edge computing

Harvest-Aware Real-Time Scheduling for Solar-Powered Edge Nodes under African Climatic Conditions

ISO and the Cosmic Dark Ages: An Observational Programme

The geometric-invariant reading of the fine structure constant (companion paper) makes one epoch of cosmic history special with no adjustable parameter: the moment the universe's logarithmic extent L_θ swept through the invariant 1/α = 4π³ + π² + π. We compute that epoch from the invariant and standard cosmology alone...

Does the Evidence a Model Cites Drive Its Conclusion? A Pre-registered Causal Test of Declared Evidence Relations in Structured Reasoning Traces

When a language model writes down its reasoning, does the evidence it cites actually drive the conclusion it states? We contribute a reproducible method for testing causal alignment between declared trace relations and model computation, and a pre-registered application to Qwen2.5-7B-Instruct on a controlled comparison...

NAC-MIEL: Source Code for Neural Variational Adaptive Control in Physical Human–Robot Interaction

NAC-MIEL: Source Code for Neural Variational Adaptive Control in Physical Human–Robot Interaction This repository archives the original research source code associated with the manuscript "MIEL Framework for Neural Variational Adaptive Control" (Manuscript ID: PONE-D-26-14196), submitted to PLOS ONE. The study proposes...

1-Phenethylamine (CAS 618-36-0): engraved ball-and-stick 3D molecular model (STL)

This entry presents 1-Phenethylamine (C8H11N; CAS 618-36-0; PubChem CID 7408) as a 3D-printable ball-and-stick model in which every atom carries its engraved element symbol (C, H, N), so the model can be read without a colour key. Atomic coordinates come from the PubChem-computed 3D conformer (not an experimental cryst...

Cloud-Based Infrastructure for Artificial Intelligence and Machine Learning Workloads: A Scalable Framework for Saudi Enterprises

In Saudi companies artificial intelligence and machine learning are moving from being mere experiments to becoming operational capabilities, which is leading to an infrastructure issue that goes well beyond the need for computing power. The processes involved in training, fine-tuning, inference, feature preparation, mo...

Hangar Form Cell: Dieless Robotic Sheet Metal From CAD to Certified Part Without Vendor Cloud

An open reference architecture by CodeNinja Atoms for system design in physical AI, in aviation and aerospace manufacturing, written for an aircraft maintenance, repair and overhaul facility in the United States. A vendor-independent dieless robotic sheet metal cell: dual-arm synchronized forming with generic interchan...

21) Infrastructure-Aware C5I Service Orchestration Across Tactical Edge, Regional Compute, and Military Data Centers

This study develops a defense-oriented framework for infrastructure-aware c5i service orchestration across tactical edge, regional compute, and military data centers within an integrated military C5I environment. The research addresses the engineering problem of maintaining mission information advantage when physical i...

AI-integrated non-destructive sensing technologies for road condition assessment: recent advancements, technical bottlenecks, and future trajectories

This review presents a comprehensive analysis of recent trends in AI-driven sensing technologies for road condition assessment. Driven by the need for automated monitoring of aging infrastructure, 92 key studies published between 2020 and 2025 were analysed. The review evaluates five primary sensing modalities: vision-...

Advances in Precision Agriculture Using AI

Precision agriculture (PA) is revolutionizing modern farming by integrating advanced digital technologies to optimize agricultural productivity, resource efficiency, and environmental sustainability. The infusion of artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL) algorithms, has...

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...

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...