edge computing

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

With the rapid advancement of quantum computing technology, IoT edge devices widely deployed in industrial settings are facing severe threats to their quantum-resistant security. This work focuses on the challenges of adapting Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) for resource-constrained e...

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

Closed-set evaluation is the most common method in Internet of Things (IoT) sensor network botnet attack detection research. In this setting, classifiers are tested only on attack families encountered during training. As a result, they often fail to detect genuinely new (zero-day) malware in real-world environments. Th...

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...

Editorial: Pests on the move: climate change and the shifting ecology of forest insects

Climate change is reshaping forest ecosystems by altering temperature regimes, precipitation patterns, disturbance processes, and interactions between insects and their host trees. Among the most dynamic and consequential biological responses are the shifts in geographic range, seasonal phenology, voltinism, overwinter...

Network analysis of the genetic relationships between twenty psychiatric and substance use disorders

Compared to standard factor analytic methods, network analyses can provide both confirmatory results and novel insights into the structure of genetic risks for a variety of psychiatric disorders.

LAB #2151 NEUTRAL: TG AUTO: New edge proposed: three_day_high_low_breakout_reversal — E8 Intelligence Research

IDEA: AUTO-FORWARDED from the Telegram/breakthrough stream (#771197, division=research, agent=gtx_scout): { "name": "three_day_high_low_breakout_reversal", "source": "Larry Williams' 'Long-Term Secrets to Short-Term Trading' (three-day high/low reversal pattern)", "type": "entry_engine", "rule": "If today's low is the...