Papers Edge-computing
“Edge-computing” 태그가 달린 논문 1,279편 · 필터 해제
MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units
Recurrent neural networks (RNNs) have been a long-standing candidate for processing of temporal sequence data, especially in memory-constrained systems that one may find in embedded edge computing environments. Recent ad…
Edge-computingBenchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems
Edge computing has emerged as a pivotal technology, offering significant advantages such as low latency, enhanced data security, and reduced reliance on centralized cloud infrastructure. These benefits are crucial for ap…
BenchmarkingComputational EfficiencyCPUEdge-computingComparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices
This paper presents a comprehensive evaluation of lightweight deep learning models for image classification, emphasizing their suitability for deployment in resource-constrained environments such as low-memory devices. F…
Computational EfficiencyData AugmentationEdge-computingimage-classification+2Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach
The integration of simultaneous wireless information and power transfer (SWIPT) technology in 6G Internet of Things (IoT) networks faces significant challenges in remote areas and disaster scenarios where ground infrastr…
Deep Reinforcement LearningEdge-computingenergy managementManagementCompact Recurrent Transformer with Persistent Memory
The Transformer architecture has shown significant success in many language processing and visual tasks. However, the method faces challenges in efficiently scaling to long sequences because the self-attention computatio…
Edge-computingSmart Environmental Monitoring of Marine Pollution using Edge AI
Oil spill incidents pose severe threats to marine ecosystems and coastal environments, necessitating rapid detection and monitoring capabilities to mitigate environmental damage. In this paper, we demonstrate how artific…
Edge-computingModel CompressionTowards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design
The combination of Integrated Sensing and Communication (ISAC) and Mobile Edge Computing (MEC) enables devices to simultaneously sense the environment and offload data to the base stations (BS) for intelligent processing…
Collaborative InferenceEdge-computingIntegrated sensing and communicationISACIntelligent Task Offloading in VANETs: A Hybrid AI-Driven Approach for Low-Latency and Energy Efficiency
Vehicular Ad-hoc Networks (VANETs) are integral to intelligent transportation systems, enabling vehicles to offload computational tasks to nearby roadside units (RSUs) and mobile edge computing (MEC) servers for real-tim…
Decision MakingEdge-computingreinforcement-learningReinforcement LearningZero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization
The Internet of Vehicles (IoV) is transforming transportation by enhancing connectivity and enabling autonomous driving. However, this increased interconnectivity introduces new security vulnerabilities. Bot malware and …
Autonomous DrivingAutonomous VehiclesEdge-computingIntrusion DetectionSwitch-Based Multi-Part Neural Network
This paper introduces decentralized and modular neural network framework designed to enhance the scalability, interpretability, and performance of artificial intelligence (AI) systems. At the heart of this framework is a…
Edge-computingFederated LearningPrivacy PreservingFull-Duplex ISCC for Low-Altitude Networks: Resource Allocation and Coordinated Beamforming
This paper investigates an integrated sensing, communication, and computing system deployed over low-altitude networks for enabling applications within the low-altitude economy. In the considered system, a full-duplex en…
Edge-computingEdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy
The field of keypoint extraction, which is essential for vision applications like Structure from Motion (SfM) and Simultaneous Localization and Mapping (SLAM), has evolved from relying on handcrafted methods to leveragin…
Edge-computingKeypoint DetectionSimultaneous Localization and MappingBlockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security
Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber threats. Existing intrusion detection and p…
Anomaly DetectionCPUEdge-computingIntrusion DetectionCOBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
Transformer-based models have demonstrated superior performance in various fields, including natural language processing and computer vision. However, their enormous model size and high demands in computation, memory, an…
Edge-computingA Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation
In recent years, non-intrusive load monitoring (NILM) technology has attracted much attention in the related research field by virtue of its unique advantage of utilizing single meter data to achieve accurate decompositi…
Dynamic Time WarpingEdge-computingNon-Intrusive Load MonitoringHadamard product in deep learning: Introduction, Advances and Challenges
While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product. Despite its widespread implementa…
Computational EfficiencyDeep LearningEdge-computingImage Inpainting+2Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
Reservoir computing (RC) is attracting attention as a machine-learning technique for edge computing. In time-series classification tasks, the number of features obtained using a reservoir depends on the length of the inp…
Edge-computingTime SeriesTime Series ClassificationScalable Multi-task Edge Sensing via Task-oriented Joint Information Gathering and Broadcast
The recent advance of edge computing technology enables significant sensing performance improvement of Internet of Things (IoT) networks. In particular, an edge server (ES) is responsible for gathering sensing data from …
Edge-computingReal-time Object and Event Detection Service through Computer Vision and Edge Computing
The World Health Organization suggests that road traffic crashes cost approximately 518 billion dollars globally each year, which accounts for 3% of the gross domestic product for most countries. Most fatal road accident…
Edge-computingEvent DetectionLightweight Trustworthy Distributed Clustering
Ensuring data trustworthiness within individual edge nodes while facilitating collaborative data processing poses a critical challenge in edge computing systems (ECS), particularly in resource-constrained scenarios such …
ClusteringEdge-computing