701 Result(s)
within
**n**g Dou
Computer Science
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Article
HyperTuner: a cross-layer multi-objective hyperparameter auto-tuning framework for data analytic services
Hyperparameters optimization (HPO) is vital for machine learning models. Besides model accuracy, other tuning intentions such as model training time and energy consumption are also worthy of attention from dat...
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Article
Saliency guided progressive fusion of infrared and polarization for military images with complex backgrounds \(^{\star }\)
Thermal targets stand out on infrared light images but infrared imaging is vulnerable to thermal noise, thus the edges of targets in infrared images are often blurred. On the other hand, visible polarized imag...
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Article
ADLNet: an adaptive network for arrhythmia classification based on deformable convolution and LSTM
Detecting arrhythmia through electrocardiogram (ECG) signals is a challenging task, and some methods based on deep neural networks have been proposed to assist in the diagnosis of arrhythmia. However, the perf...
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XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks
Content delivery networks (CDNs) play a pivotal role in the modern internet infrastructure by enabling efficient content delivery across diverse geographical regions. As an essential component of CDNs, the edg...
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Modified correlated total variation regularization for low-rank matrix recovery
Image data often suffer from evident degradation like corruptions and missing values due to the defects of image acquisition equipment. Low-Rank Matrix Recovery (LRMR) is an effective technique to address this...
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Categorization of ECG signals based on the dense recurrent network
Electrocardiograph (ECG) signals are an important source of data on human heart health and are widely used to detect different types of arrhythmias. With the development of deep learning, end-to-end ECG classi...
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An adversarial pedestrian detection model based on virtual fisheye image training
Fisheye camera is an important sensor in on-board systems and surveillance systems. However, the current fisheye image pedestrian detection still exists problems such as large distortions are difficult to dete...
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Position-category-aware attention network for next-item recommendation
The next-item recommendation can extract critical information from the historical sequence and predict the next actions of users. To better extract users’ interests, some sequential recommender methods propose...
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How to personalize and whether to personalize? Candidate documents decide
Personalized search plays an important role in satisfying users’ information needs owing to its ability to build user profiles based on users’ search histories. Most of the existing personalized methods built ...
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Article
Re-ID-leak: Membership Inference Attacks Against Person Re-identification
Person re-identification (Re-ID) has rapidly advanced due to its widespread real-world applications. It poses a significant risk of exposing private data from its training dataset. This paper aims to quantify ...
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Adaptive Discriminative Regularization for Visual Classification
How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class compactness by constructing po...
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Article
Balanced complement loss for long-tailed image classification
Long-tailed image classification is a significant research direction in the computer vision community, since many real-world image datasets exhibit an obvious long-tailed distribution. For a long-tailed datase...
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Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
While centralized servers pose a risk of being a single point of failure, decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Mer...
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Article
Open AccessCross-chain asset trading scheme for notaries based on edge cloud storage
Blockchain has penetrated in various fields, such as finance, healthcare, supply chain, and intelligent transportation, but the value exchange between different blockchains limits their expansion. Cross-chain ...
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Article
Robust conjugate ambiguity functions and application for strictly noncircular signals in correlated impulsive noise
The assumption of independent and identically distributed noise is often used in basic research, but the correlation between two additive noises cannot be ignored. Based on the characteristic of noncircular si...
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Open AccessAccurate and fast congestion feedback in MEC-enabled RDMA datacenters
Mobile edge computing (MEC) is a novel computing paradigm that pushes computation and storage resources to the edge of the network. The interconnection of edge servers forms small-scale data centers, enabling ...
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Open AccessEdge intelligence empowered delivery route planning for handling changes in uncertain supply chain environment
Traditional delivery route planning faces challenges in reducing logistics costs and improving customer satisfaction with growing customer demand and complex road traffic, especially in uncertain supply chain ...
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Article
Adaptive fitness enhancement model: Improving exercise feedback and outcomes through tailored independent physical education plan
Intelligent technologies have great potential for advancing physical education (PE), thus finding an appropriate independent PE plan (IPEP) is a key step in improving undergraduates’ physical fitness (PF) leve...
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Article
DA-ResNet: dual-stream ResNet with attention mechanism for classroom video summary
It is important to generate both diverse and representative video summary for massive videos. In this paper, a convolution neural network based on dual-stream attention mechanism(DA-ResNet) is designed to obta...
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Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grou** levels in YHGSM
In the semi-Lagrangian interpolation scheme of Yin-he Global Spectral model (YHGSM), communication needs to be performed before interpolation, resulting in significant communication overhead. To solve this pro...
