[HTML][HTML] Numerical methods for monitoring and evaluating the biofouling state and effects on vessels' hull and propeller performance: A review

I Valchev, A Coraddu, M Kalikatzarakis, R Geertsma… - Ocean …, 2022 - Elsevier
Monitoring and evaluating the biofouling state and its effects on the vessel's hull and
propeller performance is a crucial problem that attracts the attention of both academy and …

Ship hull inspection: A survey

B Lin, X Dong - Ocean Engineering, 2023 - Elsevier
To ensure the safety of ship navigation, a regular hull inspection is essential, which can
identify affected structures and guide the appropriate maintenance. Traditional hull …

Multi-modal deep learning model for auxiliary diagnosis of Alzheimer's disease

F Zhang, Z Li, B Zhang, H Du, B Wang, X Zhang - Neurocomputing, 2019 - Elsevier
Alzheimer's disease (AD) is one of the most difficult to cure diseases. Alzheimer's disease
seriously affects the normal lives of the elderly and their families. The mild cognitive …

[Retracted] Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation

W Wang, K Xu, H Niu, X Miao - Complexity, 2020 - Wiley Online Library
Online education has developed rapidly due to its irreplaceable convenience. Under the
severe circumstances caused by COVID‐19 recently, many schools around the world have …

Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study

E Perez, O Reyes, S Ventura - Medical image analysis, 2021 - Elsevier
Melanoma is the type of skin cancer with the highest levels of mortality, and it is more
dangerous because it can spread to other parts of the body if not caught and treated early …

RETRACTED ARTICLE: Evaluating the effectiveness of rationale-augmented convolutional neural networks for deepfake detection

SR Ahmed, E Sonuç - Soft Computing, 2023 - Springer
The publisher has retracted this article in agreement with the Editor-in-Chief. The article was
submitted to be part of a guest-edited issue. An investigation by the publisher found a …

Semantic segmentation in underwater ship inspections: Benchmark and data set

M Waszak, A Cardaillac, B Elvesæter… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In this article, we present the first large-scale data set for underwater ship lifecycle
inspection, analysis and condition information (LIACI). It contains 1893 images with pixel …

[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 …

A multi-task segmentation and classification network for remote ship hull inspection

B Lin, X Dong - Ocean Engineering, 2024 - Elsevier
In contrast to manual close-up ship hull inspection methods, Remote Inspection Technology
(RIT) offers the potential to improve performance while minimising costs. Nevertheless, the …

Image-based incipient fault classification of electrical substation equipment by transfer learning of deep convolutional neural network

X Guan, W Gao, H Peng, N Shu… - IEEE Canadian Journal …, 2021 - ieeexplore.ieee.org
A transfer learning-based deep convolutional neural network (DCNN) is employed in this
article to identify several typical electrical substation equipment incipient faults. Image …