179 Result(s)
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Article
**-Peng Li
Computer Science
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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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A Novel Memristors Based Echo State Network Model Inspired by the Brain’s Uni-hemispheric Slow-Wave Sleep Characteristics
Memristors serve as electronic components with the ability to store charge and demonstrate resistive states, which are similar to the synaptic connections between biological neurons. For this reason, they have...
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Real-time detection algorithm for non-motorized vehicles based on D-YOLO model
In complex traffic scenarios, it is crucial to develop a rapid and precise real-time detection system for non-motorized vehicles to ensure safe driving. D-YOLO is a lightweight real-time detection technique fo...
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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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Open AccessA survey on hybrid transactional and analytical processing
To provide applications with the ability to analyze fresh data and eliminate the time-consuming ETL workflow, hybrid transactional and analytical (HTAP) systems have been developed to serve online transaction ...
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Open AccessEfficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework
Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services. And cloud monitoring plays an integral role in protecting infrastructures in the clo...
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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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Open AccessTwo-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...
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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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Keyframe-based RGB-D dense visual SLAM fused semantic cues in dynamic scenes
The robustness of dense visual SLAM is still a challenging problem in dynamic environments. In this paper, we propose a novel keyframe-based dense visual SLAM to handle a highly dynamic environment by using an...
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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...
