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Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. (2023)
Presentation / Conference Contribution
STEWART, C., FOUGH, N., ERDOGAN, N. and PRABHU, R. 2023. Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, Valletta, Malta. Piscataway: IEEE [online], pages 110-115. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317266

As the Internet of Things (IoT) continues to find new applications, there is academic and industrial interest in expanding these concepts to the oceanic environment where data is traditionally challenging to communicate wirelessly, establishing an Un... Read More about Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things..

Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. (2023)
Journal Article
AMADI, K., IYALLA, I., PRABHU, R., ALSABA, M. and WALY, M. 2023. Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. Journal of petroleum exploration and production technology [online], 13(10), pages 2049-2062. Available from: https://doi.org/10.1007/s13202-023-01656-9

The growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling operations. In the traditional drilling method, the effort and time required to optimize drilling dep... Read More about Development of predictive optimization model for autonomous rotary drilling system using machine learning approach..

Rapid extraction of high- and low-density microplastics from soil using high-gradient magnetic separation. (2022)
Journal Article
RAMAGE, S.J.F.F., PAGALING, E., HAGHI, R.K., DAWSON, L.A., YATES, K., PRABHU, R., HILLIER, S. and DEVALLA, S. 2022. Rapid extraction of high- and low-density microplastics from soil using high-gradient magnetic separation. Science of the total environment, [online], 831, article 154912. Available from: https://doi.org/10.1016/j.scitotenv.2022.154912

Microplastics (MPs) are present in all environments, and concerns over their possible detrimental effects on flora and fauna have arisen. Density separation (DS) is commonly used to separate MPs from soils to allow MP quantification; however, it freq... Read More about Rapid extraction of high- and low-density microplastics from soil using high-gradient magnetic separation..

Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges. (2022)
Journal Article
FASIAL, N.H., AHMED, R., SELLAMI, N. et al. 2022. Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges. Advanced engineering materials [online], 24(7), article number 2200171. Available from: https://doi.org/10.1002/adem.202200171

This review aims to consolidate scattered literature on thermally sprayed coatings with nonionizing electromagnetic (EM) wave absorption and shielding over specific wavelengths potentially useful in diverse applications (e.g., microwave to millimeter... Read More about Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges..