edge computing

SPNet: segmentation-to-poly network for building footprint extraction

Building extraction from remote sensing images is a core task in urban planning and related applications. However, achieving high-precision building footprint extraction remains challenging due to complex building shapes and background noise. Existing mask-based methods produce raster masks with jagged edges, which gen...

A Novel Modified Total Generalized Variation Technique for Image Denoising

The process of image denoising is very crucial in the field of image processing, since noise tends to adversely affect both the appearance and structure of images that are applied in different fields of study such as science and engineering. In this research paper, we present a new hybrid image-denoising scheme called...

AMARQ: Adaptive multi-application routing for quantum networks

Abstract Future quantum networks will have to support different applications on shared infrastructure, like fidelity-critical Quantum Key Distribution (QKD) and latency-sensitive Distributed Quantum Computing (DQC). The existing approaches for entanglement routing either optimise for a single application, or rely on se...

UMMI urban morphology and microclimate indicators: 67 cities (v0)

Grid-cell indicators of urban morphology and microclimate for 67 cities (486,406 cells), computed from OpenStreetMap buildings and streets and from Sentinel-2 imagery. The record also includes a k-means typology of the cells (19 types) and an STL building model of one representative cell for each type, for use as CFD g...

EL-RAKHAWI HYPER-DIMENSIONAL COGNITIVE INTELLIGENCE MODEL WITH DYNAMIC NEURO-SYMBOLIC FUSION A Paradigm-Shifting Patent Disclosure for Engineering Next-Generation Artificial Intelligence via Topological Representation, Event-Driven Sparse Compute, and Elastic Lifelong Memory

EL-RAKHAWI HYPER-DIMENSIONAL COGNITIVE INTELLIGENCE MODEL (HDCI-DNSF)Author: Dr. Mohamed Kamal Arafa El-Rakhawi | DOI: 10.5281/zenodo.23370940 A paradigm-shifting patent disclosure redefining artificial intelligence from statistical approximation to deterministic cognitive resonance, overcoming hallucination, catastrop...

AI-Driven Smart Contracts and Autonomous Financial Ecosystems

This chapter delves into the transformative synergy between artificial intelligence (AI) and smart contracts, positioning them as the next frontier in managing digital assets and virtual currencies. It introduces the core concepts, illustrating how AI injects adaptability into rigid blockchain-based contracts, enabling...

Design and implementation of an AI-enabled English teaching support system

Traditional English teaching system has some problems, such as insufficient semantic understanding, low efficiency of personalized recommendation and high real-time interaction delay. This paper proposes an adaptive English teaching system based on AI. The system adopts a six layer microservice architecture, integratin...

DiffLyap-MEC: Diffusion-Guided Lyapunov Optimization for Joint Offloading, Semantic Compression, and Resource Allocation in ISAC-Enabled 6G Edge Computing

Integrated sensing and communication (ISAC), semantic communication, and mobile edge computing (MEC) jointly create a high-dimensional, non-convex, and time-coupled resource allocation problem in sixth-generation (6G) networks that existing heuristics and deep reinforcement learning (DRL) methods solve either slowly or...

Explainable Multi-Agent Task Scheduling in Vehicular Edge Computing Using Fuzzy Logic and Interpretable Deep Reinforcement Learning

Score-Guided Generative Diffusion for Energy-Efficient Resource Allocation in Multi-Cell 6G Edge Networks

Learned resource allocators for sixth-generation edge networks usually treat operational limits as penalties and may return infeasible decisions. This paper studies energy minimization in multi-cell uplink non-orthogonal multiple access mobile edge computing networks. Treating inter-cell interference as a receiver-side...

Cadaveric study of the ultrasound-guided erector spinae plane block over the dorsolateral edge of the transverse process of the ninth thoracic vertebra in dogs: transverse vs. longitudinal approach

Introduction Studies of the ultrasound-guided thoracic erector spinae plane (ESP) blocks in dogs are limited. This study aimed to describe a transverse (TV) ultrasound-guided ESP approach at the dorsolateral edge of the transverse process (DLETP) of T9, compare its distribution with a longitudinal (LNG) approach, and a...

Lightweight deep learning-based multicarrier modulation classification for UAV-assisted 5G communication systems

Purpose Unmanned aerial vehicle (UAV)–assisted communication leverages Automatic Modulation classification (AMC) to enhance wireless transmission efficiency. The classification of multicarrier modulation (MCM) signals is a critical component AMC, enabling robust signal demodulation and adaptive resource allocation. How...