35   Artículos

 
en línea
Yuyuan Zhang, Yahao Liu, Yuan Kong and Po Hu    
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen    
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)... ver más
Revista: Information    Formato: Electrónico

 
en línea
Georgios Venitourakis, Christoforos Vasilakis, Alexandros Tsagkaropoulos, Tzouma Amrou, Georgios Konstantoulakis, Panagiotis Golemis and Dionysios Reisis    
Aiming at effectively improving photovoltaic (PV) park operation and the stability of the electricity grid, the current paper addresses the design and development of a novel system achieving the short-term irradiance forecasting for the PV park area, whi... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hepeng Liu, Denghua Li and Yong Ding    
The construction of a reasonable and reliable deformation prediction model is of great practical significance for dam safety assessment and risk decision-making. Traditional dam deformation prediction models are susceptible to interference from redundant... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Martin Paralic, Kamil Zelenak, Patrik Kamencay and Robert Hudec    
The paper introduces an approach for detecting brain aneurysms, a critical medical condition, by utilizing a combination of 3D convolutional neural networks (3DCNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Brain aneurysms pose a significant ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Juanjuan Feng, Jia Li, Wenjie Zhong, Junhui Wu, Zhiqiang Li, Lingshuai Kong and Lei Guo    
Arctic sea ice prediction is of great practical significance in facilitating Arctic route planning, optimizing fisheries management, and advancing the field of sea ice dynamics research. While various deep learning models have been developed for sea ice ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Hongseob Bae and Jaesung Park    
Optimizingthe cache hit rate in a multi-access edge computing (MEC) system is essential in increasing the utility of a system. A pivotal challenge within this context lies in predicting the popularity of a service. However, accurately predicting popular ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mostafa Aliyari and Yonas Zewdu Ayele    
This article aims to assess the effectiveness of state-of-the-art artificial neural network (ANN) models in time series analysis, specifically focusing on their application in prediction tasks of critical infrastructures (CIs). To accomplish this, shallo... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Albatul Albattah and Murad A. Rassam    
Deep learning (DL) models are frequently employed to extract valuable features from heterogeneous and high-dimensional healthcare data, which are used to keep track of patient well-being via healthcare monitoring systems. Essentially, the training and te... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Feixiang Ren, Jiwang Du and Daofang Chang    
To address the challenge of accurate lifespan prediction for bearings in different operating conditions within ship propulsion shaft systems, a two-stage prediction model based on an enhanced domain adversarial neural network (DANN) is proposed. Firstly,... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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