Zobrazeno 1 - 10
of 12 826
pro vyhledávání: '"Shuaib, A"'
Autor:
Venugopalan, Hari, Munir, Shaoor, Ahmed, Shuaib, Wang, Tangbaihe, King, Samuel T., Shafiq, Zubair
As browser fingerprinting is increasingly being used for bot detection, bots have started altering their fingerprints for evasion. We conduct the first large-scale evaluation of evasive bots to investigate whether and how altering fingerprints helps
Externí odkaz:
http://arxiv.org/abs/2406.07647
Autor:
Rawat, Abhay, Dokania, Shubham, Srivastava, Astitva, Ahmed, Shuaib, Feng, Haiwen, Tallamraju, Rahul
Recent advancements in generative models have unlocked the capabilities to render photo-realistic data in a controllable fashion. Trained on the real data, these generative models are capable of producing realistic samples with minimal to no domain g
Externí odkaz:
http://arxiv.org/abs/2406.07840
Autor:
Shuaib, Haris, Barker, Gareth J, Sasieni, Peter, De Vita, Enrico, Chelliah, Alysha, Andrei, Roman, Ashkan, Keyoumars, Beaumont, Erica, Brazil, Lucy, Rowland-Hill, Chris, Lau, Yue Hui, Luis, Aysha, Powell, James, Swampillai, Angela, Tenant, Sean, Thust, Stefanie C, Wastling, Stephen, Young, Tom, Booth, Thomas C
Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common i
Externí odkaz:
http://arxiv.org/abs/2405.05980
Autor:
Rezazadeh, Farhad, Chergui, Hatim, Siddiqui, Shuaib, Mangues, Josep, Song, Houbing, Saad, Walid, Bennis, Mehdi
An adaptive standardized protocol is essential for addressing inter-slice resource contention and conflict in network slicing. Traditional protocol standardization is a cumbersome task that yields hardcoded predefined protocols, resulting in increase
Externí odkaz:
http://arxiv.org/abs/2312.07362
Autor:
Kraljevic, Zeljko, Shek, Anthony, Yeung, Joshua Au, Sheldon, Ewart Jonathan, Al-Agil, Mohammad, Shuaib, Haris, Bai, Xi, Noor, Kawsar, Shah, Anoop D., Dobson, Richard, Teo, James
Protecting patient privacy in healthcare records is a top priority, and redaction is a commonly used method for obscuring directly identifiable information in text. Rule-based methods have been widely used, but their precision is often low causing ov
Externí odkaz:
http://arxiv.org/abs/2310.04468
Autor:
Khan, A., Kamran, S., Akhtar, N., Ponirakis, G., Al-Muhannadi, H., Petropoulos, I.N., Al-Fahdawi, Shumoos, Qahwaji, Rami S.R., Sartaj, F., Babu, B., Wadiwala, M.F., Shuaib, A., Mailk, R.A.
Yes
Endothelial dysfunction and damage underlie cerebrovascular disease and ischemic stroke. We undertook corneal confocal microscopy (CCM) to quantify corneal endothelial cell and nerve morphology in 146 patients with an acute ischemic stroke a
Endothelial dysfunction and damage underlie cerebrovascular disease and ischemic stroke. We undertook corneal confocal microscopy (CCM) to quantify corneal endothelial cell and nerve morphology in 146 patients with an acute ischemic stroke a
Externí odkaz:
http://hdl.handle.net/10454/16894
Autor:
Soomro, Shuaib Ahmed
Publikováno v:
Career Development International, 2024, Vol. 29, Issue 3, pp. 398-412.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CDI-07-2023-0217
Autor:
Ajani, Yusuf Ayodeji, Adefila, Emmanuel Kolawole, Olarongbe, Shuaib Agboola, Enakrire, Rexwhite Tega, Rabiu, Nafisa
Publikováno v:
Digital Library Perspectives, 2024, Vol. 40, Issue 2, pp. 311-329.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DLP-10-2023-0083
A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions
Autor:
Brik, Bouziane, Chergui, Hatim, Zanzi, Lanfranco, Devoti, Francesco, Ksentini, Adlen, Siddiqui, Muhammad Shuaib, Costa-Pérez, Xavier, Verikoukis, Christos
The recent O-RAN specifications promote the evolution of RAN architecture by function disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop control architecture managed by RAN Intelligent Controllers (RICs) enti
Externí odkaz:
http://arxiv.org/abs/2307.00319
Autor:
Tariq, Asadullah, Serhani, Mohamed Adel, Sallabi, Farag, Qayyum, Tariq, Barka, Ezedin S., Shuaib, Khaled A.
Federated Learning (FL) has emerged as a significant advancement in the field of Artificial Intelligence (AI), enabling collaborative model training across distributed devices while maintaining data privacy. As the importance of FL increases, address
Externí odkaz:
http://arxiv.org/abs/2305.11537