[HTML][HTML] Analysis and prediction model of fuel consumption and carbon dioxide emissions of light-duty vehicles

NLH Hien, AL Kor - Applied Sciences, 2022 - mdpi.com
Due to the alarming rate of climate change, fuel consumption and emission estimates are
critical in determining the effects of materials and stringent emission control strategies. In this …

[HTML][HTML] Statistical image properties predict aesthetic ratings in abstract paintings created by neural style transfer

HA Geller, R Bartho, K Thömmes… - Frontiers in neuroscience, 2022 - frontiersin.org
Artificial intelligence has emerged as a powerful computational tool to create artworks. One
application is Neural Style Transfer, which allows to transfer the style of one image, such as …

Keyphrase extraction model: a new design and application on tourism information

HN Le Huy, HH Minh, TN Van, HN Van - Informatica, 2021 - informatica.si
Keyphrase extraction has recently become a foundation for developing digital library
applications, especially in semantic information retrieval techniques. From that context, in …

[HTML][HTML] Displacement Field Construction Based on a Discrete Model in Image Processing Problems

K Elena, L Ekaterina, P Viktor - … университета. Серия: Математика, 2022 - cyberleninka.ru
The problem of a displacement field calculation for an image sequence based on a discrete
model is being solved. Algorithms for velocity field (displacement field) construction are in …

Creation mechanism of new media art combining artificial intelligence and internet of things technology in a metaverse environment

X Wang, L Cai, Y Xu - The Journal of Supercomputing, 2024 - Springer
The Metaverse is regarded as a brand-new virtual society constructed by deep media, and
the new media art produced by new media technology will gradually replace the traditional …

A Deep Learning Model for Context Understanding in Recommendation Systems

NLH Hien, L Van Huy, HH Manh, N Van Hieu - Informatica, 2024 - informatica.si
Due to the robust growth in the amount of data and Internet users, there has been a
significant rise in information overload, hindering timely access to user demand. While …

[HTML][HTML] A Deep Learning Model for Multi-Domain MRI Synthesis Using Generative Adversarial Networks

LHN Han, NLH Hien, LV Huy, NV Hieu - Informatica, 2024 - content.iospress.com
Abstract In recent years, Magnetic Resonance Imaging (MRI) has emerged as a prevalent
medical imaging technique, offering comprehensive anatomical and functional information …

Research and design of image style transfer technology based on multi‐scale convolutional neural network feature fusion

Y Liang, F Lin, W Xie, J Wang, T Nie - Electronics Letters, 2024 - Wiley Online Library
To reduce the occurrence of information loss and distortion in image style transfer, a method
is proposed for researching and designing image style transfer technology based on multi …

Image Filtering Techniques for Object Recognition in Autonomous Vehicles

NLH Hien, AL Kor, MC Ang… - Journal of …, 2024 - eprints.leedsbeckett.ac.uk
The deployment of autonomous vehicles has the potential to significantly lessen the variety
of current harmful externalities,(such as accidents, traffic congestion, security, and …

[PDF][PDF] PlantKViT: A Combination Model of Vision Transformer and KNN for Forest Plants Classification.

N Van Hieu, NLH Hien, L Van Huy… - JUCS: Journal of …, 2023 - academia.edu
The natural ecosystem incorporates thousands of plant species and distinguishing them is
normally manual, complicated, and time-consuming. Since the task requires a large amount …