edge computing

Edge AI Empowering Real-Time Decision-Making and Autonomous Defense Operations in Smart Warfare

The rapid advancement of artificial intelligence edge computing, and autonomous systems is transforming the nature of modern warfare. Traditional defense operations, which relied heavily on centralized command structures and human decision-making, are increasingly being augmented by intelligent systems capable of sensi...

METHOD OF DYNAMIC TRUST ASSESSMENT IN DISTRIBUTED SYSTEMS

Context. Modern distributed computing and cyber-physical systems, such as UAV swarms and IoT networks, are shifting from centralized control to decentralized real-time collective decision-making. These systems often operate under conditions of limited bandwidth, dynamic topology, and the presence of unreliable or malic...

Overlay Layers v1: Meaning-Free Cores with Separable Interpretation Layers

PSL's invariant that every meaning field is always null has so far been applied within a single module at a time. This report generalizes it into an explicit architectural pattern -- a meaning-free core that is never modified, paired with a separable overlay (for machine-facing derived signals) or skin (for human-facin...

EdgeFusionNet: A Multimodal Edge AI Framework for Real-Time Anomaly Detection and Threat Evaluation in Surveillance Systems

Preregistration: Forecasting Crises Inside Autocracies with Historical Backcasts

Preregistered protocol, version 1.4, for sprint 4 of seldon-lab, the research workflow of the Computational Macrohistory (CMH) programme at the Foundations Institute of Computational Social Science (FICSS). Question. Among non-democracies (V-Dem polyarchy below 0.5), does a model with slow covariates forecast crises be...

Two Indicators, One Threshold: The Cost of Dependence under Per-Coordinate Spectral Reads

A state has two indicators. Compliance is decided by the posterior mean of the first, while a verifier reads each disclosed posterior through a per-coordinate spectral statistic of both marginals — a lower Expected Shortfall or a lower quantile of each indicator — and the sender minimises the expected read subject to a...

sharedstat: diagnose and correct statistics built from a shared component

An R package for statistics formed from a difference, ratio or residual of two quantities that share a measured component. Four such constructions are covered: a divergence measured against a shared reference arm, a trans term obtained by subtracting a cis term, a count of significant features read as an ordering of ef...

cavsqueeze: beyond-mean-field cavity-mediated spin squeezing for solid-state clock-transition ensembles

Measured-data release: less biased tomography fits, error bars that hold for non-Gaussian detection noise, an exact Voigt width, moments of the trajectory solver at the requested times, and input checks where bad inputs used to give silent nan or unphysical numbers. Added estimate_squeezing(..., shot_noise="empirical")...

The Edge-Borel growth constant is a non-classical exponential period: an SL(2) monodromy on the Painleve III(D8) surface and a conditional transcendence theorem

v1.1 correction notice. This version corrects the identification of κ as a Stokes multiplier, withdraws the conditional transcendence theorem (Theorem 4) that the title refers to, and corrects four smaller statements, after an independent re-audit that recomputed the Stokes jump by two routes. The paper file, the title...

HopfionSeries Paper XX - The Dynamical Layer of the Quark Sector: $E_6$-Native Generations, the Isospin Mass-Scale, and Static Residuals as Strong Dynamics

Papers V and XV–XIX establish the static, topological content of the QH=3 quark/baryon sector — the trefoil T(2,3), the binary tetrahedral group 2T, the WZW model (E6)1 ⊃ SU(3)1×3, and a saddle-less (algebraic) quark mass. Paper XX assembles the sector's dynamical content and, in doing so, sharpens what the framework i...

SafeSpeaker: Voice Obfuscation for Resource-Constrained IoT Devices

Embodied voice assistants offer an intuitive and powerful interaction modality, but they also pose significant privacy-leakage risks when uploading raw voice recordings to the cloud for processing. These voice recordings contain a wealth of private information beyond just spoken content, such as acoustic features that...

Integrating CLAHE and H-MHI with CNN for prompt recognition in children with a diagnosis of autism

Individualized therapeutic prompts such as physical, gestural, or verbal cues are necessary to enable children diagnosed with autism to become independent in daily activities. However, the automated detection of the prompts in naturalistic conditions is difficult. The solutions currently proposed also have difficulty w...