Our study investigates using a unified framework for indoor scene creation in industrial
settings that combines Cyber-Physical Systems (CPS) with 6G technologies. This research …

This paper introduces a deep learning approach based on long short-term memory (LSTM)
artificial neural networks for predictive window operation modeling of open-plan offices. The …

The roll out of 5G has been mainly characterized by its distinct support for vertical industries,
especially manufacturing. Leveraging synergies among these two worlds, namely …

In this paper, a novel paradigm of adapting wireless communications based on the factory
schedules in an indoor factory floor is explored. Since the fourth industrial revolution (4IR) …

Gathering sufficient labeled training data to effectively train a high-performing deep learning
model can be particularly challenging in the realm of industrial automation. Depending on …

This study explores how the past, both short and long-term, affects the predictive window
operation modeling in open-plan offices. To achieve this, the study proposes a deep …

In this paper, we propose a Space Inventory Management System (SIMS) framework that
incorporates digital and analog data types to identify tangible space feature compositions as …

Emerging demands across diverse industry sectors, notably in manufacturing, are ushering
in a new era of unprecedented challenges. These challenges necessitate a resilient and …

Safety management is a priority to guarantee human-centered manufacturing processes in
the context of Industry 5.0, which aims to realize a safe human–machine environment based …

Industry 4.0 is forming the manufacturing industry towards more agile and networked
operations enriched by exploitation of new technology. Manufacturing is also one of the key …