All Outputs (4)

Plastic waste over the ocean: an approach to surface recognition. (2025)
Presentation / Conference Contribution
SHAH, F.M., FOUGH, F., SHAH, Z.M., FOUGH, N. and ZHAO, Y. 2024. Plastic waste over the ocean: an approach to surface recognition. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], article 10849157. Available from: https://doi.org/10.1109/ICECS61496.2024.10849157

To address the challenges of low detection accuracy and slow recognition of floating objects on water surfaces, an enhanced YOLOv5 algorithm has been developed. This improved algorithm incorporates a coordinate attention mechanism to enhance spatial... Read More about Plastic waste over the ocean: an approach to surface recognition..

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning. (2024)
Presentation / Conference Contribution
FOUGH, F., ZHAO, Y. and SHAH, F.M. 2024. Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics circuits and systems 2024 (IEEE ICECS2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], article 10849269. Available from: https://doi.org/10.1109/ICECS61496.2024.10849269

Antimicrobial resistance (AMR) poses a serious threat to public health and serves as a vital reservoir for resistant microorganisms. Antimicrobial resistance (AMR) is an increasingly critical public health issue that requires precise and efficient me... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning..

Data sonification of film capacitors. (2024)
Journal Article
ZHANG, Y.-X., LIU, D.-F., WEI, X.-Y., WANG, X.-J., CHEN, F.-Y., FENG, Q.-K., CAO, W.-Y., DONG, W.-Z., SHAH, F.M., LIU, Y.-X., WU, Z.-Y., WANG, J.-T., ZHONG, S.-L. and DANG, Z.-M. 2024. Data sonification of film capacitors. IET nanodielectrics [online], 7(2), pages 88-95. Available from: https://doi.org/10.1049/nde2.12078

Film capacitors are playing an increasingly important role in power-related fields, driven by the continuous development of dielectric materials and practical needs. Long-term accumulation has also led to an increasing wealth of data related to film... Read More about Data sonification of film capacitors..

AI safety of film capacitors. (2023)
Journal Article
ZHANG, Y.-X., CHEN, F.-Y., LIU, D.-F., WANG, J.-X., FENG, Q.-K., JIANG, H.-Y., WANG, X.-J., ZHAO, H.-B., ZHONG, S.-L., SHAH, F.M. and DANG, Z.-M. 2024. AI safety of film capacitors. IET nanodielectrics [online], 7(3), pages 131-139. Available from: https://doi.org/10.1049/nde2.12071

With a large number of film capacitors being deployed in critical locations in electrical and electronic systems, artificial intelligence (AI) technology is also expected to address the problems encountered in this process. According to our findings,... Read More about AI safety of film capacitors..