This paper presents a comparative analysis of various segmentation methods for extracting tall vegetation objects from LiDAR data, including clustering-based methods, voxelization strategies, and Canopy Height Model (CHM)-based segmentation.

Efficient spectrum coordination between non-terrestrial and terrestrial networks (NTNs and TNs) is essential to satisfy the throughput and latency targets of next-generation wireless systems. This paper presents LEDSM, a …

Sixth-generation (6G) mobile communication systems provide substantial challenges for legal communication security and covertness because of the intricacy of communication equipment and the vulnerability of wireless signals to information leakage.

Smart agriculture is based on the concrete implementation of industrial technology arising from recent research and development in the sciences. Through an interdisciplinary combination of traditional agriculture and emerging technologies, the …

Enhanced External Counterpulsation (EECP) is a proven effective treatment for cardiovascular diseases, yet its use is limited in patients with arrhythmias due to the therapy’s reliance on precise cardiac cycle synchronization. This paper proposes …

Mobile Edge Computing (MEC) is capable of inheriting cloud and Internet of Things (IoT) resources to the brim of the computational and communication networks. Conservatively, the MEC is outsourced from the IoT/ cloud platforms to Maximize the …

The Quality of Experience (QoE) refers to the smooth transition of videos without any buffering events or quality shifts. Quality shift refers to the change in quality during a streaming session, for example, when streaming in HD 1080 suddenly …

The study presents a comprehensive scientometric and systematic literature analysis of Digital Twin (DT) technologies integrated with wireless connectivity from 1G to 6G, spanning four key domains: Intelligent Transportation, Wireless Networks …

As a new kind of intelligent vehicle, Connected and Automated vehicles (CAVs) can provide more convenient service by exchanging data with other vehicles and roadside units. Despite all kinds of foreseeable advantages, CAVs rely heavily on the …

Frequency-hopping (FH) communication, widely utilized in both military and civilian applications, offers robust anti-jamming capabilities and low probability of interception. However, its non-stationary nature and susceptibility to noise …

The rapid proliferation of Internet of Things (IoT) technologies has significantly transformed various industrial sectors, creating an urgent demand for effective real-time data analysis and service delivery. This paper addresses the critical …

With the evolution of 5G-Advanced and 6G technologies, wireless communication environments are becoming increasingly complex, and automatic modulation classification (AMC) has become a key technology to enhance spectral efficiency and guarantee …

The rapid expansion of 5G mobile communications has led to an explosion of multimedia data traffic and reception, posing a significant challenge to cloud computing systems to process and manage data over limited bandwidth efficiently. Workflow …

With the rapid deployment of 5G technology, industries are increasingly turning to private 5G networks to support mission-critical applications such as smart manufacturing, healthcare, and autonomous systems. While these networks offer enhanced …

The rapid development of 5G/6G mobile communication and the proliferation of smart mobile devices have led to a surge in the number of Mobile Communication Network (MCN) devices and communication demands, creating a shortage of spectrum resources.

This paper develops an energy-aware mobile edge computing (MEC) framework integrated with cell-free massive MIMO (CF-mMIMO) for dense-user scenarios. We formulate a joint resource-allocation problem that targets worst-user latency (min-max) under …

With the evolution of 5G and the emerging 6G networks, Virtual Network Embedding (VNE) plays a critical role in enabling network slicing, ultra-low latency, and dynamic, multi-tenant resource sharing over a common physical infrastructure. However …

With the increasing prevalence of chronic diseases, global public health systems are facing unprecedented challenges, prompting active exploration of innovative health management solutions powered by artificial intelligence (AI). In recent years …

The aim of this paper is to propose a new image data set for assessing the quality of solutions to machine learning tasks, in particular, deep neural networks. The data set is derived from X-ray images of wheat grains, in which three species …

Uncrewed aerial vehicles (UAV(s)) are emerging as agile non-terrestrial network (NTN) nodes that extend 5G/6G coverage to remote farms, disaster zones, and shipping lanes. However, on-board ML models carried by UAV(s) degrade under concept drift …