Machine learning (ML) has a well-established reputation for successfully enabling
automation through its scalable predictive power. Industry 4.0 encapsulates a new stage of …

Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

Small and medium-sized enterprises (SMEs) often encounter practical challenges and
limitations when extracting valuable insights from the data of retrofitted or brownfield …

Packet loss is a major problem for wireless networks and has significant effects on the
perceived quality of many internet services. Packet loss models are used to understand the …

Since the advent of the Internet, there has been a significant shift from wired to wireless
communication between devices. The volume of data transmitted has surged, primarily …

Reflective practice holds critical importance, for example, in higher education and teacher
education, yet promoting students' reflective skills has been a persistent challenge. The …

Purpose The rapid rise of large language models (LLMs) has propelled them to the forefront
of applications in natural language processing (NLP). This paper aims to present a …

Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of
applications. In this paper, a thorough examination of the research landscape in GAI is …

Neuro-WiFi, as a non-physical connection-related neural network that efficiently links
various regions of the brain, facilitates swift transfer of information and fostering …

In today's digital era, our lives are deeply intertwined with advancements in digital
electronics and Radio Frequency (RF) communications. From cell phones to laptops, and …