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edge computing

2,572 papers

#edge computing Open access Sep 2026

Blockchain-enabled secure IOT framework using energy-efficient functional materials for scalable cross-border financial transactions

The quick convergence between IoT and blockchain technologies has opened possibilities for revolutionizing the global finance system across borders, but the issues concerning energy usage, Scalability, Security, and Costs have become major obstacles in their deployment on a massive scale. In this research, we propose a...

Cheng Ju, Guodong Zhu · 0 citations
#edge computing Open access Sep 2026

A Graph Path-Sum Framework for the Anderson Localization-Length Exponent from a Critical Green Function

We develop a graph path-sum framework for constructing determining equations for the Anderson localization-length exponent from a critical Green-function sector. The path sum is an all-depth representation; finite depth enters only as an explicit computational truncation. The critical Green function generates contact-i...

Yoshiki Ueoka · 0 citations
#edge computing Conference Sep 2026

An intelligent analysis model for detecting anomalies in autonomous vehicle networks with enhanced edge computing

The model maintains stable detection under different edge computing capacities and connects intrusion recognition, propagation assessment, and local response into a continuous evaluation chain, providing millisecond-level security support for safety-critical communication and control in autonomous vehicles and reducing...

Gang Cao, Han Ye, Zhi-Quan Liao · 0 citations
#edge computing Open access Sep 2026

Analysis code and outputs: cryptocurrency designation reaches the addresses that moved the money, not the infrastructure that carries it

Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...

Qian'ang Mao, Jiaxin Wang, Jiaqi Yan · 0 citations
#edge computing Open access Sep 2026

A Discrete Ledger Theory of Gravity: Weak-Field Einstein–Hilbert and Constraint-Algebra Recovery

We present a discrete theory of gravity whose microscopic primitive is a conserved ledger whose dynamical step is a single one-coordinate, one-bit posting, and we prove exactly where such a theory must import geometry and how much of general relativity it recovers once it does. Three unconditional theorems carry the ne...

Washburn · 0 citations
#edge computing Open access Sep 2026

Enumerating Minimal Power Dominating Sets

Power Dominating Set Enumeration This repository contains the code and computational experiments accompanying the paper "Implicit Hitting Set Enumerating for Power Dominating Sets". A permanent record of the repository can be found at Zenodo. Background A power dominating set of a graph is a vertex set that marks the e...

Max Göttlicher, Thomas Bläsius, Martin Schirneck · 0 citations
#edge computing Open access Sep 2026

ZScope

Stable release for Windows. Includes all core EIS fitting features. What's New in v3.0.2 ZScope 2.x.x was a very good tool for fitting one spectrum. This release is about everything around that: understanding what your circuit is doing, controlling how it is fitted, deciding which circuit is right, and — the reason for...

Tecush Mohammadi, Tayebeh Sharifi · 0 citations
#edge computing Review Open access Sep 2026

GPU and RISC-V acceleration for neuromorphic computing based on spiking neural networks: taxonomy, comparison, and open challenges

This survey reviews 71 studies published between 2015 and 2025 and organizes them into a taxonomy that classifies GPU works into simulation frameworks, training-acceleration techniques, large-scale and multi-GPU simulation, and application deployments, and RISC-V works into instruction-set extensions and tightly-couple...

Edris Zaman Farsa, Amirhossein Ilkhani, Marc Reichenbach et al. · 0 citations
#edge computing Open access Sep 2026

lithium-ion battery life cycle monitoring system based on IoT edge computing and cloud big data

The reliable lifecycle monitoring of lithium-ion batteries is critical for microgrid energy storage systems, where battery degradation, dynamic load variation, and abnormal operating conditions may directly affect system safety and energy efficiency. However, existing battery monitoring systems still have limitations i...

Xiao-Qing Yang, Tseren-Onolt Ishdorj, Zheng-Wei Liu · 0 citations
#edge computing Sep 2026

In-Vivo Frame Dynamicity of Self-Expanding Transcatheter Aortic Valves.

Self-expanding THVs exhibited dynamic behavior throughout the cardiac cycle, with stent expansion during systole at both VBR and BLP levels and stent design influenced this dynamicity, as Acurate Neo2 had greater stent variability compared to Evolut THV.

M. Calì, Sofia Sammartino, L. La Rosa et al. · 0 citations
#edge computing Open access Sep 2026

BMBF-Verbundprojekt AI_at_theEdge: "Elektronik mit neuartigen Materialien für Edge-Computing in Mobilfunknetzen"; Teilvorhaben: AI_at_theEdge - "Erforschung von HF Verstärkern basierend auf neuartiger GaN/Si Technologie für Edge-Computing in Mobilfunknetzen"

Das vom BMBF/BMFTR im Rahmen der Bekanntmachung OCTOPUS geförderte Verbundvorhaben AI_at_theEdge adressierte die technologische Grundlage für eine KI-gestützte, flexible, effiziente, skalierbare und resiliente Mobile-Edge-Cloud-Umsetzung für zukünftige Mobilfunknetze mit geringer Latenz, hoher Frequenzagilität und hohe...

Christian Musolff, H. Brech, Manuela Neyer · 0 citations
#edge computing Open access Sep 2026

Exact loop histories require unbounded memory

A walk can return to its starting point while leaving a record that keeps growing. On a cube, counting every directed crossing loses which face loop came first; two retained states recover that distinction. Exact recovery of every reduced loop word requires unbounded memory. We characterize precisely which pairs of rep...

Washburn · 0 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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