edge computing

I nternet of things and artificial intelligence‐based structural health monitoring and damage evaluation of concrete dams using vibration and vision analysis

Abstract The safety and durability of concrete gravity dams play an important role in providing the necessary resilience of water infrastructure systems. In order to provide reliable service of structure health monitoring (SHM) without and disruptions, we present a real‐time multi‐modal SHM system based on the applicat...

Editorial: Outstanding advances in veterinary diagnostic ultrasonography: novel milestones in disease detection, prediction, and treatment, volume II

Currently, ultrasonography (US) is widely used in a broad range of animals as an efficient diagnostic tool in veterinary practice. It exhibited superiority to radiography in visualizing the internal organs clearly and detecting diverse affections. This enabled precise assessment of the anatomy and function of various b...

A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoising

By uniting Shearlet transform-based directional perception with coordinate attention-driven spatial focusing, ShearFocusNet achieves an effective balance between noise reduction and detail preservation, and holds strong potential for advancing low-dose CT imaging in clinical practice.

ICT-Supported Scenario-Aware Adaptive Setting Method for Line Current Protection in Distribution Networks with High Proportion of Distributed Generation

INTRODUCTION: With the large-scale integration of distributed generators (DGs), distribution networks are gradually evolving into multi-source power supply systems. Although high-penetration DG integration improves system operational flexibility and power supply reliability, it changes fault current distribution charac...

Quantum-Resistant Security Technologies for Resource-Constrained Edge Devices: Challenges and Lightweight Countermeasures

This study indicates that lightweight algorithm design, hardware-software co-optimization, and tiered architectural deployment constitute a viable pathway for advancing IoT edge security into the quantum-safe era.

A Mobile-edge Smart-city Dashboard for AI-completed LiDAR Building Stocks: Normative-anchored Sustainability Triage Under a 300 KB Payload

Uncertainty-Aware Zero-Day Botnet Detection for IoT Networks with Real-World Edge Deployment on Resource-Constrained Hardware

This study evaluates a calibrated two-tier detection pipeline combining an XGBoost gradient-boosted tree classifier for known-class prediction with a Monte Carlo dropout multilayer perceptron (MLP) as an independent uncertainty estimator, under conditions closer to real deployment than most prior evaluations.

Federated Learning and Blockchain

Federated learning (FL) has emerged as a transformative framework in artificial intelligence, addressing escalating concerns around data privacy, security, and distributed computation. Unlike conventional centralized learning systems that require data aggregation, FL enables collaborative model training across multiple...

Your Navigator is Ableist: The Distorted Twin and Constitutional Topology of Sovereign Routing in Smart Cities

Abstract What happens when algebra usurps political power? Studies in digital mobility predominantly focus on utilitarian geometric route optimization. However, this paradigm overlooks the fact that navigation algorithms operate as concealed normative actors, thereby distributing the right to the city. Drawing upon a s...

Your Navigator is Ableist: The Distorted Twin and Constitutional Topology of Sovereign Routing in Smart Cities

Abstract What happens when algebra usurps political power? Studies in digital mobility predominantly focus on utilitarian geometric route optimization. However, this paradigm overlooks the fact that navigation algorithms operate as concealed normative actors, thereby distributing the right to the city. Drawing upon a s...

Replication Package for the Master's Thesis: Integrating Structural and Semantic Analysis for Code Smell Refactoring Prediction

This repository contains the official replication package, automation scripts, and machine learning pipelines developed for the Master's Thesis: "Integrating Structural and Semantic Analysis for Code Smell Refactoring Prediction" (Università degli Studi di Milano-Bicocca, 2026). The project bridges traditional static c...

Replication Package for the Master's Thesis: Integrating Structural and Semantic Analysis for Code Smell Refactoring Prediction

This repository contains the official replication package, automation scripts, and machine learning pipelines developed for the Master's Thesis: "Integrating Structural and Semantic Analysis for Code Smell Refactoring Prediction" (Università degli Studi di Milano-Bicocca, 2026). The project bridges traditional static c...