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edge computing

2,418 papers

#edge computing Open access Oct 2026

A multi-layer information model and adaptive algorithms for monitoring hybrid energy supply in IoT-based telecommunication networks

Most deployed energy-monitoring systems only measure electrical parameters and transmit them to a remote server, whereas equipment condition assessment and automatic optimisation remain undeveloped. This paper proposes the architecture and the mathematical model of a hybrid monitoring platform uniting IoT sensing, edge...

J. Djumanov, M. Sobirov · 0 citations
#edge computing Open access Oct 2026

Joint Placement and Prewarming for Hybrid Service Function Chains: A Critical-Path-Guided Grey Wolf Optimizer

Hybrid service function chains (SFCs) composed of containerized network functions (CNFs) and virtual machine-based network functions (VMNFs) underpin latency-critical services in edge computing environments, yet the order-of-magnitude difference in cold-start latency between the two virtualization types severely underm...

Jun-Peng Cai, Ying-Bo Wu · 0 citations
#edge computing Open access Oct 2026

Zero-Shot Multi-Scope LCA Framework for Machine Learning (Replication Code)

This repository contains the complete analytical Python bounding engine and the standalone HTML interactive Oracle required to replicate the findings in the associated manuscript. Abstract:Machine learning workloads now consume a significant and increasing percentage of global data centers energy. To overcome this prob...

Anonymous Anonymous · 0 citations
#edge computing Dataset Open access Oct 2026

Farm typology and livelihood vulnerability of 421 farms in the upper río Hacha basin, Caquetá, Colombia

De-identified household-survey data for 421 farms in the upper río Hacha basin (Florencia, Caquetá, Colombia), surveyed December 2022 to March 2023 under a Participatory Rural Appraisal. How this deposit is organisedFiles 01 to 06 are the reusable base: the farm typology, the livelihood vulnerability indices, the expos...

Ervin Humprey Durán Bautista, Yimi Katherine Ángel-Sánchez · 0 citations
#edge computing Open access Oct 2026

In-Silico Tests of the Four-Model Architecture: Self-Referential Closure, Self-Modelling and Criticality in Model Systems

The Four-Model Theory of Consciousness (FMT; Gruber, 2015, 2026e) specifies consciousness as ongoing self-simulation across two kinds of models — implicit (learned, substrate-level) and explicit (generated, phenomenal) — organized by scope (world vs. self) and mode (implicit vs. explicit), and it requires a substrate c...

Matthias Gruber · 0 citations
#edge computing Open access Oct 2026

An Integrated Electrochemical-Dielectric Framework for Multimodal Cellular Triage:Physics-Informed Edge AI on ESP32-S3

Early detection of cellular anomalies remains challenging in resource-limited settings where conventional diagnostic infrastructure is unavailable. This work presents a unified electrochemical-dielectric framework for multimodal (whole blood and buffer) label-free cellular screening that integrates Hydrogen Evolution R...

Daniel Isaias Vivas Zamora, Jose Alfredo Sanchez Diaz, Arnaldo Armando et al. · 0 citations
#edge computing Open access Oct 2026

The Lattice Field Medium: A Computational Substrate for Emergent Physics

# LFM-PAPER-045: The Lattice Field Medium **Version**: 38.0 (August 2026 -- flat-octic GOV-02 canonical update) **Upload documentation update (2026-10-02)**: This final package now includes`LFM_V39_EQUATION_ADDENDUM_2026-10-02.md`, a timestamped record of the activev39.0.2 EM/electron research equations. The addendum i...

Greg Partin · 0 citations
#edge computing Open access Oct 2026

Physics-Informed Multimodal Sensing and Machine Learning Framework with Real-Time Digital Twin for Intelligent Structural Health Monitoring of Marine Wharves

Marine wharves, consisting of concrete or steel decks supported by pile foundations, operate in harsh marine environments involving waves, vessel impacts, and corrosive seawater. Even minor cracks or early-stage corrosion in piles can lead to sudden structural failure. Early detection is therefore essential. Traditiona...

Mohammad Asadian Ghahfarokhi, James Riffat, S. R. Samaei · 0 citations
#edge computing Book Open access Oct 2026

An exact MUB triple in dimension six with two Fourier edges

In this research, I constructed an exact algebraic triple of mutually unbiased bases (MUBs) in ℂ⁶ consisting of the computational basis, a member D(ρ) of the Diţă slice from Karlsson's three-parameter family, and an explicit third basis B. Through exact symbolic computation over a degree-96 number field extension, I pr...

Adian Jaupi · 0 citations
#edge computing Book Open access Oct 2026

An exact MUB triple in dimension six with two Fourier edges

In this research, I constructed an exact algebraic triple of mutually unbiased bases (MUBs) in ℂ⁶ consisting of the computational basis, a member D(ρ) of the Diţă slice from Karlsson's three-parameter family, and an explicit third basis B. Through exact symbolic computation over a degree-96 number field extension, I pr...

Adian Jaupi · 0 citations
#federated learning Open access Oct 2026

Sustainability intelligence: Integrating Artificial Intelligence, the Internet of Things, and Digital Twins for resource-efficient and climate-resilient systems

Sustainability has become one of the defining scientific and societal challenges of the twenty-first century. Climate change, rapid urbanization, population growth, increasing energy demand, and declining natural resources require decision-making that is continuous, adaptive, and supported by reliable environmental int...

Wael Maged Badawy · 0 citations
#federated learning Review Open access Oct 2026

Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystems

The proliferation of Internet of Things (IoT) and Industrial Internet of Things (IIoT) technologies has fundamentally transformed contemporary computing infrastructures by interconnecting large heterogeneous devices, sensors, embedded systems, and cyber-physical platforms. These ecosystems support diverse applications...

S. S. Kumar, M. Jerlin · 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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