Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Abdulhalim Dandoush"'
Illuminating Healthcare Management: A Comprehensive Review of IoT-Enabled Chronic Disease Monitoring
Autor:
Mir Sajjad Hussain Talpur, Abdul Ahad Abro, Mansoor Ebrahim, Irfan Ali Kandhro, Selvakumar Manickam, Shams Ul Arfeen Laghari, Abdulhalim Dandoush, Mueen Uddin
Publikováno v:
IEEE Access, Vol 12, Pp 48189-48209 (2024)
Present dynamic performance reputation and technical innovations in Internet of Things (IoT) technologies have endowed ultra-inexpensive, energy effcient, smart, and tiny IoT gadgets. IoT gadgets can be easily implanted inside, attached to, or placed
Externí odkaz:
https://doaj.org/article/d19e3bbd5ee344a28da654748eb5c012
Autor:
Irfan Ali Kandhro, Selvakumar Manickam, Kanwal Fatima, Mueen Uddin, Urooj Malik, Anum Naz, Abdulhalim Dandoush
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31488- (2024)
Skin cancer is a pervasive and potentially life-threatening disease. Early detection plays a crucial role in improving patient outcomes. Machine learning (ML) techniques, particularly when combined with pre-trained deep learning models, have shown pr
Externí odkaz:
https://doaj.org/article/eb5e6c19cb244d89910ff1616739d677
Unveiling the Metaverse: Exploring Emerging Trends, Multifaceted Perspectives, and Future Challenges
Publikováno v:
IEEE Access, Vol 11, Pp 87087-87103 (2023)
The metaverse, an emergent interconnected network that harmoniously merges digital and physical realities, represents a revolutionary paradigm in the computing realm, engendering a nexus of immersive, interactive experiences through user avatars. Thi
Externí odkaz:
https://doaj.org/article/6d4d1ae09d8546da934429c11d2cd83c
This paper surveys recent research on Federated Learning-based resource allocation for next-generation networks with the aim of identifying research gaps and potential directions for future work. We start by outlining the main challenges and requirem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4089fcc340a76e5504c4dbc7fb08cd23
https://doi.org/10.36227/techrxiv.22591852
https://doi.org/10.36227/techrxiv.22591852
5G/6G network slicing is identified as key enabler technology for allowing a diversity of sustainable applications while satisfying user’s requirements. A major problem of the traditional networking technologies is the use of the ”one size fits a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52395906a6e2ceb99e343cec0cf5822f
https://doi.org/10.36227/techrxiv.22581145
https://doi.org/10.36227/techrxiv.22581145
Recent advances in telecommunication and machine learning (ML) have allowed for new smart and autonomous vehicle applications to improve road safety, environmental conditions, and traffic management through Vehicle to Vehicle (V2V) or Vehicle to Infr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24684d98c47eba179442e9215cd70bd8
https://doi.org/10.36227/techrxiv.22559473
https://doi.org/10.36227/techrxiv.22559473
Publikováno v:
IEEE Transactions on Network and Service Management. 18:49-62
Today, the Network Slicing technology is massively addressed by the research community. However, Network Slice (NS) modelling details from Standards Developing Organizations (SDOs) are not yet well considered for End-to-End (E2E) NS implementations.
Publikováno v:
ICC 2022 - IEEE International Conference on Communications.
Autor:
Abdulhalim Dandoush, Lamine Amour
Publikováno v:
Electronics; Volume 11; Issue 7; Pages: 1011
In mobile networks, crowdsourcing in Quality of Experience (QoE) assessment phase involves collecting data from the user terminals or dedicated collection devices. A mobile operator or a research group may provide applications that can be run in diff
Publikováno v:
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).