edge computing

Cumulative Intraoperative Hypothermic Burden, Transfusion, and Estimated Blood Loss: A Retrospective Cohort Study

Analysis pipeline for a retrospective cohort study of cumulative intraoperative hypothermic burden, intraoperative red cell transfusion, and estimated blood loss in 2,567 adults undergoing non-cardiac surgery, using the open VitalDB perioperative database. Scripts run in numeric order: 01-14 reproduce the originally su...

EcoFair: Energy-efficient inference routing for edge AI under data degradation

علم الرسم الذكي

العنوان التقني: منظومة المعالجة الطرفية البصرية والتوليد التفاعلي للأنماط الرسومية اللامركزية 1. النطاق التقني ومجال الاختراع (Technical Field): تتعلق المنظومة الحالية بأنظمة الحوسبة الطرفية المستقلة (Edge Computing Frameworks)، وتحديداً المعماريات المدمجة للذكاء الاصطناعي المحلي المخصص لتوليد، وتحليل، ومحاكاة البيانات...

Based on Cognitive Maps: A Distributed Knowledge Reasoning System

This paper proposes a novel approach to distributed knowledge reasoning by leveraging cognitive maps. The core idea is to represent knowledge as a structured graph, where nodes represent concepts and edges represent relationships. This graph representation facilitates efficient and reliable reasoning through the applic...

PlanarBench: Evaluating LLM Spatial Reasoning via Planar Graph Drawing

Existing LLM graph benchmarks typically ask models to answer graph-theoreticquestions or compute symbolic solutions rather than construct spatial layouts.Within-task difficulty is also primarily stratified by vertex count. However, existingresearch also suggests that task difficulty is more closely related to the numbe...

Artificial Intelligence and Edge Computing for Sustainable Smart Water-Safety Monitoring in Low-Resource Communities: A Critical Review

The synthesis clearly shows that the implementation of edge AI techniques has the capability to improve global water quality through immediate pollution detection, disaster forecasting, and automatic filter or alarm response without the need for cloud infrastructure.

What must a theory of perturbational complexity explain? Nine preregistration-hardened constraints, six dead hypotheses, and a minimal visibility account

Across five preprints (doi:10.5281/zenodo.22100546, .22100826, .22101059, .22120069, .22133403), we measured how perturbational complexity behaves once its estimator is debiased, what quantity it tracks — the reproducible dimensionality of the evoked response (R-dim) — and how that quantity depends on dynamics, trial c...

Frustration and holonomy in sheaves of qualia structures: quantitative local-to-global principles for phenomenal unity

In [1] we introduced the frustration f(S)f(S) of a sheaf of pseudometric spaces — the least consistency radius (in the sense of Robinson [3, 4]) achievable by any assignment — and proved metric local-to-global principles: holonomy displacement bounds, exact values on cycles, and rectification on acyclic covers. Prompte...

A Confound-Annotated Curriculum Dataset with Parsed Prerequisite Logic for the Universities of the United Arab Emirates

A machine-readable, course-level corpus of the curricula of the universities of the United Arab Emirates, assembled from their published course catalogs. The corpus comprises twenty-two institutions across 56 catalog editions, 52,802 course records, and 33,945 parsed prerequisite relations, of which 7,030 (20.7%) are d...

Cumulative Intraoperative Hypothermic Burden, Transfusion, and Estimated Blood Loss: A Retrospective Cohort Study

Superseded. This record is retired and should not be used or cited. It is replaced by 10.5281/zenodo.22234051, which is the archive accompanying the manuscript. Version v2.0.0 of this record (10.5281/zenodo.22232689) additionally contained files that should not have been distributed and its removal has been requested....

TinyHLS, a Python-based Hardware Compiler for 1D and 2D Convolutional Neural Networks

TinyHLS is a Python-based hardware compiler that automatically generates hardware accelerators in the form of hardware description language (HDL) code for Convolutional Neural Networks (CNNs). The description of the CNN architecture as well as the training is done in advance using Python TensorFlow Keras. TinyHLS reduc...

Reproducibility package — Source-Code Analysis of iFogSim for Simulating Distributed IoT Architectures

Simulation is an indispensable tool for validating distributed IoT architectures before physical deployment, and iFogSim has emerged as one of the most widely adopted platform in the fog and edge computing research community. Yet the experience of using iFogSim for non-canonical, application-specific architectures rema...