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 …
A systematic review on machine learning and deep learning models for electronic information security in mobile networks
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …
tremendous volume of data being generated. Most of our information is part of a widespread …
A taxonomy of AI techniques for 6G communication networks
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
Edge computing and its role in Industrial Internet: Methodologies, applications, and future directions
Abstract Proliferation of Industrial Internet has dramatically changed the way we live and
work. It brings convenience to our society and sometimes requires real-time processing of …
work. It brings convenience to our society and sometimes requires real-time processing of …
Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions
M Mahbub, RM Shubair - Journal of Network and Computer Applications, 2023 - Elsevier
With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
[PDF][PDF] Design and development ai-enabled edge computing for intelligent-iot applications
D Sivaganesan - Journal of trends in Computer Science and …, 2019 - scholar.archive.org
The advancements in the technologies and the increase in the digital miniaturization day by
day are causing devices to become smarter and smarter and the emergence of the internet …
day are causing devices to become smarter and smarter and the emergence of the internet …
Cooperative computational offloading in mobile edge computing for vehicles: A model-based dnn approach
Many advancements are being made in vehicular networks, such as self-driving, dynamic
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle
Abstract The European Union (EU) Commission's whitepaper on Artificial Intelligence (AI)
proposes shaping the emerging AI market so that it better reflects common European values …
proposes shaping the emerging AI market so that it better reflects common European values …
Market analysis of MEC-assisted beyond 5G ecosystem
The quality-of-service (QoS)/quality-of-experience (QoE) demands of mobile services are
soaring and have overwhelmed the obsolescent capability of 3G and 4G cellular networks …
soaring and have overwhelmed the obsolescent capability of 3G and 4G cellular networks …
A hybrid deep learning model using CNN and K-Mean clustering for energy efficient modelling in mobile EdgeIoT
In mobile edge computing (MEC), it is difficult to recognise an optimum solution that can
perform in limited energy by selecting the best communication path and components. This …
perform in limited energy by selecting the best communication path and components. This …