Zobrazeno 1 - 10
of 15 104
pro vyhledávání: '"Bajwa AS"'
The majority of genetic variants identified in genome-wide association studies of complex traits are non-coding, and characterizing their function remains an important challenge in human genetics. Genomic deep learning models have emerged as a promis
Externí odkaz:
http://arxiv.org/abs/2411.11158
Autor:
Bajwa, Rabia, Meem, Farah Tasnur
This paper investigates the evolving relationship between protecting Intellectual Property Rights (IPRs) and blockchain technology. We conducted a comprehensive literature review, supplemented by case study analyses and research paper reviews, to und
Externí odkaz:
http://arxiv.org/abs/2410.08359
Autor:
Amjad, Haadia, Goeller, Kilian, Seitz, Steffen, Knoll, Carsten, Bajwa, Naseer, Tetzlaff, Ronald, Malik, Muhammad Imran
Deep learning is actively being used in biometrics to develop efficient identification and verification systems. Handwritten signatures are a common subset of biometric data for authentication purposes. Generative adversarial networks (GANs) learn fr
Externí odkaz:
http://arxiv.org/abs/2410.06041
Autor:
Bajwa, Rabia, Meem, Farah Tasnur
The internet is a common place for businesses to collect and store as much client data as possible and computer storage capacity has increased exponentially due to this trend. Businesses utilize this data to enhance customer satisfaction, generate re
Externí odkaz:
http://arxiv.org/abs/2410.04606
Autor:
Ness, Robert Osazuwa, Matton, Katie, Helm, Hayden, Zhang, Sheng, Bajwa, Junaid, Priebe, Carey E., Horvitz, Eric
Large language models (LLM) have achieved impressive performance on medical question-answering benchmarks. However, high benchmark accuracy does not imply that the performance generalizes to real-world clinical settings. Medical question-answering be
Externí odkaz:
http://arxiv.org/abs/2406.06573
Publikováno v:
Mobile Information Systems Mobile Information Systems, Volume 2022, Article ID 1609757, 20 pages
In the field of human-computer interaction (HCI), the usability assessment of m-learning (mobile-learning) applications is a real challenge. Such assessment typically involves extraction of the best features of an application like efficiency, effecti
Externí odkaz:
http://arxiv.org/abs/2404.16043
Autor:
Yildirim, Nur, Richardson, Hannah, Wetscherek, Maria T., Bajwa, Junaid, Jacob, Joseph, Pinnock, Mark A., Harris, Stephen, de Castro, Daniel Coelho, Bannur, Shruthi, Hyland, Stephanie L., Ghosh, Pratik, Ranjit, Mercy, Bouzid, Kenza, Schwaighofer, Anton, Pérez-García, Fernando, Sharma, Harshita, Oktay, Ozan, Lungren, Matthew, Alvarez-Valle, Javier, Nori, Aditya, Thieme, Anja
Recent advances in AI combine large language models (LLMs) with vision encoders that bring forward unprecedented technical capabilities to leverage for a wide range of healthcare applications. Focusing on the domain of radiology, vision-language mode
Externí odkaz:
http://arxiv.org/abs/2402.14252
Publikováno v:
Journal of Hospitality and Tourism Insights, 2024, Vol. 8, Issue 1, pp. 120-137.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JHTI-11-2023-0855
Federated learning is a technique that allows multiple entities to collaboratively train models using their data without compromising data privacy. However, despite its advantages, federated learning can be susceptible to false data injection attacks
Externí odkaz:
http://arxiv.org/abs/2312.02102
Publikováno v:
Research and Reports in Neonatology, Vol Volume 14, Pp 109-115 (2024)
Ahmad A Imran,1 Jagmeet Singh Bajwa,2 Sibasis Daspal,1 Darryl J Adamko3 1Division of Neonatology, Department of Pediatrics, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; 2Division of Research, Department of Pediatrics, University of Sa
Externí odkaz:
https://doaj.org/article/d82bfe8a632d48d5a486fdd9ce28050c