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edge computing

GeneTech 知识引擎共收录 148 篇相关科研实体，横跨 20 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

年度产出趋势

代表性文献（按质量分排序，前 60 条）

• QID-NPI: Edge-Native Cognitive Hypervisors for Deterministic Context Injection in Zero-Trust SCADA Environments
  2026 · AI Agent 生态 · Integrating Large Language Models (LLMs) into Operational Technology (OT) environments presents two fundamental barriers: strict data sovereignty requirements imposed by zero-trust industrial networks, and systematic deg…
• QID-NPI: Edge-Native Cognitive Hypervisors for Deterministic Context Injection in Zero-Trust SCADA Environments
  2026 · AI Agent 生态 · Integrating Large Language Models (LLMs) into Operational Technology (OT) environments presents two fundamental barriers: strict data sovereignty requirements imposed by zero-trust industrial networks, and systematic deg…
• UAV-Based Crop Disease Detection Using Hybrid AI and IoT Integration
  2026 · 智慧农业 · Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial …
• UAV-Based Crop Disease Detection Using Hybrid AI and IoT Integration
  2026 · 智慧农业 · Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial …
• Explainable and Adaptive Intrusion Detection in Digital Twin Environments
  2026 · 数字孪生 · The rapid proliferation of Internet of Things (IoT) technologies has transformed the computing landscape, placing unprecedented demands on traditional cloud-centric architectures.The massive volume of distributed data, c…
• REAL-TIME EDGE INTELLIGENCE FOR INDUSTRIAL AUTOMATION
  2026 · 边缘智能 · Industrial automation is undergoing a significant transformation with the growing adoption of intelligent and connected systems. However, traditional cloud-centric architectures often struggle to meet the strict latency,…
• REAL-TIME EDGE INTELLIGENCE FOR INDUSTRIAL AUTOMATION
  2026 · 边缘智能 · Industrial automation is undergoing a significant transformation with the growing adoption of intelligent and connected systems. However, traditional cloud-centric architectures often struggle to meet the strict latency,…
• SECURE AND INTELLIGENT IOT SYSTEMS: ARCHITECTURES, THREATS, AND DEFENSE
  2026 · 类脑计算 · This book brings together advanced research that explores the design, security, and sustainability of intelligent and connected computing systems. The chapters collectively reflect the rapid evolution of embedded intelli…
• SECURE AND INTELLIGENT IOT SYSTEMS: ARCHITECTURES, THREATS, AND DEFENSE
  2026 · 类脑计算 · This book brings together advanced research that explores the design, security, and sustainability of intelligent and connected computing systems. The chapters collectively reflect the rapid evolution of embedded intelli…
• Federated learning for privacy-preserving, secure and scalable data intelligence in hybrid cloud systems
  2026 · 隐私计算与数据要素 · The convergence of federated learning and hybrid cloud computing represents a transformative paradigm for privacy-preserving data intelligence. This review examines federated learning implementations in hybrid cloud envi…
• Federated learning for privacy-preserving, secure and scalable data intelligence in hybrid cloud systems
  2026 · 隐私计算与数据要素 · The convergence of federated learning and hybrid cloud computing represents a transformative paradigm for privacy-preserving data intelligence. This review examines federated learning implementations in hybrid cloud envi…
• Edge AI: A Survey of Next-Generation Waste Classification and Routing Architectures
  2026 · 隐私计算与数据要素 · The recent advances in edge computing and computer vision are completely transforming the way cities handle solid waste. In this review, close attention will be paid to the way smart city systems have changed to separate…
• Edge AI: A Survey of Next-Generation Waste Classification and Routing Architectures
  2026 · 隐私计算与数据要素 · The recent advances in edge computing and computer vision are completely transforming the way cities handle solid waste. In this review, close attention will be paid to the way smart city systems have changed to separate…
• Edge AI: A Survey of Next-Generation Waste Classification and Routing Architectures
  2026 · 隐私计算与数据要素 · The recent advances in edge computing and computer vision are completely transforming the way cities handle solid waste. In this review, close attention will be paid to the way smart city systems have changed to separate…
• Edge AI: A Survey of Next-Generation Waste Classification a nd R outing Architectures
  2026 · 隐私计算与数据要素 · The recent advances in edge computing and computer vision are completely transforming the way cities handle solid waste. In this review, close attention will be paid to the way smart city systems have changed to separate…
• AI-DRIVEN EDGE COMPUTING IN 6G NETWORKS
  2026 · 6G 与卫星互联网 · The emergence of sixth-generation (6G) wireless networks is expected to support highly dynamic, data-intensive, and latency-sensitive applications such as autonomous systems, immersive communication, and large-scale Inte…
• AI-DRIVEN EDGE COMPUTING IN 6G NETWORKS
  2026 · 6G 与卫星互联网 · The emergence of sixth-generation (6G) wireless networks is expected to support highly dynamic, data-intensive, and latency-sensitive applications such as autonomous systems, immersive communication, and large-scale Inte…
• Energy Requirements of Sixth Generation (6G) Communication Networks: A Comprehensive Review of Emerging Technologies and Sustainable Solutions
  2026 · 6G 与卫星互联网 · This review paper examines the energy requirements of Sixth Generation (6G) communication networks and the emerging technologies expected to shape future wireless systems. The paper reviews Artificial Intelligence (AI), …
• Energy Requirements of Sixth Generation (6G) Communication Networks: A Comprehensive Review of Emerging Technologies and Sustainable Solutions
  2026 · 6G 与卫星互联网 · This review paper examines the energy requirements of Sixth Generation (6G) communication networks and the emerging technologies expected to shape future wireless systems. The paper reviews Artificial Intelligence (AI), …
• Embedded Artificial Neural Networks for Energy-Restricted Edge-Computing Applications
  2026 · 半导体与先进封装 · The development of energy-efficient and fast machine learning methods plays an increasingly important role in experimental physics, where data analysis and control tasks often need to operate under strict resource constr…
• Seamless optical cloud computing across edge-metro network for generative AI
  2025 · AI 安全与对齐 · Abstract The rapid advancement of generative artificial intelligence (AI) in recent years has profoundly reshaped modern lifestyles, necessitating a revolutionary architecture to support the growing demands for computati…
• A comprehensive review of AI-native 6G: integrating semantic communications, reconfigurable intelligent surfaces, and edge intelligence for next-generation connectivity
  2025 · AI 安全与对齐 · This review explores the evolving vision of sixth-generation (6G) networks as a paradigm shift from conventional data-centric communication to intelligence-native architectures, where meaning, context, and adaptive decis…
• Edge Computing-Enabled Smart Agriculture: Technical Architectures, Practical Evolution, and Bottleneck Breakthroughs
  2025 · 生物计算 · As the global digital transformation of agriculture accelerates, the widespread deployment of farming equipment has triggered an exponential surge in agricultural production data. Consequently, traditional cloud computin…
• Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things
  2025 · 生物计算 · Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing…
• An Energy-Efficient Intrusion Detection Offloading Based on DNN for Edge Computing
  2025 · 生物计算 · To address the computational limitations associated with implementing Deep Neural Network (DNN)–based intrusion detection on resource-constrained devices, this work proposes an energy-efficient edge architecture that int…
• Emerging Applications of Artificial Intelligence in Edge Computing: A Comprehensive Review
  2025 · 医疗人工智能 · Edge computing, coupled with Artificial Intelligence (AI), represents a paradigm shift in data processing, enabling real-time analytics and decision-making at the source. By distributing computation closer to the data or…
• Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
  2025 · 仿生智能 · The timely and accurate detection of brain tumors is crucial for effective medical intervention, especially in resource-constrained settings. This study proposes a lightweight and efficient RetinaNet variant tailored for…
• Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things
  2025 · 仿生智能 · Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing…
• Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directions
  2025 · 数字孪生 · This paper provides the complete details of current challenges and solutions in the cybersecurity of cyber-physical systems (CPS) within the context of the IIoT and its integration with edge computing (IIoT-edge computin…
• The Global Importance of Machine Learning-Based Wearables and Digital Twins for Rehabilitation: A Review of Data Collection, Security, Edge Intelligence, Federated Learning, and Generative AI
  2025 · 数字孪生 · The convergence of wearable technologies and digital twin (DT) systems is transforming rehabilitation engineering, enabling continuous monitoring, personalized therapeutic interventions, and predictive modeling of patien…
• Secure blockchain integrated deep learning framework for federated risk-adaptive and privacy-preserving IoT edge intelligence sets
  2025 · 隐私计算与数据要素 · An enormous demand for a secure, scalable, intelligent edge computing framework has emerged for the exponentially increasing number of Internet of Things (IoT) devices for any substrate of modern digital infrastructure. …
• Federated Multi-Agent DRL for Task Offloading in Vehicular Edge Computing
  2025 · 隐私计算与数据要素 · With the expansion of vehicle-to-everything (V2X) networks and the rising demand for intelligent services, vehicle edge computing encounters heightened requirements for more efficient task offloading. This study proposes…
• Federated Learning with Adversarial Optimisation for Secure and Efficient 5G Edge Computing Networks
  2025 · 隐私计算与数据要素 · With the evolution of 5G edge computing networks, privacy-aware applications are gaining significant attention due to their decentralised processing capabilities. However, these networks face substantial challenges to en…
• Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things
  2025 · 量子计算 · Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing…
• Architectural enhancements, challenges and future trends in real-time IoT applications over 5G networks
  2025 · 6G 与卫星互联网 · The introduction of real-time Internet of Things (IoT) applications has introduced unprecedented demands on communication systems, which require ultra-low latency, high reliability, and massive device connectivity. Fifth…
• Architectural enhancements, challenges and future trends in real-time IoT applications over 5G networks
  2025 · 6G 与卫星互联网 · The introduction of real-time Internet of Things (IoT) applications has introduced unprecedented demands on communication systems, which require ultra-low latency, high reliability, and massive device connectivity. Fifth…
• Real-Time Service Migration in Edge Networks: A Survey
  2025 · 6G 与卫星互联网 · With the rapid proliferation of Internet of Things (IoT) devices and mobile applications and the growing demand for low-latency services, edge computing has emerged as a transformative paradigm that brings computation an…
• AI‐EDGE: An NSF AI institute for future edge networks and distributed intelligence
  2024 · AI 安全与对齐 · Abstract This paper highlights the overall endeavors of the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI‐EDGE) to create a research, education, knowledge transfer, and workforce development …
• Artificial intelligence and edge computing for machine maintenance-review
  2024 · AI 安全与对齐 · Abstract Industrial internet of things (IIoT) has ushered us into a world where most machine parts are now embedded with sensors that collect data. This huge data reservoir has enhanced data-driven diagnostics and progno…
• Adaptive approximate computing in edge AI and IoT applications: A review
  2024 · 生物计算 · Recent advancements in hardware and software systems have been driven by the deployment of emerging smart health and mobility applications. These developments have modernized the traditional approaches by replacing conve…
• In-memory and in-sensor reservoir computing with memristive devices
  2024 · 生物计算 · Despite the significant progress made in deep learning on digital computers, their energy consumption and computational speed still fall short of meeting the standards for brain-like computing. To address these limitatio…
• Coupled Ferroelectric‐Photonic Memory in a Retinomorphic Hardware for In‐Sensor Computing
  2024 · 生物计算 · Abstract The development of all‐in‐one devices for artificial visual systems offers an attractive solution in terms of energy efficiency and real‐time processing speed. In recent years, the proliferation of smart sensors…
• Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
  2024 · 生物计算 · Abstract The recent advancements in automated lung cancer diagnosis through the application of Convolutional Neural Networks (CNN) on Computed Tomography (CT) scans have marked a significant leap in medical imaging and d…
• A Lightweight Model of Underwater Object Detection Based on YOLOv8n for an Edge Computing Platform
  2024 · 生物计算 · The visual signal object detection technology of deep learning, as a high-precision perception technology, can be adopted in various image analysis applications, and it has important application prospects in the utilizat…
• Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions
  2024 · 医疗人工智能 · Electric vehicles are widely adopted globally as a sustainable mode of transportation. With the increased availability of onboard computation and communication capabilities, vehicles are moving towards automated driving …
• Application Scenarios of Digital Twins for Smart Crop Farming through Cloud–Fog–Edge Infrastructure
  2024 · 数字孪生 · In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation…
• Maximizing throughput in NOMA-enable industrial IoT networks using digital twin and reinforcement learning
  2024 · 数字孪生 · INTRODUCTION: Increased deployment of heterogeneous and complex Industrial Internet of Things (IIoT) applications such as predictive maintenance and asset tracking places a substantial strain on the limited computational…
• Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
  2024 · 数字孪生 · With the increasing demand for multiple applications on internet of vehicles. It requires vehicles to carry out multiple computing tasks in real time. However, due to the insufficient computing capability of vehicles the…
• Mobility-Aware Dependent Task Offloading in Edge Computing: A Digital Twin-Assisted Reinforcement Learning Approach
  2024 · 数字孪生 · Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge nodes to collaborate and execute tasks from end devices. Task offloading is a fundamental problem in CEC that decides when and where t…
• IoT-based data mining framework for stability assessment of the laser-directed energy deposition process
  2024 · 数字孪生 · Additive manufacturing processes are prone to production errors. Specifically, the unique physical conditions of Laser-Directed Energy Deposition (DED-L) lead to unexpected process anomalies resulting in subpar part qual…
• Federated Learning-Based Intrusion Detection Framework for Internet of Things and Edge Computing Backed Critical Infrastructure
  2024 · 隐私计算与数据要素 · Modern Critical Infrastructure (CI) sectors including Smart Girds operate on the Internet of Things and edge computing paradigm. With the enormous growth of these sectors, there are emerging and escalating cyber threats.…
• Edge Computing in Healthcare: Innovations, Opportunities, and Challenges
  2024 · 量子计算 · Edge computing promising a vision of processing data close to its generation point, reducing latency and bandwidth usage compared with traditional cloud computing architectures, has attracted significant attention lately…
• Computation Offloading and Resource Allocation Optimization for Mobile Edge Computing-Aided UAV-RIS Communications
  2024 · 6G 与卫星互联网 · The concept of Mobile Edge Computing (MEC) has been recently highlighted as a key enabling technology for the deployment of sixth-generation (6G) wireless network services. On the other hand, the possibility of combining…
• Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
  2023 · AI 安全与对齐 · Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment of…
• At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives
  2023 · 医疗人工智能 · Given its advantages in low latency, fast response, context-aware services, mobility, and privacy preservation, edge computing has emerged as the key support for intelligent applications and 5G/6G Internet of things (IoT…
• Digital twin deployment for smart agriculture in Cloud-Fog-Edge infrastructure
  2023 · 数字孪生 · The rapid adoption of Cloud, Fog, and Edge computing paradigms, along with Digital Twin (DT) technology, is being observed across numerous domains.Smart Agriculture is one such domain, where diverse requirements exist fo…
• Deep Reinforcement Learning for Containerized Edge Intelligence Inference Request Processing in IoT Edge Computing
  2023 · 边缘智能 · Edge intelligence (EI) refers to a set of connected systems and devices for artificial intelligence (AI) data collected and learned near the data collection site. The EI model inference phase has been improved through ed…
• Semantic Data Sourcing for 6G Edge Intelligence
  2023 · 边缘智能 · As a new function of 6G networks, edge intelligence refers to the ubiquitous deployment of machine learning and artificial intelligence (AI) algorithms at the network edge to empower many emerging applications ranging fr…
• CNN Partitioning and Offloading for Vehicular Edge Networks in Web3
  2023 · 边缘智能 · Web3, an emerging blockchain-based decentralized network, grants users ownership and enhances the collaboration among devices under monitoring. Benefiting from decentralization and in-memory computing, vehicular edge net…
• Edge Computing and the Future of Cloud Computing: A Survey of Industry Perspectives and Predictions
  2023 · 量子计算 · Edge computing and cloud computing are rapidly evolving technologies that have the potential to significantly impact the future of information technology and various industries. This survey paper aims to provide an overv…

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