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    5G-CLARITY: 5G-Advanced Private Networks Integrating 5GNR, Wi-Fi and LiFi 

    Camps, Daniel; Cañellas, Ferran; Fernández, Adriana (2022-01-10)

    The future of the manufacturing industry highlydepends on digital systems that transform existing productionand monitoring systems into autonomous systems fulfilling strin-gent requirements in terms of availability, ...

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    A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases 

    Amor Cambeiro, Marta; Antanopoulos, Angelos; Capsalis, Nikolaos; Conceição, Luís; Giannopoulos, Anastasios; Gkonis, Panagiotis; Gonzalez-Diaz, Sergio; Karkazis, Panagiotis; Rigazzi, Giovanni; Sarakis, Lambros; Spantideas, Sotirios; Trakadas, Panagiotis (2021-08-19)

    The provision of high data rate services to mobile users combined with improved quality of experience (i.e., zero latency multimedia content) drives technological evolution towards the design and implementation of fifth ...

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    Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems 

    Escrig, Josep; Fischer, Oliver J.; Gomes, Rachel L.; Porcu, Laura; Watson, Nicholas (2020-09-02)

    The increasing availability of data, due to the adoption of low-cost industrial internet of things technologies, coupled with increasing processing power from cloud computing, is fuelling increase use of data-driven models ...

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    Intelligent industrial cleaning: A multi-sensor approach utilising machine learning-based regression 

    Escrig, Josep; Simeone, Alessandro; Watson, Nicholas; Wooley, E. (2020-06-29)

    Effectively cleaning equipment is essential for the safe production of food but requires a significant amount of time and resources such as water, energy, and chemicals. To optimize the cleaning of food production equipment, ...

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    Intelligent Resource Use to Deliver Waste Valorisation and Process Resilience in Manufacturing Environments 

    Escrig, Josep; Fischer, Oliver J.; Gomes, Rachel L.; Watson, Nicholas (2020-01-01)

    Circular economy (CE) thinking has emerged as a route to sustainable manufacture, with related cradle-to-cradle implications requiring implementation from the design stage. The challenge lies in moving manufacturing ...

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    Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning 

    Escrig, Josep; Watson, Nicholas; Wooley, E. (2020-04-25)

    Food and drink production equipment is routinely cleaned to ensure it remains hygienic and operating under optimal conditions. A limitation of existing cleaning systems is that they do not know when the fouling material ...

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    Ultrasonic Measurements and Machine Learning for Monitoring the Removal of Surface Fouling during Clean-in-Place Processes 

    Escrig, Josep; Rady, A.; Rangappa, S.; Simeone, A.; Watson, N.J.; Wolley, E. (2020-05-23)

    Cleaning is an essential operation in the food and drink manufacturing sector, although it comes with significant economic and environmental costs. Cleaning is generally performed using autonomous Clean-in-Place (CIP) ...