Many vehicle applications requiring large capacity, minimal latency, and excellent
dependability are anticipated to be made possible by 5G. To help with this, 5G suggests …

The latest advances in Deeper Reinforcement Learning (DRL) have completely changed
how decision-making and automatic control issues are solved. The study community …

Network slices represent a valuable technique to utilize the full resources of fifth-generation
(5G) platforms. This allows verticals to control and utilize separate virtual systems on the …

Precise prediction of the heat transfer coefficients over complex geometries is critical for
bypassing expensive and time-consuming trial-and-error approaches in designing thermal …

Many countries have seen a steady increase in lifetime duration through the past many
years as a result of notable advancements in ecological and individual cleanliness, general …

The rise of innovative methods has increased the implementation of robotics into daily
existence. Improving human-robot interactions (HRI) to create customised relationships is …

The rising use of wireless interfaces necessitates effective spectral reuse, addressed here
through a novel Fuzzy Logic-inspired Enhanced Reinforced Learning (FL-eRL) technique …

In this study, we discuss how Wireless Sensor Networks (WSN) are susceptible to malicious
assaults from malfunctioning nodes, which jeopardise the security of data transmission in …

Maintaining image fidelity during transmission is challenging for live optical quantum image
transmission. This paper introduces a novel" Quantum-Inspired Adaptive Loss Detection and …

The digitisation of handwritten documents plays a crucial role in facilitating access, editing,
and long-term preservation of data. The Devanagari script, serving as a pillar for various …