[HTML][HTML] Vision and research directions of 6G technologies and applications
Abstract Fifth-generation (5G) mobile communication technology is now widely available in
several countries, with millions of 5G customers. Therefore, it's time for academia and …
several countries, with millions of 5G customers. Therefore, it's time for academia and …
Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …
interaction, and the adoption of telehealth. Technological innovations can improve …
[HTML][HTML] Exploring the role of 6G technology in enhancing quality of experience for m-health multimedia applications: A comprehensive survey
Mobile-health (m-health) is described as the application of medical sensors and mobile
computing to the healthcare provision. While 5G networks can support a variety of m-health …
computing to the healthcare provision. While 5G networks can support a variety of m-health …
6G driven fast computational networking framework for healthcare applications
New Sixth-generation (6G) networks rely heavily on the Intelligence Internet of Things (IIoT)
to store and process data more efficiently. 6G is desired to offer ultra-low latency, high …
to store and process data more efficiently. 6G is desired to offer ultra-low latency, high …
Metaverse assisted telesurgery in healthcare 5.0: An interplay of blockchain and explainable AI
Smart healthcare has transitioned towards health-care 5.0, which allows ambient tracking of
patients, emotive telemedicine, telesurgery, wellness monitoring, virtual clinics, and …
patients, emotive telemedicine, telesurgery, wellness monitoring, virtual clinics, and …
6G and Intelligent Healthcare: Taxonomy, technologies, open issues and future research directions
ABSTRACT A decentralized patient-centric paradigm is gradually replacing the traditional
hospital and specialist-focused healthcare model. Communication technologies have made …
hospital and specialist-focused healthcare model. Communication technologies have made …
A survey on semantic communications for intelligent wireless networks
Research on intelligent wireless network aims at the development of a human society which
is ubiquitous and mobile, simultaneously providing solutions to the coverage, capacity, and …
is ubiquitous and mobile, simultaneously providing solutions to the coverage, capacity, and …
TinyML: Tools, applications, challenges, and future research directions
R Kallimani, K Pai, P Raghuwanshi, S Iyer… - Multimedia Tools and …, 2024 - Springer
Abstract In recent years, Artificial Intelligence (AI) and Machine learning (ML) have gained
significant interest from both, industry and academia. Notably, conventional ML techniques …
significant interest from both, industry and academia. Notably, conventional ML techniques …
A review of machine learning and tinyml in healthcare
Healthcare is the field that can benefit from the large amount of raw data generated from
portable and wearable devices. This data must be sent to the Cloud for processing due to …
portable and wearable devices. This data must be sent to the Cloud for processing due to …
[HTML][HTML] AI-enabled framework for fog computing driven e-healthcare applications
Artificial Intelligence (AI) is the revolutionary paradigm to empower sixth generation (6G)
edge computing based e-healthcare for everyone. Thus, this research aims to promote an AI …
edge computing based e-healthcare for everyone. Thus, this research aims to promote an AI …