88 Result(s)
within
Article
**-Peng Li
Computer Science
Computer Science, general
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Article
A computation offloading strategy for multi-access edge computing based on DQUIC protocol
Computation offloading can efficiently expand edge resources and is widely used to perform computing-intensive and delay-sensitive tasks. The inability of existing offloading strategies to pay attention to bot...
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Perception data fusion-based computation offloading in cooperative vehicle infrastructure systems
With the rapid advancement of intelligent transportation systems, cooperative vehicle infrastructure systems emerge as a vital frontier for development. Real-time mutual fusion of perception data is a crucial ...
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SPD-YOLOv8: an small-size object detection model of UAV imagery in complex scene
Traditional camera sensors rely on human observation. However, in complex scenes, people often experience fatigue when observing objects of various sizes. Moreover, human cognitive abilities have inherent limi...
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Graph neural news recommendation based on multi-view representation learning
Accurate news representation is of crucial importance in personalized news recommendation. Most of existing news recommendation model lack comprehensiveness because they do not consider the higher-order struct...
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Secure symbol-level precoding for reconfigurable intelligent surface-aided cell-free networks
With the improvement in communication network density, inter-cell interference has become severe. Due to the blurring of boundaries, cell-free networks are considered as a solution. However, it faces some chal...
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MWformer: a novel low computational cost image restoration algorithm
The development of the Internet of Things has led to a surge in edge devices. The image detection algorithm, one of the commonly used algorithms in edge computing, is affected by environments such as weather, ...
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Transformer in reinforcement learning for decision-making: a survey
Reinforcement learning (RL) has become a dominant decision-making paradigm and has achieved notable success in many real-world applications. Notably, deep neural networks play a crucial role in unlocking RL’s ...
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A fault-tolerant scheduling algorithm that minimizes the number of replicas in heterogeneous service-oriented cloud computing systems
The service-oriented heterogeneous cloud computing system offers paid computing services through its powerful processors. However, task execution failures caused by processors can diminish application reliabil...
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Computing-aware network (CAN): a systematic design of computing and network convergence
网络资源的覆盖范围日益广泛, 算力资源也逐渐成为能够提供泛在计算服务的基础设施. 然而, 在广域网络, 底层网络和计算资源缺乏密切的研究或协同设计, 仍然存在计算服务调度缓慢、 数据分发不灵活、 数据传输效率低等问题. 本文提出算力感知网络(CAN)的系统架构设计, 其核心贡献在于引入感知**面来收集、 管理并综合计算和网络的信息. 这样, 感知**面、控制**面和数据**面组成一个闭环控制系统, 增**了整个系统的感知能力...
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AMEA-YOLO: a lightweight remote sensing vehicle detection algorithm based on attention mechanism and efficient architecture
Due to the large computational requirements of object detection algorithms, high-resolution remote sensing vehicle detection always involves numerous small objects, high level of background complexity, and cha...
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Dynamic context-driven progressive image inpainting with auxiliary generative units
Image inpainting aims to restore missing or damaged regions of an image with plausible visual content. Most existing methods always face challenges when dealing with large hole images, such as structural disto...
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Facial expression recognition based on local–global information reasoning and spatial distribution of landmark features
In the field of facial expression recognition (FER), two main trends point to the data-driven FER and feature-driven FER exist. The former focused on the data problems (e.g., sample imbalance and multimodal fu...
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SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Novel artificial intelligence (AI) technology has expedited various scientific research, e.g., cosmology, physics, and bioinformatics, inevitably becoming a significant category of workload on high-performance...
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Nacc-Guard: a lightweight DNN accelerator architecture for secure deep learning
Recent breakthroughs in artificial intelligence and deep neural networks (DNNs) have produced an explosive demand for computing platforms equipped with customized domain-specific accelerators. However, DNN acc...
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Spatial-guided informative semantic joint transformer for single-image deraining
Single-image deraining is of great significance for image recognition and analysis. However, the majority of current methods face challenges such as incomplete removal of tiny rain streaks, blurred restoration...
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Enhancing Storage Efficiency and Performance: A Survey of Data Partitioning Techniques
Data partitioning techniques are pivotal for optimal data placement across storage devices, thereby enhancing resource utilization and overall system throughput. However, the design of effective partition sche...
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Research on General-Purpose Brain-Inspired Computing Systems
Brain-inspired computing is a new technology that draws on the principles of brain science and is oriented to the efficient development of artificial general intelligence (AGI), and a brain-inspired computing ...
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An optimized resource scheduling algorithm based on GA and ACO algorithm in fog computing
With the rise of Internet of Things (IoT) technology, fog computing has emerged as a promising solution for low-latency and real-time applications. As a highly virtualized platform, fog computing provides comp...
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SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing
Semantic relatedness is one of the most significant aspects of natural language processing. It has been identified as a critical technology for develo** intelligent systems like Siri, Microsoft Ice, Cortana,...
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Dual graph neural network for overlap** community detection
Community detection has long been designed to find communities with different structures in various networks. It is now widely believed that these communities often overlap with each other. However, due to the...
