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edge computing

2,851 papers

#reinforcement learning Open access Oct 2026

Edge-Cloud Intelligent Monitoring and Maintenance for Smart Production Lines

INTRODUCTION: Smart manufacturing production lines integrate Computer Numerical Control (CNC) machines, industrial robots, motor drives, conveying units, sensors, and Programmable Logic Controller (PLC) workstations. Their operation and maintenance (O&M) requires low-latency recognition of coupled vibration, temperatur...

Xinwen Shan, Jiaxin Lu, Jiajia Zhu et al. · 0 citations
#reinforcement learning Open access Oct 2026

A Privacy-Preserving Decentralized Partition-Autonomous Planning Method for Interconnected Multi-Microgrid Distribution Systems Driven by Federated Proximal Policy Optimization

INTRODUCTION: The rapid integration of distributed renewable energy and ICT infrastructure has made interconnected multi-microgrid distribution systems essential for low-carbon power grids, yet centralized coordination exposes sensitive operational data to privacy risks, including eavesdropping and membership inference...

Yao Duan, Ran Cheng, Chong Gao · 0 citations
#reinforcement learning Open access Oct 2026

Reinforcement Learning-Based Resource Allocation and Request Routing Optimization Algorithm for Edge AIGC Services

With the explosive growth of artificial intelligence generated content (AIGC) applications, deploying lightweight tiny neural networks (TNNs) at the edge to mitigate the high latency and cost of large cloud models has become an important trend in mobile computing. However, resource heterogeneity in edge environments, t...

Qian-Yu Cao, Chang Xu, Li Zhang et al. · 0 citations

Artificial Intelligence-Driven Smart Home Systems: Technologies, Applications and Future Challenges

With the continuous development of artificial intelligence (AI) technology, smart home systems have gradually evolved from traditional automated control modes toward intelligent systems with environmental perception, autonomous decision-making, and proactive service capabilities. However, existing smart homes still fac...

Ruikang Dong · 0 citations
#artificial intelligence Open access Oct 2026

BENCHMARKING 2D AND 3D OBJECT DETECTION MODELS ON DIFFERENT EDGE COMPUTING PLATFORMS

The deployment of artificial intelligence models on edge computing platforms is imperative for applications necessitating real-time perception, including object detection and gesture recognition.This paper presents a thoroughgoing benchmarking study of 2D and 3D convolutional neural network models across a range of rep...

SHAHLA URALOVA, Amil Babayev, Qurban YUSUFOV et al. · 0 citations
#edge computing Open access Oct 2026

A Real-Time Machine Learning-Based Intrusion Detection and Prevention System for Decentralized Networks using Random Forest and Isolation Forest

Decentralized networks—spanning Internet-of-Things deployments, edge computing platforms and peer-to-peer systems—offer improved scalability, resilience and the elimination of single points of failure. At the same time, their distributed structure makes continuous monitoring and timely intrusion response substantially...

I. Achi, F. O. Ogbunude · 0 citations
#edge computing Open access Oct 2026

Standalone Survival and Self-Governance HEAIN Core Protocol 1.3: Automatic Role Return, Operation Through Network Partitions, and Hierarchy-Wide Configuration Governance for Fractal Edge AI

Abstract HEAIN-CORE-1.1 [5][6] showed that the seven core procedures of the HEAIN Core Protocol run correctly on real hardware, and HEAIN-CORE-1.2 [9] made promotion climb several levels. Five limitations still kept the system from being ready for real outages: role return was manual and last-in, first-out; a "network...

JAKKRIT BOONMA · 0 citations
#edge computing Dataset Open access Oct 2026

Bird occurrence records used for effort-corrected richness in South and Southeast Asia, 1-degree grid

Bird occurrence records (Aves, GBIF taxonKey 212) used in Course Project 9 to compute effort-corrected species richness for 884 one-degree grid cells covering South and Southeast Asia (5-31°N, 68-102°E). The records were obtained through the GBIF occurrence search API with a species facet, not as a download. Filters: h...

devansh · 0 citations
#edge computing Open access Oct 2026

Descent Is a Reduction: A Kolmogorov–Arnold Network That Proves Its Own Training, Down to the Silicon

A training step is usually a number that goes down on a plot. We make it a theorem. We exhibit a finite rational Kolmogorov–Arnold network whose evaluation, squared-error loss, and least-squares gradient are each a composition of a single primitive — the binary integer-arithmetic active pair, the smallest local rewrite...

The Institute for Applied Ontological Mathematics · 0 citations
#edge computing Open access Oct 2026

Research on Aided Reading System of Digital Library Based on Text Image Features and Edge Computing

With the rapid development of library informatization, traditional text information retrieval service methods have been unable to meet the needs of users. Therefore, personalized assisted reading technology has attracted wider attention, as it can discover hidden associations by mining user information, book informatio...

Prof. Suyog Medhe Vaishnavi Suresh Deshmane, Dr. H. B. Jadhav · 0 citations
#edge computing Open access Oct 2026

FROM VEHICLE OPERATIONS TO ASSET-ORIENTED MOBILITY MANAGEMENT: SEPARATING COGNITIVE REFRAMING FROM ANALYTICAL METHOD CHANGE

This article examines the theoretical foundations, architectural features, and integration possibilities of Edge Computing and Cloud Computing technologies. While Cloud Computing is focused on providing computing resources through a centralized infrastructure, Edge Computing is based on processing data in a computing e...

Shevchenko M. · 0 citations
#edge computing Oct 2026

An Intelligent Entity Resolution at Scale: A Graph-Based Social Network Framework

Entity Resolution (ER) seeks to identify and merge, within one or more datasets, whichever records ultimately correspond to the same real-world entity. As one of the tasks most consequential for data quality and for the reliability of downstream analysis, ER becomes markedly harder under Big Data conditions, given the...

Mohammad SH Daoud, Hussain Al-Aqrabi, Yousef Q. Saadeh et al. · 0 citations

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Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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