air pollutants. The effect might range from visible spots on the …