Zobrazeno 1 - 10
of 14 823
pro vyhledávání: '"Bajwa AT"'
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
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
Autor:
Muhammad Zahid Ihsan, Shamshad Kanwal, Shah Fahad, Waqas Shafqat Chattha, Abeer Hashem, Elsayed Fathi Abd-Allah, Mumtaz Hussain, Ali Ahsan Bajwa
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background White lupin (Lupinus albus L.) is a multi-purpose, climate resilient, pulse crop with exceptionally high protein content that makes it a suitable alternative of soybean in livestock feed. Although white lupin grows well on margina
Externí odkaz:
https://doaj.org/article/87bff665373d418b9c20b1bf12243a83
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 15, Pp 1019-1025 (2024)
Danielle L Terry, Prabhdeep Bajwa Guthrie Medical Group, Sayre, PA, USACorrespondence: Danielle L Terry, Director of Behavioral Science, Guthrie Medical Group, One Guthrie Square, Sayre, PA, 18840, USA, Tel +1 570 887 3337, Fax +1 570 887 3585, Email
Externí odkaz:
https://doaj.org/article/5c2b5e00aca74565937770a4c8525a3e
Autor:
Anne E. Milner, Rafael Esteva Hache, Sophia Oliver, Laurel D. Sarfan, Julia M. Spencer, Ashby Cogan, Yimei Jiang, Emma R. Agnew, Garret G. Zieve, Jennifer L. Martin, Michelle R. Zeidler, Lu Dong, Joseph K. Carpenter, Joshua Varghese, Kiely Bol, Zia Bajwa, Caitlan A. Tighe, Allison G. Harvey
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background Poor memory for treatment is associated with poorer treatment adherence and poorer patient outcomes. The memory support intervention (MSI) was developed to improve patient memory for treatment with the goal of improving patient ou
Externí odkaz:
https://doaj.org/article/116f2e2e78b94905bd28a9a5f195a2c9