Zobrazeno 1 - 10
of 1 689
pro vyhledávání: '"P. Galligan"'
Autor:
Blackwell, J., Krasny, M. J., O'Brien, A., Ashkan, K., Galligan, J., Destrade, M., Colgan, N.
Publikováno v:
Journal of Magnetic Resonance Imaging, 55 (2022) 389-403
Magnetic Resonance Imaging (MRI) has become a popular modality in guiding minimally invasive thermal therapies, due to its advanced, non-ionizing, imaging capabilities and its ability to record changes in temperature. A variety of MR thermometry tech
Externí odkaz:
http://arxiv.org/abs/2403.01219
We establish that a large, flexible class of long, high redundancy error correcting codes can be efficiently and accurately decoded with guessing random additive noise decoding (GRAND). Performance evaluation demonstrates that it is possible to const
Externí odkaz:
http://arxiv.org/abs/2310.10737
Publikováno v:
2023 IEEE Global Communications Conference (Globecom)
Guessing Random Additive Noise Decoding (GRAND) is a family of hard- and soft-detection error correction decoding algorithms that provide accurate decoding of any moderate redundancy code of any length. Here we establish a method through which any so
Externí odkaz:
http://arxiv.org/abs/2305.05777
We investigate the performance and characteristics of currently available VB and MCMC software to explore the practicability of available approaches and provide guidance for clinical practitioners. Two case studies are used to fully explore the metho
Externí odkaz:
http://arxiv.org/abs/2304.03733
Publikováno v:
Brain Stimulation, Vol 17, Iss 4, Pp 864-866 (2024)
Externí odkaz:
https://doaj.org/article/eb7be07884a4426f9d3be0d34af12a7c
Publikováno v:
Natural Language Processing Journal 2 (2023) 100003
Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to identify human intentions from their reviews. In the education sector, opinion mining is used to listen to student opinions and enhance their learning-teaching p
Externí odkaz:
http://arxiv.org/abs/2302.04359
Autor:
Ercan, Furkan, Galligan, Kevin, Starobinski, David, Medard, Muriel, Duffy, Ken R., Yazicigil, Rabia Tugce
Random jammers that overpower transmitted signals are a practical concern for many wireless communication protocols. As such, wireless receivers must be able to cope with standard channel noise and jamming (intentional or unintentional). To address t
Externí odkaz:
http://arxiv.org/abs/2301.09778
Autor:
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, Mcdonald, Jacquie, Redmond, Petrea, Galligan, Linda
Publikováno v:
IEEE Access, vol. 10, pp. 56720-56739, 2022
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many business and research domains. Machine learning, deep learning, and natural language processing (NLP) are subsets of AI to tackle different areas of dat
Externí odkaz:
http://arxiv.org/abs/2301.08826
Autor:
Ercan, Furkan, Galligan, Kevin, Duffy, Ken R., Medard, Muriel, Starobinski, David, Yazicigil, Rabia Tugce
Malicious attacks such as jamming can cause significant disruption or complete denial of service (DoS) to wireless communication protocols. Moreover, jamming devices are getting smarter, making them difficult to detect. Forward error correction, whic
Externí odkaz:
http://arxiv.org/abs/2210.04061
Autor:
Mohsen Tamtaji, Min Gyu Kim, Jun WANG, Patrick Ryan Galligan, Haoyu Zhu, Faan‐Fung Hung, Zhihang Xu, Ye Zhu, Zhengtang Luo, William A. Goddard III, GuanHua Chen
Publikováno v:
Advanced Science, Vol 11, Iss 26, Pp n/a-n/a (2024)
Abstract The design of high‐entropy single‐atom catalysts (HESAC) with 5.2 times higher entropy compared to single‐atom catalysts (SAC) is proposed, by using four different metals (FeCoNiRu‐HESAC) for oxygen reduction reaction (ORR). Fe activ
Externí odkaz:
https://doaj.org/article/93dcccc9bb13471a85fe0f739573d384