edge computing

Semantic-Aware Cooperative Edge Computing in UAV-Assisted Vehicular IoT

Driven by the ongoing advancement of intelligent transportation systems (ITSs), conventional vehicular networks have rapidly evolved into a data-intensive vehicular Internet of Things (IoT) ecosystem. However, relying on traditional bit-level offloading in unmanned aerial vehicle (UAV)-assisted IoT networks creates sev...

Two-Dimensional Memristors: Materials, Switching Physics, Architectures, and Computing Applications

SPARCD: a multi-objective cooperative scheduling framework for vehicular edge computing

This paper innovatively proposes a scheduling framework called SPARCD that integrates lightweight position prediction mechanisms, action masking mechanisms, and state filling techniques to construct a multi-objective scheduling model that jointly optimizes task latency, energy consumption, and reliability.

Two-Stage Game-Theoretic Resource Allocation for Satellite-Assisted Low-Altitude Networks

Low-altitude aerial wireless networks (LAWNs) enabled by uncrewed aerial vehicles (UAVs) can provide proximity access and edge computing for delay-sensitive Internet of Things (IoT) services, but they face fast channel variation, mobility-induced service degradation, and limited terrestrial support. This article studie...

MotifTrace: multi-stage attack investigation via automated stage discovery and path reconstruction on provenance graphs

Abstract Multi-stage cyber attacks spanning extended periods pose significant challenges for security investigation, as analysts must reconstruct the complete attack sequence from voluminous system audit logs. Existing provenance graph-based investigation methods either rely on predefined attack knowledge to map activi...

TORE-NET: A Task Replication and Offloading Strategy in Reliable and Energy-Efficient Mobile Edge Computing Networks

The rapid growth of Internet of Things (IoT) devices and the demands of ultrareliable low-latency communications (URLLCs) necessitate the deployment of mobile edge computing (MEC). Although MEC can reduce transmission delays and network congestion, its decentralization and processing load create challenges for energy e...

DRL-Based Joint Task Processing and Resource Allocation for Remote Sensing in Vehicle-Device-Edge Collaborative Networks

Remote sensing is a key enabling technology for intelligent vehicle and transportation systems, as it acquires environmental and traffic data beyond the vehicle’s visual range. However, in practical scenarios, the lack of flexible collaboration between sensing nodes and computing facilities leads to low efficiency in t...

Attention-enhanced YOLOv8n-CLS for lightweight and efficient tomato leaf disease classification

Introduction Tomato leaf diseases substantially reduce crop yield and fruit quality, creating a need for accurate, computationally efficient, and potentially deployable image-based disease-screening systems for precision agriculture. This study presents an Attention-Enhanced YOLOv8n-CLS framework for tomato leaf diseas...

Task offloading analysis using hybrid RSMA-TDMA for UAV-assisted MEC with AmBC in IoT network

Driven by their outstanding capabilities in enhancing energy and spectral efficiencies, ambient backscatter communication (ABC) and rate-splitting multiple access (RSMA) have emerged as pivotal technologies for future wireless networks. This paper develops a novel hybrid RSMA-TDMA framework tailored for unmanned aerial...

Anti-Dual Vector Foil H: Fiber Pricing of Condensation–Suturing Composition—Order-Difference Bits, Injection Elimination, and Existential-Level Exchangeability

In the pricing matrix of pairwise compositions of the five basic operators of dimensional surgery—condensation (dimension reduction), dimension raising, suturing, phase transition, and annihilation—the deviation of dimension raising–suturinghas already been fixed as interface fiber information, and condensation–annihil...

Phi‑Modulated Synthetic Gauge Fields in E8 Lattices Induce Chiral Zero‑Mode Currents for Fault‑Tolerant Quantum Computing — E8 Intelligence Research

By superimposing a time‑dependent phi‑scaled vector potential on the 132 Hz‑tuned E8 root‑vector lattice, we engineer synthetic gauge fields whose flux quanta lock to the φ³ and 1/φ³ harmonic intervals identified in the phase‑conjugate resonance channels. These fields split the degenerate zero‑energy manifold of the 67...

DIGITAL TWINS FOR HARDWARE-IN-THE-LOOP MODELING OF MOBILE MEDICAL DIAGNOSTIC SYSTEMS

The rapid development of mobile medical diagnostic systems, wearable sensors, the Internet of Medical Things, edge computing, and artificial intelligence enables a transition from episodic physiological measurements toward continuous personalized patient monitoring. At the same time, increasing hardware-software comple...