Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Ammar Hawbani"'
Autor:
Saeed Hamood Alsamhi, Ammar Hawbani, Santosh Kumar, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque, Farhan M. A. Nashwan, Liang Zhao, Edward Curry
Publikováno v:
IEEE Access, Vol 12, Pp 112637-112658 (2024)
Recently, there has been more interest in Decentralized Data-Sharing (DDS) because of the introduction of Dataspace 4.0. DDS is becoming increasingly popular as a safe, open, and effective way for many parties to data-sharing. Unlike conventional, ce
Externí odkaz:
https://doaj.org/article/818a7ce77950458284c4ae827709a58f
Publikováno v:
IEEE Access, Vol 12, Pp 75657-75677 (2024)
Multisensory Metaverse applications ignite a revolution across industries, captivating audiences with immersive experiences. With the impending release of 6G technology, the stage is set for an extraordinary advancement toward an even higher level of
Externí odkaz:
https://doaj.org/article/0383d31598d6476a870d4c217384d080
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 34, Iss 1, Pp 19-https://youtu.be/knGoPEwiEFs (2023)
With the rise of computing-intensive applications like online gaming and telemedicine on user equipment (UE) and the evolution of 5G technology, there is a surge in demand for greater computing resources and power. Yet, UEs have limited resources and
Externí odkaz:
https://doaj.org/article/6fb26dc762d64563a71bb94e7464614a
Autor:
Samah Ahmed Abdel Aziz, Ammar Hawbani, Xing-Fu Wang, Abdelrahman Samy, Talaat Abdelhamid, Ismail Maolood, Saeed Hamood Alsamhi
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 34, Iss 1, Pp 26-https://youtu.be/uBV2NotfHbY (2023)
Intensity inhomogeneity is a significant issue in magnetic resonance imaging (MRI), where the presence of bias field causes distortions in pixel values, resulting in inconsistent and erroneous intensities across the image. This artifact not only hamp
Externí odkaz:
https://doaj.org/article/c5711e1caae642c2bebdace5e8f08166
Autor:
Alexey V. Shvetsov, Saeed Hamood Alsamhi, Ammar Hawbani, Santosh Kumar, Sumit Srivastava, Sweta Agarwal, Navin Singh Rajput, Amr A. Alammari, Farhan M. A. Nashwan
Publikováno v:
IEEE Access, Vol 11, Pp 130860-130887 (2023)
The combination of drones and Intelligent Reflecting Surfaces (IRS) have emerged as potential technologies for improving the performance of six Generation (6G) communication networks by proactively modifying wireless communication through smart signa
Externí odkaz:
https://doaj.org/article/86553b65eb2947649de6f7ee9e22d68b
Publikováno v:
Advances in Human-Computer Interaction, Vol 2023 (2023)
The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative shift towards a more resilient future, particularly concerning pandemic preparedness. Within this context, Healthcare 5.0 signifies a holistic approach to health
Externí odkaz:
https://doaj.org/article/1da54570f165421cbe21725917a7e27f
Publikováno v:
IET Communications, Vol 15, Iss 18, Pp 2285-2299 (2021)
Abstract Wireless sensor networks (WSNs) are critically resource‐constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and narrow communication bandwidth. The data reduction technique is one of the most wid
Externí odkaz:
https://doaj.org/article/953a88b40dc14a39ab2efb77ca65d42c
Publikováno v:
Sensors, Vol 23, Iss 6, p 2976 (2023)
In deeper layers, ResNet heavily depends on skip connections and Relu. Although skip connections have demonstrated their usefulness in networks, a major issue arises when the dimensions between layers are not consistent. In such cases, it is necessar
Externí odkaz:
https://doaj.org/article/9a3e3452ab0d4457921455624a299a7b
Publikováno v:
IEEE Access, Vol 8, Pp 41085-41099 (2020)
Wireless Body Area Network (WBAN) is a promising cost-effective technology for the privacy confined military applications and healthcare applications like remote health monitoring, telemedicine, and e-health services. The use of a Software-Defined Ne
Externí odkaz:
https://doaj.org/article/be57d9c77e544768b92e1fc827ef4595
Publikováno v:
IEEE Access, Vol 8, Pp 139023-139032 (2020)
Convolution is good at extracting per-frame representations but discards the temporal order. Most previous Convolution Neural Network (CNN) based video action tracking handle space and time dynamics separately. To remedy this issue, we extend the con
Externí odkaz:
https://doaj.org/article/730ada7b0e8745b39b2cf33916734954