edge computing

Shelterbelts: A Python library for characterising farmland tree groups and their influence on nearby pasture and cropland

Shelterbelts is an open source Python library for mapping and categorising groups of trees in agricultural landscapes, and the corresponding shelter provided to nearby pixels based on the wind direction or density of tree cover. Starting from a binary tree raster, pixels are labelled into ecologically meaningful catego...

A Multi-Patient Brain CT Dataset for Edge-AI-Enabled Intracranial Hemorrhage Detection on Raspberry Pi

This dataset comprises 852 multi-angle brain Computed Tomography (CT) scan images collected across multiple patients presenting with intracranial hemorrhage (ICH), structured to support rapid computer-aided diagnosis and edge computing research. All images are standardized in PNG format and indexed by individual patien...

Ai-Enabled Digital Twins for Proactive Fault Prediction and Self-Healing in Distributed Cloud–Edge Systems: A Conceptual Framework

Distributed cloud–edge systems support modern applications by combining centralised cloud infrastructure with computing resources located near data sources. Despite their advantages, these environments remain vulnerable to hardware faults, software failures, network disruptions, resource contention, and changing worklo...

Securing real-time traffic analytics with a privacy-preserving edge and cloud computing framework

The recent demand for real-time traffic management in urban environments has led to the adoption of edge and cloud computing, which improve the efficiency, scalability, and security of traffic analytics. Nevertheless, the privacy and confidentiality of traffic data remain important issues. In this study, a privacy-sens...

Trustworthy AI for Sustainable Cities: A Multimodal Orchestration Agent-Based Framework for Civic Compliance

Sustainable municipal resource stewardship requires a harmonized artificial intelligence (AI) architecture that aligns technical performance with human-centered behavioral dynamics. Traditional smart city enforcement frameworks frequently trigger psychological reactance and perceptual failure in noisy, crowded urban sp...

Diagnóstico Preditivo Avançado em Motores Industriais via Análise de Fluxo Magnético: Fundamentação Não-Cinética e Processamento na Borda (Edge Computing)

A manutenção preditiva tradicional, amplamente baseada na análise de vibração piezoelétrica, atua de forma reativa: o diagnóstico ocorre apenas quando o dano mecânico macroscópico já está instalado no equipamento. Este trabalho propõe e fundamenta matematicamente uma mudança de paradigma para o diagnóstico de máquinas...

Edge Computing vs. Cloud Computing: Which is the Future?

As businesses strive to improve efficiency, reduce latency, and leverage the power of data, understanding the strengths and limitations of these two computing paradigms is crucial. Full article: https://davidohnstad.com/edge-computing-vs-cloud-computing-which-is-the-future/

HCC-YOLO: A Lightweight Multilevel Feature Fusion Algorithm for Road Damage Detection

Abstract In order to overcome the limitation of traditional road damage detection algorithms such as single detection type, real-time, and lightweight scenarios, a lightweight multilevel feature fusion algorithm HCC-You Only Look Once (HCC-YOLO) is proposed in this paper. First, improved HGNetv2 is adopted as a backbon...

Short-Term Solar Power Forecasting Based on Pruning-Optimized Temporal Convolutional Networks for Edge Deployment

Accurate multi-horizon solar power forecasting is vital for modern power distribution networks, yet standard deep learning models face limitations due to weather stochasticity and prohibitive computational requirements on resource-constrained edge devices. To address these issues, this paper proposes a Physics-Informed...

A high-throughput adaptive sharding algorithm for IoT blockchain based on DAG and edge computing

Unfolding the Fintech Revolution: A Decade of Innovation, Financial Inclusion and Regulatory Challenges

Financial Technology or fintech marks a paradigm shift in financial services by integrating artificial intelligence, blockchain, cloud computing and big data analytics to revolutionize traditional banking, lending, payments, insurance, and investments. This narrative review traces fintech&s;s evolution from 2015–2025,...

Autonomous Traffic Control System (ATCS v2.0) for Low Earth Orbit Debris Mitigation: 12.5-ms Hardware-in-the-Loop Multi-Objective Optimization, Post-Quantum Cryptographic Governance (ML-KEM-768 / Decoy-State QKD), Q-SAFA Self-Executing Orbital Circular Economy, and Isomorphic Pedagogical Communication

The exponential proliferation of mega-constellations in Low Earth Orbit (LEO) has completely surpassed the operational limits of legacy ground-based, Human-in-the-Loop Space Traffic Management (STM). According to the European Space Agency (ESA) Space Environment Report 2026, more than 300 rocket launches injected over...