Abstract Recently, advances in Information Technologies (social networks, mobile applications, Internet of Things, etc.) generate a deluge of digital data; but to convert these …
In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical …
Data exploration and quality analysis is an important yet tedious process in the AI pipeline. Current data cleaning and data readiness assessment practices for machine learning tasks …
Agriculture is the backbone of a country's economic system, considering that it not only provides food and raw materials but also employment opportunities for a large percentage of …
Classification is a kernel process in the standardization, grading, and sensory aspects of coffee industries. The chemometric data of fatty acids and crude fat are used to characterize …
Nowadays, the development of data warehouses shows the importance of data quality in business success. Data warehouse projects fail for many reasons, one of which is the low …
The increasing availability of longitudinal data (repeated numerical observations of the same units at different times) requires the development of flexible techniques to …
The continuous improvement approach is key to achieve a sustainable competitive advantage for organizations in their business processes. Nowadays, organizational …