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Article
A two-stage fusion remote sensing image dehazing network based on multi-scale feature and hybrid attention
Remote sensing images acquired under bad weather conditions often suffer from serious degradation such as color distortion, blur and low contrast, which seriously affects their application in vision tasks. To ...
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Article
Deep learning based features extraction for facial gender classification using ensemble of machine learning technique
Accurate and efficient gender recognition is an essential for many applications such as surveillance, security, and biometrics. Recently, deep learning techniques have made remarkable advancements in feature e...
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Article
Open AccessMechanistic understanding of speciated oxide growth in high entropy alloys
Complex multi-element alloys are gaining prominence for structural applications, supplementing steels, and superalloys. Understanding the impact of each element on alloy surfaces due to oxidation is vital in m...
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Article
Non-corresponding and topology-free 3D face expression transfer
Expression transfer is an important task in computer graphics and vision. Existing 3D face models constructed on registered meshes or shapes with corresponding vertices cannot transfer expression over practica...
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Article
Influences of the beam offset on microstructures and performance of fiber laser welded Nb521/Ti dissimilar joints
The influences of different laser beam offsets (LBOs) on the microstructures and mechanical performance of the welded joints were studied. In joints with LBO = +0.3, LBO = 0, and LBO = −0.3, the widths of fusi...
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Article
Stacked ensemble learning for facial gender classification using deep learning based features extraction
Automatic gender classification is an important task in facial analysis. Recently, deep learning has achieved remarkable progress in extracting deep features for face image analysis, particularly in gender cla...
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Article
Open AccessESG guidance and artificial intelligence support for power systems analytics in the energy industry
In order to increase the precision and effectiveness of power system analysis and fault diagnosis, this study aims to assess the power systems in the energy sector while utilizing artificial intelligence (AI) ...
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Article
Open AccessConstruction of new energy consumption optimization model based on improved pathfinder algorithm
As traditional energy reserves continue to decline, the importance of new energy sources increases. However, the current traditional power system often fails to consider new energy sources, particularly in pow...
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Article
Point clouds feature frequency domain analysis based on multilayer perceptron
We propose a method for frequency domain feature analysis of point clouds based on the multilayer perceptron paradigm (MLP), named PFFA-MLP. By leveraging the Fourier transform and the latest MLP as a replacem...
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Article
Nontarget screening analysis of organic compounds in river sediments: a case study in the Taipu River of the Yangtze River Delta Region in China
Sediments are the vital fate of organic compounds, and the recognition of organic compounds in sediments is constructive in providing comprehensive and long-term information. In this study, a three-step nontar...
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Article
Crack identification in concrete, using digital image correlation and neural network
In engineering applications, concrete crack monitoring is very important. Traditional methods are of low efficiency, low accuracy, have poor timeliness, and are applicable in only a limited number of scenarios...
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Article
Open AccessGeometry-aware 3D pose transfer using transformer autoencoder
3D pose transfer over unorganized point clouds is a challenging generation task, which transfers a source’s pose to a target shape and keeps the target’s identity. Recent deep models have learned deformations ...
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Article
Refined dense face alignment through image matching
Face alignment is the foundation of building 3D avatars for virtue communication in the metaverse, human-computer interaction, AI-generated content, etc., and therefore, it is critical that face deformation is...
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Article
Influences of the Powder Size and Process Parameters on the Quasi-Stability of Molten Pool Shape in Powder Bed Fusion-Laser Beam of Molybdenum
Formation of a quasi-steady molten pool is one of the necessary conditions for achieving excellent quality in many laser processes. The influences of distribution characteristics of powder sizes on quasi-stabi...
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Article
Open AccessMulti-dimensional resource allocation strategy for LEO satellite communication uplinks based on deep reinforcement learning
In the LEO satellite communication system, the resource utilization rate is very low due to the constrained resources on satellites and the non-uniform distribution of traffics. In addition, the rapid movement...
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Article
Memory-based gradient-guided progressive propagation network for video deblurring
Video deblurring is a challenging visual task because it requires handling temporal correlations among frames and dealing with various sources of uncertainty in motion blur. To tackle these challenges and effe...
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Article
NeighborMix data augmentation for image recognition
Data augmentation can effectively enrich the diversity of training datasets to improve the generalization ability of deep learning models. Existing augmentation methods have achieved excellent performance on i...
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Article
Open AccessChallenging thermodynamics: combining immiscible elements in a single-phase nano-ceramic
The Hume-Rothery rules governing solid-state miscibility limit the compositional space for new inorganic material discovery. Here, we report a non-equilibrium, one-step, and scalable flame synthesis method to ...
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Article
Open AccessThe effect of periodic resistance training on obese patients with type 2 diabetic nephropathy
Resistance training is an exercise against resistance designed to train the endurance and strength of muscle. To observe the effect of intervention of periodic resistance training on obese patients with type 2...
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Article
Open AccessImpaired synaptic function and hyperexcitability of the pyramidal neurons in the prefrontal cortex of autism-associated Shank3 mutant dogs
SHANK3 gene is a highly replicated causative gene for autism spectrum disorder and has been well characterized in multiple Shank3 mutant rodent models. When compared to rodents, domestic dogs are excellent animal...
