A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. (2021)
Conference Proceeding
TORAL, L., MORENO-GARCIA, C.F., ELYAN, E. and MEMON, S. 2021. A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. In Barney Smith, E.H. and Pal, U. (eds.) Document analysis and recognition: ICDAR 2021 workshops, part II: proceedings of 16th International conference on document analysis and recognition 2021 (ICDAR 2021), 5-10 September 2021, Lausanne, Switzerland. Lecture notes in computer science, 12917. Cham: Springer [online], pages 268-276. Available from: https://doi.org/10.1007/978-3-030-86159-9_18

Corrosion circuit mark up in engineering drawings is one of the most crucial tasks performed by engineers. This process is currently done manually, which can result in errors and misinterpretations depending on the person assigned for the task. In th... Read More about A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams..

Image pre-processing and segmentation for real-time subsea corrosion inspection. (2021)
Conference Proceeding
PIRIE, C. and MORENO-GARCIA, C.F. 2021. Image pre-processing and segmentation for real-time subsea corrosion inspection. In Iliadis, L., Macintyre, J., Jayne, C. and Pimenidis, E. (eds.). Proceedings of the 22nd Engineering applications of neural networks conference (EANN2021), 25-27 June 2021, Halkidiki, Greece. Proceedings of the International Neural Networks Society (INNS), 3. Cham: Springer [online], pages 220-231. Available from: https://doi.org/10.1007/978-3-030-80568-5_19

Inspection engineering is a highly important field in the Oil & Gas sector for analysing the health of offshore assets. Corrosion, a naturally occurring phenomenon, arises as a result of a chemical reaction between a metal and its environment, causin... Read More about Image pre-processing and segmentation for real-time subsea corrosion inspection..

User-friendly tool to enable individual homeowners to invest in energy efficiency. (2021)
Conference Proceeding
SEDDIKI, M., BENNADJI, A., LAING, R. and GRAY, D. 2021. User-friendly tool to enable individual homeowners to invest in energy efficiency. In Abdelmohsen, S., El-Khouly, T., Mallasi, Z. and Bennadji, A. (eds.). Architecture in the age of disruptive technologies: transformation and challenges: proceedings of the 9th Arab Society for Computer Aided Architectural Design 2021 (ASCAAD 2021), 2-4 March 2021, [virtual conference]. Aberdeen: Robert Gordon University, pages 750-756. Hosted on CumInCAD [online]. Available from: http://papers.cumincad.org/cgi-bin/works/paper/ascaad2021_155

Buildings are an important source of CO2 emissions and account for almost a third of final energy consumption globally. The necessity to achieve energy efficiency standards in new and existing buildings is now recognised. The residential sector consu... Read More about User-friendly tool to enable individual homeowners to invest in energy efficiency..