[HTML][HTML] Biofouling detection and classification in tidal stream turbines through soft voting ensemble transfer learning of video images

H Rashid, M Benbouzid, Y Amirat, T Berghout… - … Applications of Artificial …, 2024 - Elsevier
This study addresses the biofouling challenges in Tidal Stream Turbines (TSTs) to ensure
their reliable and optimal operation. In this context, it is proposed an effective methodology …

[HTML][HTML] Energy Harvesting of Droplet-based Triboelectric Nanogenerators: From Mechanisms toward Performance optimizations

Z Hu, S Gong, J Chen, H Guo - DeCarbon, 2024 - Elsevier
Triboelectric Nanogenerator (TENG), which couples the contact electrification (CE) and
electrostatic induction effects, provides a promising route to efficiently harvest energy from …

[HTML][HTML] A 2D VMD video image processing-based transfer learning approach for the detection and estimation of biofouling in tidal stream turbines

H Habbouche, H Rashid, Y Amirat, A Banerjee… - Ocean …, 2024 - Elsevier
Harnessing the power of tidal streams is a sustainable way of exploiting renewable marine
energy resources. It involves installing tidal stream turbines underwater to harness the …

Formal Modeling and Verification of Justification and Finalization of Checkpoints in Ethereum 2.0 Beacon Chain

M Rashid, I Rasool, NA Zafar… - 2024 IEEE 1st Karachi …, 2024 - ieeexplore.ieee.org
New to the Ethereum platform with version 2.0 is the Beacon chain. Validator status,
attestation information, and many more are maintained via the proof-of-stake (PoS) …

The Advantages and Challenges of Carbon Fiber Reinforced Polymers for Tidal Current Turbine Systems-An Overview

D Satrio, S Musabikha, S Junianto… - … Series: Earth and …, 2024 - iopscience.iop.org
A significant step in reducing the effects of greenhouse gases is obtaining electric energy
from renewable sources. Electricity from tidal currents using underwater turbines is one of …

[HTML][HTML] B-FLOWS: Biofouling Focused Learning and Observation for Wide-Area Surveillance in Tidal Stream Turbines

H Rashid, H Habbouche, Y Amirat, A Mamoune… - Journal of Marine …, 2024 - mdpi.com
Biofouling, the accumulation of marine organisms on submerged surfaces, presents
significant operational challenges across various marine industries. Traditional detection …

Mapping a Machine Learning Path Forward for Tidal Stream Turbines Biofouling Detection and Estimation

H Rashid, M Benbouzid… - IECON 2023-49th …, 2023 - ieeexplore.ieee.org
This paper proposes to map a machine learning path forward for tidal stream turbines
biofouling detection and estimation. The proposed review covers an overview of biofouling …

[PDF][PDF] Detection and Classification of Biofouling in Tidal Stream Turbines through Soft Voting Ensemble Transfer Learning of Video Images

H Rashid, M Benbouzid, Y Amirat, B Tarek… - Journées couplées du …, 2024 - hal.science
This study addresses biofouling challenges in tidal stream turbines, proposing a transfer
learning-based methodology for effective detection and classification. It utilizes a soft voting …