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Perspectives of Soft Computing in Multiscale Modeling for Fluid Flow Systems
The modeling of a system containing many models with different scales is known as multiscale modeling. If in that system models are governed by many...
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Machine Learning for Multiscale Video Coding
AbstractThe research concerns the use of machine learning algorithms for multiscale coding of digital video sequences. Based on machine learning, the...
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AMSFANet: attention-based multiscale small face aware restoration method
Deep learning has achieved remarkable performance in various fields, including face recognition. However, recognizing small-sized face images remains...
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Multiscale observation in wide-spatial radar surveillance based on coherent FDA design
Wide-spatial radar surveillance missions are challenging tasks, requiring an increased power budget and agility in transmission aimed at extracting...
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Single image defogging with a dual multiscale neural network model
Images captured by image acquisition systems in scenes with fog or haze contain missing details, dull color, and reduced brightness. To address this...
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MSGCN: a multiscale spatio graph convolution network for 3D point clouds
We propose a multiscale spatio graph neural network (MSGCN) for 3D point cloud. The core of MSGCN is a multiscale spatio graph(MSG) that explicitly...
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An efficient multiscale topology optimization method for frequency response minimization of cellular composites
It is vital to control the vibration of cellular composites under harmonic excitation in engineering. Due to numerous design variables and expensive...
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Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
Mechanical equipment usually operates in noisy and variable load environments, which presents serious challenges for existing intelligent diagnostic...
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Multiscale Kiwifruit Detection from Digital Images
In this paper, we propose an improved YOLOv8-based Kiwifruit detection method using Swin Transformer, aiming to address challenges posed by...
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Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition
Photoplethysmography (PPG) biometrics have received considerable attention. Although deep learning has achieved good performance for PPG biometrics,...
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Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification
Automatic segmentation and classification of brain tumors are of great importance to clinical treatment. However, they are challenging due to the...
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Learning multiscale pipeline gated fusion for underwater image enhancement
Evidence suggests that vision is among the most critical factors in marine information exploration. Instead, underwater images are generally poor...
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Portable multiscale form measurement technique for structured specular surfaces based on phase measuring deflectometry
Propelled by the rapidly growing demand for function incorporation and performance improvement, various specular components with complex structured...
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Advanced Image Processing Techniques for Ultrasound Images using Multiscale Self Attention CNN
The aim of this research is to enhance the quality of prenatal ultrasound images by addressing common artifacts such as missing or damaged areas,...
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A feature-enhanced multiscale attention approach for automated hand bone segmentation
In the medical field, comprehensive analysis of bone structures is paramount for assessing skeletal health and diagnosing conditions. X-ray imaging...
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Moving mesh method with variational multiscale finite element method for convection–diffusion–reaction equations
The solutions tend to have large gradients, discontinuities, or sharp layers for convection-dominated convection–diffusion–reaction equations. Many...
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A multiscale stabilized physics informed neural networks with weakly imposed boundary conditions transfer learning method for modeling advection dominated flow
Physics informed neural network (PINN) frameworks have been developed as a powerful technique for solving partial differential equations (PDEs) with...
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An improved hybrid multiscale fusion algorithm based on NSST for infrared–visible images
The key to improving the fusion quality of infrared–visible images is effectively extracting and fusing complementary information such as bright–dark...
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GRFS-YOLOv8: an efficient traffic sign detection algorithm based on multiscale features and enhanced path aggregation
Traffic sign detection is a crucial element of advanced driver assistance systems (ADAS) for environmental perception. However, challenges persist in...
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A new open-source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers
This article presents M u MF i M, an open-source application for multiscale modeling of fibrous materials on massively parallel computers. M u MF i M uses...
