All Outputs (4)

The Effect of Motion Blur on Photogrammetric Measurements of a Robotic Moving Target (2021)
Conference Proceeding
Isa, M. A., Leach, R., Branson, D., & Piano, S. (2021). The Effect of Motion Blur on Photogrammetric Measurements of a Robotic Moving Target. In Proceedings of the Thirty-Sixth Annual Meeting of the American Society for Precision Engineering

Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device” (2021)
Journal Article
Lakoju, M., Ajienka, N., Khanesar, M. A., Burnap, P., & Branson, D. T. (2021). Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”. Sensors, 21(15), Article 4991. https://doi.org/10.3390/s21154991

To create products that are better fit for purpose, manufacturers require new methods for gaining insights into product experience in the wild at scale. “Chatty Factories” is a concept that explores the transformative potential of placing IoT-enabled... Read More about Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”.

A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis (2021)
Journal Article
Alruqi, M., Baumers, M., Branson, D., & Farndon, R. (2021). A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis. Management Systems in Production Engineering, 29(3), 165-177. https://doi.org/10.2478/mspe-2021-0021

Failure Mode and Effects Analysis (FMEA) is a systematic approach for evaluating the potential failure modes in a system, and is mainly employed in three distinct tasks labelled: (1) Functional FMEA – evaluating those failures associated with product... Read More about A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis.

Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach (2021)
Journal Article
Khanesar, M. A., Lu, J., Smith, T., & Branson, D. (2021). Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach. Energies, 14(12), 1-18. https://doi.org/10.3390/en14123591

Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of rene... Read More about Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach.