8,442 Result(s)
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Computer Science
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Article
Attention-driven residual-dense network for no-reference image quality assessment
With the rapid development of deep learning, convolutional neural networks have been applied to no-reference image quality assessment (NR-IQA), but most methods focus on the design of complex networks, which n...
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PMENet: a parallel UNet based on the fusion of multiple attention mechanisms for road crack segmentation
The presence of road cracks significantly impacts both traffic safety and road maintenance. Therefore, accurate detection of road cracks plays a crucial role in road maintenance and management. This study focu...
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Article
Multi-party codebook distribution strategy based on secret sharing
The paper addresses the issue of secure distribution of codebooks in the field of information security, particularly in the domain of covert communication. We propose a codebook distribution technique based on...
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Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning
Nowadays, large-scale individual trajectories can be collected by various location-based social network services, which enables us to better understand human mobility patterns. However, the trajectory data usu...
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MSF-YOLO: A multi-scale features fusion-based method for small object detection
Small object detection has been widely used in real-world applications, such as small object detection from the perspective of UAVs and industrial inspection to locate small defects visible on the surface of m...
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Article
Hypergraph network embedding for community detection
Using attribute graphs for node embedding to detect community structure has become a popular research topic. However, most of the existing algorithms mainly focus on the network structure and node features, wh...
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Article
Open AccessSplit-bucket partition (SBP): a novel execution model for top-K and selection algorithms on GPUs
Top-K and selection operations are critical in data processing and analysis, and their efficient implementation on GPUs is increasingly important due to the growing demands of data analysis. Existing methods, ...
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Iterative shrinkage thresholding-based anti-multi-noise compression perceptual image reconstruction network
Telemedicine imaging services usually require wireless transmission of a large number of medical images MRI/CT, etc., in the network, which are subject to noise interference and block effect during transmissio...
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Article
DynamiSE: dynamic signed network embedding for link prediction
In real-world scenarios, dynamic signed networks are ubiquitous where edges have positive and negative types and evolve over time. Graph neural networks have achieved impressive performance in node representat...
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Multi-modal remote sensing image fusion method guided by local extremum maps-guided image filter
This paper proposes a multi-modal fusion algorithm for image filtering based on the guidance of local extrema maps. The image is subjected to a smoothing process using a locally extremal maps-guided image filt...
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Article
Open AccessBlock-wise dynamic mixed-precision for sparse matrix-vector multiplication on GPUs
Sparse matrix-vector multiplication (SpMV) plays a critical role in a wide range of linear algebra computations, particularly in scientific and engineering disciplines. However, the irregular memory access pat...
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Article
Efficient secure multi-party computation for proof of custody in Ethereum sharding
Ethereum, one of the most prominent and widely deployed blockchain systems, is undergoing a significant upgrade that adopts sharding for capacity expansion and secure multi-party computation (MPC) to enable di...
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Article
Multi-scale constraints and perturbation consistency for semi-supervised sonar image segmentation
Emerging semi-supervised learning methods have enabled great progress in segmentation tasks. However, popular semi-supervised segmentation models use constraints that are not strict. In this paper, we propose ...
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Article
Saver: a proactive microservice resource scheduling strategy based on STGCN
As container technology and microservices mature, applications increasingly shift to microservices and cloud deployment. Growing microservices scale complicates resource scheduling. Traditional methods, based ...
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Article
Multi-threshold image segmentation research based on improved enhanced arithmetic optimization algorithm
Aiming at the shortcomings of arithmetic optimization algorithm (AOA), which has low efficiency and is prone to fall into local optimal solutions, this paper proposes an improved AOA, called IAOA, and applies ...
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Article
CSMB-VSS: video scene segmentation with cosine similarity matrix
Video scene segmentation is a crucial step in video structural analysis, which divides a long video into discrete scenes, each consisting of a series of semantically coherent shots. The purpose of video scene ...
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Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization
Vertical Federated Learning (VFL) is gaining increasing attention due to its ability to enable multiple parties to collaboratively train a privacy-preserving model using vertically partitioned data. Recent res...
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Article
YOLOv5-S-G-B: a lightweight intelligent detection model for cardboard surface defects
In the manufacturing process of cardboard boxes, rapid and accurate surface defect detection is crucial for ensuring quality and preventing resource waste. However, current target detection models have large p...
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Article
DMFNet: deep matrix factorization network for image compressed sensing
Due to its outstanding performance in image processing, deep learning (DL) is successfully utilized in compressed sensing (CS) reconstruction. However, most existing DL-based reconstruction methods capture loc...
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Article
An Empirical Study on Automated Test Generation Tools for Java: Effectiveness and Challenges
Automated test generation tools enable test automation and further alleviate the low efficiency caused by writing hand-crafted test cases. However, existing automated tools are not mature enough to be widely u...
