edge computing

Self-organizing memristive networks as physical learning systems

Graph neural network-based service migration decision in vehicular networks

Abstract The rapid development of the Internet of Vehicles (IoV) has led to an exponential increase in the number of latency sensitive and computationally intensive tasks. Due to the limitations of onboard computing resources in vehicles, offloading these tasks generated during vehicle operation to a remote cloud for p...

Machine learning and remote sensing for smallholder precision agriculture in Ethiopia

While machine learning (ML) and remote sensing (RS) are frequently heralded as the definitive solutions for agricultural resilience in Sub-Saharan Africa, a profound ‘implementation gap’ persists between laboratory-validated computational maturity and field-level utility for smallholder farmers. This systematic review,...

Enabling Technologies

Ambient Intelligence (AmI) is a new vision of human–technology interaction enabling digital environments to be reactive, adaptable, and attentive to the needs of individuals. The symbiotic complementary roles of four facilitating technologies Internet of Things (IoT), Artificial Intelligence (AI), Edge Computing, and C...

A unified unsupervised framework of multi-modal image super resolution and fusion via implicit neural representation

With the rise of dual-mode therapy and imaging, it is still challenging to accurately and precisely monitor structural organs during therapy. We present a self-supervised implicit neural representation (INR) framework to solve multi-modal image super resolution (MIR) and image fusion (MIF) for image guidance in therapy...

A self-powered and self-sensing multi-joint wearable energy harvester with lightweight edge-deployable CNN for real-time lower-limb kinematics and motion mode recognition

With the global aging population, continuous monitoring of daily activities is increasingly important for rehabilitation and health assessment. However, conventional wearable devices are plagued by insufficient energy self-sufficiency, limiting their practical application in long-term activity monitoring. In this work,...

GAN-Assisted joint computation-communication slice orchestration for 5 G/6 G cloud-edge networks

Network slicing and multi-access edge computing (MEC) require coordinated bandwidth and edge-computing allocation under bursty demand. This paper presents Generative Adversarial Network (GAN)-assisted Joint Computation-Communication Slice Orchestration (GAN-JCSO), which combines conditional demand sampling with queue c...

A Survey of Fault Tolerance Techniques in Distributed Computing Environments

Distributed computing platforms underpin modern cloud services, edge computing deployments, and high-performance computing systems. As these systems scale and become increasingly heterogeneous, failures such as hardware faults, software defects, network partitions, and transient errors become unavoidable. Fault toleran...

ElastoGraph: An Open-Source Algorithmic Framework for the Topological Assessment of Molecular Stiffness Applied to Polysaccharide Networks

The prediction of mechanical properties at the molecular scale relies on matrix-based approaches, such as the diagonalization of large Hessian matrices in elastic network models (ENMs) or molecular dynamics (MD) simulations. These methods exhibit O(N3) computational complexity and map molecular connectivity to macrosco...

Role of Additive Manufacturing in Industry 4.0

The convergence of Additive Manufacturing (AM) and the Industrial Internet of Things (IIoT) is reshaping industrial production by combining design flexibility with real-time connectivity and intelligence. AM provides layer-by-layer fabrication that supports rapid prototyping, mass customisation, and material efficiency...

Research on Target Recognition and 3D Reconstruction Technology for Distribution Network Patrol Based on BeiDou and Edge Computing

INTRODUCTION: Power transmission and distribution lines operate in complex natural and electromagnetic environments, making them susceptible to risks such as tree encroachment, ice accumulation, insulator damage, and foreign object interference. Traditional inspection methods, including manual patrols and helicopter su...

Analytical topological bounds and favorable elastic paths in discrete molecular networks

The mechanical response of discrete networks is fundamentally governed by their underlying connectivity. While traditional matrix-based approaches successfully capture global mechanical responses, their utility is delimited by an 𝒪(𝑁3)computational cost that limits direct access to specific topological pathways and loc...