With the widespread deployment of dense Low Earth Orbit (LEO) constellations, satellites can serve as an alternative solution to the lack of proximal multi-access edge computing (MEC) servers for mobile Internet of Things (IoT) devices in remote …

In order to solve the problem of false detection of the moving liquid level caused by the vibration of the constant temperature water bath, this paper combines the Type-2 Fuzzy Gaussian Mixture Model (T2-FGMM) and Markov Random Field (MRF) to …

In this paper, a secure uplink non-orthogonal multiple access (NOMA) internet of things (IoT) system using an energy harvesting (EH) unmanned aerial vehicle (UAV) is studied. The communication protocol includes three phases: The first phase is an …

Wireless Capsule Endoscopy (WCE) is the preferred technology for the diagnosis and evaluation of small bowel disorders. The concluding WCE video comprises as many as 150,000 images. Within this extensive collection of images, the majority are …

Cancer is a life-threatening disease and has witnessed a substantial increase during the past few years. With a further expected increase in the future, it poses a huge challenge for the medical industry to design accurate detection approaches.

In Mobile Ad-hoc Network (MANET), a source node relies on other nodes to multipath packets to the destination. In Ad-hoc NN-TC Model (Neighbour Node-based Trust Calculation) protocol, malicious nodes make data security between source and …

In the ultra-reliable, low-latency next-generation mobile network (beyond 5G or 6G), a resource-constrained unmanned aerial vehicle (UAV) user needs continuous energy-providing and mobile edge computing (MEC) facilities. In this study, we deploy …

Surveillance video analysis using automated AI-based techniques is a prominent research field with real-world applications. Several techniques aiming at recognizing activities, behaviour, and violent actions are present in literature. Real-world …

The quality of life and the development of urban areas are impacted by traffic-related issues. The delayed response of priority and emergency vehicles, such as police cars and ambulances, jeopardizes public safety and well-being. Further, repeated …

The number of terminal devices has skyrocketed along with the quick growth of cognitive radio networks. Massive equipment produce a lot of data that should not be shared, often WiFi signals. The radio frequency (RF) fingerprint identification …

The application of machine learning technology for invasive diabetes diagnosis has become a research trend in medical sectors in recent years. In this research, we utilize the Raman spectroscopy of glucose fluid sample to detect the glucose level.

With the rapid development of next-generation wireless communications, there is a growing demand for high-quality integrated circuits (ICs), particularly analog ICs, which play a pivotal role for the full roll-out sixth-generation (6G) technology.

This paper proposes a comparative analysis of fractal antennas with a height of 1.6 mm for use in multiple bands; simulation results show that the gain of the proposed antenna is increased to 5 dBi. The proposed antenna covers high gain …

Accurate positioning in the constrained environment of Global Navigation satellite Systems (GNSS) is a challenging problem, especially in resource-constrained urban canyon environments. In order to incentivize collaborative agency, this paper …

The Internet of Things (IoT) and smart technologies perform a vital role in gathering data to facilitate extreme environments. These systems offer an autonomous management of real-time multimedia activities and are integrated with future networks.

In addition to a large amount of text, there are also many emoticons in the comment data on social media platforms. The multimodal nature of online comment data increases the difficulty of sentiment analysis. A big data sentiment analysis …

In the rapidly evolving landscape of wireless communication systems, the vulnerability of automatic modulation classification (AMC) models to adversarial attacks presents a significant security challenge. This study introduces a pruning and …

The Handwritten Mathematical Expression Recognition (HMER) task aims to generate corresponding LATEX sequences from images of handwritten mathematical expressions. Currently, the encoder-decoder architecture has made significant progress in this …

Federated Learning (FL) revolutionizes data processing in mobile networks by enabling collaborative learning without data exchange. This not only reduces latency and enhances computational efficiency but also enables the system to adapt, learn and …

Cognitive Internet of Things (CIoT) is a new subfield of the Internet of Things (IoT) that aims to integrate cognition into the IoT's architecture and design. Various CIoT applications require techniques to inevitably extract …