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edge computing

2,458 papers

#edge computing Dataset Open access Sep 2026

3-6-9 n-slot

Abstract This dataset and software repository presents the formal implementation and theoretical framework of the Slot-Based Technical Taxonomy Model (N-Slot Engine). Evolving from a baseline 3-slot architecture (Header + Core + Modifier), this framework introduces deterministic 6-slot and 9-slot positional grammar sch...

Donald Sobaski · 0 citations
#edge computing Open access Sep 2026

Finite Bipartite Graphs as Induced Subgraphs of Subfactor Principal Graphs

Every finite bipartite simple graph occurs as a vertex-induced unrooted subgraph of the principal graph of an irreducible finite-depth inclusion of hyperfinite type II1 factors. For part sizes m and n, an explicit neighborhood-multiplicity parameter q gives index q3^n, with q at most m+1, and depth at most four. The se...

Alper Ferudun · 0 citations

Development of a geographic information mapping and dynamic monitoring platform for multi-network data fusion

To address governance bottlenecks such as data silos and fragmented monitoring in the implementation of the "Ten Networks" strategy in Xinjiang's Kezhou Prefecture, and to facilitate digital transformation in border regions, this paper conducts research on multi-network data integration, geographic information mapping,...

Qianfang Lei, Zhenghui Yang, Yahong Zhang · 0 citations
#federated learning Dataset Open access Sep 2026

Bibliometric Mapping of Cloud Linked Artificial Intelligence in the Internet of Things

The convergence of artificial intelligence (AI) and the Internet of Things (IoT) is increasing interest in how intelligence is distributed across cloud, edge, fog, and device layers. This study maps the 2020-2026 development of cloud-linked AI-IoT research using Scopus metadata. The reported Scopus query required AI or...

Osman Diriye Hussein, Adam Muhudin, Mohamed Abdirahman Addow et al. · 0 citations
#federated learning Review Open access Sep 2026

The Role of Artificial Intelligence and Digital Transformation in Smart and Sustainable Infrastructure Systems

Artificial Intelligence (AI) and digitalization are rapidly transforming the planning, operation, maintenance and management of critical infrastructure. Planning, operation, maintenance and management of critical infrastructure is changing with Artificial Intelligence (AI) and digitalization. The review covers energy,...

Marjan Sultana Nuha · 0 citations

Quantum-Secure Photonic-Neuromorphic Edge Intelligence for Autonomous Environmental Sensing and Climate-Resilient Smart Cities

Abstract: Climate-resilient smart cities require sensing infrastructures that can detect weak, rapidly evolving environmental signals, infer actionable risk locally, and remain trustworthy under both cyber disruption and emerging quantum threats. This paper develops a model-based architecture for Quantum-Secure Photoni...

Murali Krishna Pasupuleti · 0 citations
#edge computing Open access Sep 2026

Around a Well the Water Table Falls Only as the Logarithm of Distance, and Keeps Falling as the Logarithm of Time ── the drawdown decreases by only 3.6647 m for each tenfold increase in distance, and with pumping it keeps falling by 1.8323 m for each tenfold increase in time ── in three-dimensional flow it settles to a steady 0.79577 m ── [Paper 599]

Pumping a well lowers the water table around it, and it is easily taken that the effect fades a little way off. What this paper shows is that in a horizontally spreading aquifer (two-dimensional flow) the drawdown decreases only as the logarithm of distance and, with continued pumping, keeps falling as the logarithm of...

Yuuki Yamagishi · 0 citations
#edge computing Open access Sep 2026

The Citations That Run Backwards in Time Are the Trace of Revision ── 304 of 3219 directed edges point to later papers ── 67.31 per cent of papers with a backward citation carry a revision log, 53.29 times the 1.26 per cent of the rest ── [Paper 529]

A citation network can only point backwards in time, so by construction it should contain no cycles. What this paper shows is that this corpus does not obey that, carrying 304 edges that run the other way, and that these are explained as traces of revision. No new theorem or law is claimed. Scope of this paper (scope n...

Yuuki Yamagishi · 0 citations
#edge computing Open access Sep 2026

CLOUD COMPUTING, EDGE COMPUTING, AND THE INTERNET OF THINGS TECHNOLOGIES, ARCHITECTURES AND REAL WORLD APPLICATIONS

This book provides a comprehensive overview of Cloud Computing, Edge Computing, and the Internet of Things (IoT), focusing on their fundamental concepts, technologies, architectures, and real-world applications. It explains cloud service models, deployment approaches, virtualization, distributed computing, and cloud-ba...

Anantjit Publication · 0 citations
#edge computing Open access Sep 2026

New edge proposed: opening_range_breakout_with_prior_day_pivot_reclaim — E8 Intelligence Research

{ "name": "opening_range_breakout_with_prior_day_pivot_reclaim", "source": "floor trader pivot point method (e.g., John Person, Camarilla)", "type": "entry_engine", "rule": "Enter long when price trades above prior day pivot and maintains 1-min close above it after first hour opening range breakout; enter short when pr...

Andrew Stewart Caldin · 0 citations
#edge computing Open access Sep 2026

ponder-lab/ML: 0.52.103

What's Changed Record three generator invariants established by wala/ML#907, #916 and #928 by @khatchad in https://github.com/ponder-lab/ML/pull/859 Give the allocation-site extractor a declining variant and move the callers that already expect a null onto it (wala/ML#925) by @khatchad in https://github.com/ponder-lab/...

Raffi Khatchadourian, Julian Dolby, shinnar et al. · 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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