1 code implementation • 13 Nov 2023 • Koorosh Aslansefat, Mojgan Hashemian, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Yiannis Papadopoulos
Machine learning is currently undergoing an explosion in capability, popularity, and sophistication.
no code implementations • 23 Nov 2022 • Sohag Kabir, Koorosh Aslansefat, Prosanta Gope, Felician Campean, Yiannis Papadopoulos
Effective operation and maintenance that ensures the maximum availability of the energy generation process using offshore facilities and minimal production cost are two key factors to improve the competitiveness of this energy source over other traditional sources of energy.
1 code implementation • 19 Jul 2022 • Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs
With an increasing emphasis on driving down the costs of Operations and Maintenance (O&M) in the Offshore Wind (OSW) sector, comes the requirement to explore new methodology and applications of Deep Learning (DL) to the domain.
1 code implementation • Computer 2021 • Koorosh Aslansefat, Sohag Kabir, Amr Abdullatif, Vinod Vasudevan Nair, Yiannis Papadopoulos
The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly.
2 code implementations • 27 May 2020 • Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting, Ramin Tavakoli Kolagari, Yiannis Papadopoulos
Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditionally committed to high safety standards that are not satisfied with an exclusive testing approach of otherwise inaccessible black-box systems.
Ranked #1 on General Classification on XOR
no code implementations • 26 Sep 2018 • Youcef Gheraibia, Abdelouahab Moussaoui, Peng-Yeng Yin, Yiannis Papadopoulos, Smaine Maazouzi
This paper develops Penguin search Optimisation Algorithm (PeSOA), a new metaheuristic algorithm which is inspired by the foraging behaviours of penguins.