A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

Edge intelligence: The confluence of edge computing and artificial intelligence

S Deng, H Zhao, W Fang, J Yin… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …

Edge computing for autonomous driving: Opportunities and challenges

S Liu, L Liu, J Tang, B Yu, Y Wang… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

TinyML for ultra-low power AI and large scale IoT deployments: A systematic review

N Schizas, A Karras, C Karras, S Sioutas - Future Internet, 2022 - mdpi.com
The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

A survey on edge computing systems and tools

F Liu, G Tang, Y Li, Z Cai, X Zhang… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, the edge computing
systems integrate computing, storage, and network resources at the edge of the network to …

6G white paper on edge intelligence

E Peltonen, M Bennis, M Capobianco… - arXiv preprint arXiv …, 2020 - arxiv.org
In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and
beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning …

A survey on deep transfer learning to edge computing for mitigating the COVID-19 pandemic

A Sufian, A Ghosh, AS Sadiq… - Journal of Systems …, 2020 - Elsevier
Global Health sometimes faces pandemics as are currently facing COVID-19 disease. The
spreading and infection factors of this disease are very high. A huge number of people from …

New opportunities, challenges, and applications of edge-AI for connected healthcare in smart cities

MM Kamruzzaman - 2021 IEEE Globecom Workshops (GC …, 2021 - ieeexplore.ieee.org
Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), edge …