13,158 Result(s)
within
Fu** Lin
Computer Science
English
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Article
A novel defect detection method for color printing fabrics based on attention mechanism and space-to-depth transformation
Defect detection of color printing fabrics is a challenging branch of the textile industry. However, due to the issues of multi-scale defects and information loss of tiny objects, the defect accuracy of the ex...
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Article
CMEFS: chaotic map**-based mayfly optimization with fuzzy entropy for feature selection
Swarm intelligence algorithms availably settle the issue of feature selection for classification, whereas the Mayfly Optimization Algorithm (MOA) proposed in recent years has the superiority of high precision,...
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Article
Transferable map** shift network for unsupervised domain adaptation using in vibration signal fault diagnosis under variable conditions
Unsupervised domain adaptation as one of the popular techniques of deep transfer learning used to tackle the model performance suffers the domain gap between the source and target data, and it is recently deve...
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Article
A shrinkage adaptive filtering algorithm with graph filter models
In this study, we focus on an adaptive filtering algorithm that utilizes variable step-size and incorporates graph filter models within the realm of graph signal processing. The algorithm optimizes the step-si...
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Article
GCT-YOLOv5: a lightweight and efficient object detection model of real-time side-scan sonar image
Due to the high imaging resolution and large detection area, side-scan sonar (SSS) has a wide range of applications in underwater detection, such as shipwreck and wrecked aircraft search and rescue. However, l...
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Article
Open AccessOmni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray ima...
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Article
Open AccessRecent advances in 3D Gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) that represent a 3D scene wit...
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Article
Open AccessLocally sparse and robust partial least squares in scalar-on-function regression
We present a novel approach for estimating a scalar-on-function regression model, leveraging a functional partial least squares methodology. Our proposed method involves computing the functional partial least ...
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Article
Analyzing elastic half-spaces with cavities under wave loads using an RK dynamic infinite meshfree method
This study introduces a novel dynamic infinite meshfree method, termed RK-DIMM (reproducing kernel dynamic infinite meshfree method), which is specifically developed for analyzing elastic half-spaces with cavi...
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Article
Multi-layered access control based auto tuning relational key implications in enterprise-level multi-tenancy
This article discusses the importance of cloud-based multi-tenancy in private–public-private secure cloud environments, which is achieved through the isolation of end-user data and resources into tenants to en...
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Article
A lightweight attention-based network for image dehazing
In current convolution-based image dehazing networks, increasing the depth and width of convolutional layers is a common strategy to improve network performance. However, this approach significantly increases ...
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Article
Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics
Multi-Exposure Fusion (MEF) technique aims to fuse multiple images taken from the same scene at different exposure levels into an image with more details. Although more and more MEF algorithms have been develo...
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Article
DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of contemporary society have placed a significant burden on pow...
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Article
Arbitrary style transfer system with split-and-transform scheme
For the subject of arbitrary image style transfer, there have been some proposed architectures that directly compute the transformation matrix of the whitening and coloring transformation (WCT) to obtain more ...
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Article
A depression detection model based on multimodal graph neural network
Depression is a prevalent mental illness, especially major depression, which has a negative impact on individuals and society. In clinical practice, doctors diagnose depression primarily based on self-reported...
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Article
Improved grid refine segmentation for 3D point cloud in video-based point cloud compression (V-PCC)
For an immersive visual communication experience, it is essential to enable technologies that can capture and transmit point clouds capable of accurately depicting a photorealistic impression. The MPEG standar...
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Article
Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
RNA genomes from coronavirus have a length as long as 32 kilobases, and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused the outbreak of coronavirus disease 2019 (COVID-19) pandemic...
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Article
Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification
In general, it is a worth challenging problem to build a robust classifier for data sets with noises or outliers. Establishing a robust classifier is a more difficult problem for datasets with asymmetric noise...
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Article
Multi-scale saliency features fusion model for person re-identification
Person re-identification mainly uses computer vision technology to determine whether there are specific pedestrians in the image or video. Belong to cross-device retrieval images, due to the changing style of ...
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Article
Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark
Before deploying a monocular depth estimation (MDE) model in real-world applications such as autonomous driving, it is critical to understand its generalization and robustness. Although the generalization of M...
