AI for next generation computing: Emerging trends and future directions
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
Quantum computing: A taxonomy, systematic review and future directions
Quantum computing (QC) is an emerging paradigm with the potential to offer significant
computational advantage over conventional classical computing by exploiting quantum …
computational advantage over conventional classical computing by exploiting quantum …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
[HTML][HTML] Futuristic view of the internet of quantum drones: review, challenges and research agenda
The disruptive technology of unmanned aerial vehicles (UAVs), or drones, is a trend with
increasing applications and practical relevance in the current and future society. Despite the …
increasing applications and practical relevance in the current and future society. Despite the …
Large language models for uavs: Current state and pathways to the future
Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …
diverse sectors, offering adaptable solutions to complex challenges in both military and …
Aerial: A meta review and discussion of challenges toward unmanned aerial vehicle operations in logistics, mobility, and monitoring
There exists a tremendous number of research surveys on various aspects of UAV logistics,
mobility and monitoring tasks in the literature. These surveys have been published in distinct …
mobility and monitoring tasks in the literature. These surveys have been published in distinct …
Demystifying quantum blockchain for healthcare
The healthcare industry and the battle against the COVID‐19 pandemic are two areas where
blockchain technology might be useful. In this study, blockchain's significance is examined …
blockchain technology might be useful. In this study, blockchain's significance is examined …
Land registry framework based on self-sovereign identity (SSI) for environmental sustainability
Providing a system user with a unique and secure identity is a prerequisite for authentication
and authorization aspects of a security system. It is generally understood that the existing …
and authorization aspects of a security system. It is generally understood that the existing …
[PDF][PDF] Vehicle detection and tracking in UAV imagery via YOLOv3 and Kalman filter
Unmanned aerial vehicles (UAVs) can be used to monitor traffic in a variety of settings,
including security, traffic surveillance, and traffic control. Numerous academics have been …
including security, traffic surveillance, and traffic control. Numerous academics have been …