Abstract Many of today’s domains of application of Machine Learning (ML) are dynamic in the sense that data and their patterns change over time. This has a significant impact in the ML lifecycle and operations, requiring frequent model (re-)training, or other strategies to deal with outdated models and data. This need for dynamic and responsive […]

Abstract Globally, sustainability concerns have been driving several green strategies towards new business models for industry circularity. While industrial greenality is broadly discussed in literature, still missing a clear roadmap tailored for small and medium enterprises (SMEs) to translate circularity practices into tangible, value-driven datasets. This research work addresses this existing gap by proposing a […]

Abstract The fourth industrial revolution has ushered in a transformative era for the industrial sector, marked by the integration of advanced technologies that increase production efficiency and quality. Among these innovations is Smart Scheduling, which aims to optimize production processes while minimizing costs and meeting manufacturing requirements. This article explores the development and application of […]