Outputs (3)

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..

A rough Dombi Bonferroni based approach for public charging station type selection. (2023)
Journal Article
DEVECI, M., ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and CALI, U. 2023. A rough Dombi Bonferroni based approach for public charging station type selection. Applied energy [online], 345, article 121258. Available from: https://doi.org/10.1016/j.apenergy.2023.121258

As the transition to electric mobility accelerates, charging infrastructure is rapidly expanding. Publicly accessible chargers, also known as electric vehicle supply equipment (EVSE), are critical not only for further promoting the transition but als... Read More about A rough Dombi Bonferroni based approach for public charging station type selection..

Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. (2023)
Journal Article
PARMAKSIZ, H., YUZGEC, U., DOKUR, E. and ERDOGAN, N. 2023. Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. Knowledge-based systems [online], 268, article 110472. Available from: https://doi.org/10.1016/j.knosys.2023.110472

The Dragonfly algorithm (DA) is a heuristic optimization algorithm that is commonly used for complex optimization problems. Despite its widespread application, the abundance of social behaviors in its construct can lead to poor accuracy in solutions... Read More about Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting..