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Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol (2019)
Journal Article
Kakati, D., Roy, S., & Banerjee, R. (2019). Development of an artificial neural network based virtual sensing platform for the simultaneous prediction of emission-performance-stability parameters of a diesel engine operating in dual fuel mode with port injected methanol. Energy Conversion and Management, 184, https://doi.org/10.1016/j.enconman.2019.01.087

On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding (2019)
Presentation / Conference Contribution
Ismail, K., & Breckon, T. (2019, December). On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding. Presented at 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), Boca Raton, Florida, USA

Whilst real-time object detection has become an increasingly important task within urban scene understanding for autonomous driving, the majority of prior work concentrates on the detection of obstacles, dynamic scene objects (pedestrians, vehicles)... Read More about On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding.

A review of the current automotive manufacturing practice from an energy perspective (2019)
Journal Article
Giampieri, A., Ling-Chin, J., Ma, Z., Smallbone, A., & Roskilly, A. (2020). A review of the current automotive manufacturing practice from an energy perspective. Applied Energy, 261, Article 114074. https://doi.org/10.1016/j.apenergy.2019.114074

The automotive industry is facing on-going challenges to improve the sustainability of its manufacturing processes and vehicle emissions due to economic, environmental, marketability and policy concerns. This review aims to evaluate steps that could... Read More about A review of the current automotive manufacturing practice from an energy perspective.

Modelling of Domain Wall Associated Eddy Current in Silicon Steels (2019)
Presentation / Conference Contribution
Guan, W., Gao, Y., Muramatsu, K., & Hamzehbahmani, H. (2020, December). Modelling of Domain Wall Associated Eddy Current in Silicon Steels. Presented at IEEE Conference on Electromagnetic Field computation (IEEE CEFC), Pisa, Italy