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edge computing

2,705 papers

#edge computing Dataset Open access Oct 2026

Verification strength does not buy discovery quality: a pre-registered, two-domain, hundred-pair test of verifier-bound automated research — Artifact Record

Artifact record for the manuscript "Verification strength does not buy discovery quality: a pre-registered, two-domain, hundred-pair test of verifier-bound automated research". Contents: frozen pre-registration protocol (v1.0-v1.2 with changelogs), per-pair JSONL ledgers for two domains (job-shop scheduling, n=100 pair...

Siyuan Zhang, Peter Chen, Ying Xu · 0 citations
#edge computing Open access Oct 2026

LFT-YOLO: Lightweight Feature Transfer and Adaptive Upsampling for Small-Object Pine Wilt Disease Detection in UAV Imagery

Monitoring forest diseases is essential for sustainable forestry management and ecological security. However, unmanned aerial vehicle (UAV)-based forest inspection remains challenging because diseased pine canopies are often small, densely distributed, partially occluded, and easily confused with complex background pat...

Qinghua Cui, Yipeng Geng, Huazhen Xu et al. · 0 citations
#edge computing Dataset Open access Oct 2026

Glycidol (CAS 556-52-5): engraved ball-and-stick 3D molecular model (STL)

This entry presents Glycidol (C3H6O2; CAS 556-52-5; PubChem CID 11164) as a 3D-printable ball-and-stick model in which every atom carries its engraved element symbol (C, H, O), so the model can be read without a colour key. Atomic coordinates come from the PubChem-computed 3D conformer (not an experimental crystal stru...

MolGod.org · 0 citations
#edge computing Open access Oct 2026

PERFORMANCE BENCHMARKING OF EMBEDDED EDGE DEVICES FOR VARIOUS FACE RECOGNITION MODELS

Artificial Intelligence (AI) models are increasingly pivotal in enabling face recognition across various fields, from educational and research settings to public spaces.Effective deployment of these models requires high-performance hardware, such as RTX graphics cards or embedded edge devices like Nvidia's AGX Orin and...

Rasim Mahmudov, SHAHLA URALOVA, Amil Babayev · 0 citations
#edge computing Open access Oct 2026

floquet-line-design: physics-guided design and verification of time-varying transmission lines

The code release cited by the paper. Every number and rule the paper states is what this release does. Each change F1-F10 has a test that fails on 1.0.0 and passes here. F1, adopted gate constants. The stage-0 gate defaults to T_req = 0.17378, cascade-anchored as m*_D / (k V_bt^max). The earlier screening threshold rem...

Bakhtiyar Orazbayev · 0 citations
#edge computing Open access Oct 2026

Maximal elements in the Hurwitz graph

The Hurwitz graph has as its vertices the maximal chains in the lattice of non-crossing partitions, with an edge between two chains which differ at exactly one place. Adin and Roichman introduced an order on this graph by choosing a base element and showed that the maximal elements are counted by the Catalan numbers. W...

Philippe Biane · 0 citations
#edge computing Open access Oct 2026

The Service-Life Trajectory: A Label-Free Degradation Gauge, Its Competence Boundary, and the Drift a Frozen One-Byte Monitor Must Survive

The Service-Life Trajectory: A Label-Free Degradation Gauge, Its Competence Boundary, and the Drift a Frozen One-Byte Monitor Must Survive Randolph James Ferlic, M.D. and Kimberly Kate Ferlic — Fieldstone Analytics, LLC, Austin, TX, USA Preprint · Zenodo DOI: 10.5281/zenodo.23321165 · CC-BY 4.0 · Community: spiral-doma...

Randolph James Ferlic, Kimberly Kate Ferlic · 3 citations
#edge computing Oct 2026

Multi-Robot Collaborative SLAM in Warehouses: A Review

With the rapid growth of e-commerce, Automated Guided Vehicles (AGVs) are increasingly deployed in intelligent warehouses, where Simultaneous Localization and Mapping (SLAM) provides the core localization capability. Warehouses differ from domestic or outdoor scenarios in four respects: highly structured regular rack l...

Wentao Liao · 0 citations
#federated learning Open access Oct 2026

IoT-Enabled Instrumentation Architectures for Predictive Maintenance and Remote Monitoring in Large-Scale Automated Industrial Plants

The fast industrial digitalization process results in the implementation of Internet of Things (IoT) technologies into the big automated plants to improve its operational precision, reliability, and sustainability. The paper presents a novel IoT-based instrumentation architecture to predictive maintenance and remote mo...

Vyas Dipesh Shantilal · 0 citations
#federated learning Book Oct 2026

Self-Evolving Adaptive Resource Management Framework for Resilient 6G-IoT Architectures Using Federated Edge Intelligence and Semantic Communication

The massive rise of hyperconnected devices, ultra-reliable low-latency communications (URLLC), and autonomous systems on the 6G-IoT front line, have called for a drastic change to resource management methodologies. In this paper we present a pioneering work the S-EARM (Self-Evolving Adaptive Resource Management) framew...

K Devadharshini, Aby K Thomas, Reeba Korah · 0 citations
#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

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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.

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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