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Open AccessHierarchical fuzzy regression functions for mixed predictors and an application to real estate price prediction
Categorical features appear in datasets from almost every practice area, including real estate datasets. One of the most critical handicaps of machine learning algorithms is that they are not designed to captu...
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Editorial June 2024 ( Vol 40, Issue 6)
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Open AccessHow to trigger user’s willingness to participate in the metaverse? An exploration of the significant factors of the metaverse
The issue of the metaverse has been widely discussed. The purpose of this research is to investigate users’ willingness to participate in the metaverse. This study used the self-efficacy theory and Theory of R...
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Open AccessMessage from the Editor-in-Chief
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Open AccessNeural 3D reconstruction from sparse views using geometric priors
Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation. Existing methods usually only make use of 2D views, requiring a dense set of input vi...
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Open AccessJoint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening
Automatic segmentation of optic disc (OD) and optic cup (OC) is an essential task for analysing colour fundus images. In clinical practice, accurate OD and OC segmentation assist ophthalmologists in diagnosing...
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Open AccessJNeRF: An efficient heterogeneous NeRF model zoo based on Jittor
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Open AccessSemi-supervised 3D shape segmentation with multilevel consistency and part substitution
The lack of fine-grained 3D shape segmentation data is the main obstacle to develo** learning-based 3D segmentation techniques. We propose an effective semi-supervised method for learning 3D segmentations fr...
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Open AccessPractical construction of globally injective parameterizations with positional constraints
We propose a novel method to compute globally injective parameterizations with arbitrary positional constraints on disk topology meshes. Central to this method is the use of a scaffold mesh that reduces the gl...
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Deep bidirectional LSTM for disease classification supporting hospital admission based on pre-diagnosis: a case study in Vietnam
Overcrowding in hospitals in Vietnam has caused many disadvantages in receiving and treating patients. Especially at the stage of receiving and diagnosing procedures taking patients to the treatment department...
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A novel metaheuristic algorithm inspired by COVID-19 for real-parameter optimization
In this modern world, we are encountered with numerous complex and emerging problems. The metaheuristic optimization science plays a key role in many fields from medicine to engineering, design, etc. Metaheuri...
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Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis
The Coronavirus disease 2019 (COVID-19) has rapidly spread all over the world since its first report in December 2019, and thoracic computed tomography (CT) has become one of the main tools for its diagnosis. ...
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Open AccessA big data smart agricultural system: recommending optimum fertilisers for crops
Nutrients are important to promote plant growth and nutrient deficiency is the primary factor limiting crop production. However, excess fertilisers can also have a negative impact on crop quality and yield, ca...
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Open AccessRendering discrete participating media using geometrical optics approximation
We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete particles. The particle size is expected to range from the scale of the wavelength to several o...
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Open AccessTowards natural object-based image recoloring
Existing color editing algorithms enable users to edit the colors in an image according to their own aesthetics. Unlike artists who have an accurate grasp of color, ordinary users are inexperienced in color se...
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Open AccessMessage from the Editor-in-Chief
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Preface to the Special Issue on Human Pose, Motion, Activities and Shape in 3D
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Open AccessSparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme
Nonnegative tensor decomposition is a versatile tool for multiway data analysis, by which the extracted components are nonnegative and usually sparse. Nevertheless, the sparsity is only a side effect and canno...
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Open AccessHDR-Net-Fusion: Real-time 3D dynamic scene reconstruction with a hierarchical deep reinforcement network
Reconstructing dynamic scenes with commodity depth cameras has many applications in computer graphics, computer vision, and robotics. However, due to the presence of noise and erroneous observations from data ...
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Open AccessInversion-free geometric map** construction: A survey
A geometric map** establishes a correspondence between two domains. Since no real object has zero or negative volume, such a map** is required to be inversion-free. Computing inversion-free map**s is a f...