Zobrazeno 1 - 10
of 7 327
pro vyhledávání: '"Noorani"'
Autor:
Nick Sevdalis, Mario Petrou, Katie Richards, Rashmi Kumar, Lucy Goulding, Kia-Chong Chua, Kathryn Watson, Joanna Burridge, DAVID HARDY, Sunil Bhudia, Manuela Russo, Rachel Rowan Olive, Barbora Krausova, Avlonitis Vassilios, Baig Kamran, Noorani Alia, Khan Habib
Publikováno v:
BMJ Open, Vol 14, Iss 3 (2024)
Introduction Being on a waiting list for elective (planned) cardiac surgery can be physically and psychologically challenging for patients. Research suggests that stress associated with waiting for surgery is dependent on different individual and con
Externí odkaz:
https://doaj.org/article/a3a7b2633bd14e7aa1049ea67018cf7a
Publikováno v:
International Journal of Women's Health, Vol Volume 14, Pp 1219-1236 (2022)
Arti Gupta,1 Mounika Kollimarla,1 Venkatashiva Reddy B,1 Yusuf Noorani Shaik,2 Rakesh Kakkar,3 Rajeev Aravindakshan1 1Department of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India; 2ICDS Proj
Externí odkaz:
https://doaj.org/article/39a9119a059244d4994b8098ff2613a6
Autor:
Ahmed N, Karobari MI, Yousaf A, Mohamed RN, Arshad S, Basheer SN, Peeran SW, Noorani TY, Assiry AA, Alharbi AS, Yean CY
Publikováno v:
Infection and Drug Resistance, Vol Volume 15, Pp 2773-2785 (2022)
Naveed Ahmed,1 Mohmed Isaqali Karobari,2– 4 Anam Yousaf,5 Roshan Noor Mohamed,6 Sohaib Arshad,7 Syed Nahid Basheer,8 Syed Wali Peeran,9 Tahir Yusuf Noorani,4 Ali A Assiry,10 Abdulaziz S Alharbi,11 Chan Yean Yean1 1Department of Medical Microbiology
Externí odkaz:
https://doaj.org/article/12fc7f36305c424bbe1229445c92ff95
Conformal prediction (CP) is a distribution-free framework for achieving probabilistic guarantees on black-box models. CP is generally applied to a model post-training. Recent research efforts, on the other hand, have focused on optimizing CP efficie
Externí odkaz:
http://arxiv.org/abs/2411.01696
Autor:
Shahid N, Erum A, Zaman M, Tulain UR, Shoaib QU, Majeed A, Rasool MF, Imran I, Alshehri S, Noorani B, Alqahtani F
Publikováno v:
International Journal of Nanomedicine, Vol Volume 16, Pp 6345-6366 (2021)
Nariman Shahid,1,2 Alia Erum,1 Muhammad Zaman,3 Ume Ruqia Tulain,1 Qurat-ul-ain Shoaib,3 Abdul Majeed,4 Muhammad F Rasool,4 Imran Imran,5 Sultan Alshehri,6 Behnam Noorani,7 Faleh Alqahtani8 1College of Pharmacy, University of Sargodha, Sargodha, 4010
Externí odkaz:
https://doaj.org/article/76d6f7df3901414ab9b6893b456391ca
Publikováno v:
The Application of Clinical Genetics, Vol Volume 14, Pp 77-85 (2021)
Waseem Chauhan,1 Mohammad Afzal,1 Zeeba Zaka-ur-Rab,2 Md Salik Noorani3 1Department of Zoology, Aligarh Muslim University, Aligarh, India; 2Department of Pediatrics, Jawahar Lal Nehru Medical College, Aligarh Muslim University, Aligarh, India; 3Depar
Externí odkaz:
https://doaj.org/article/a827c7ba3a26421e8e7607ec945c648c
With the pervasiveness of Stochastic Shortest-Path (SSP) problems in high-risk industries, such as last-mile autonomous delivery and supply chain management, robust planning algorithms are crucial for ensuring successful task completion while mitigat
Externí odkaz:
http://arxiv.org/abs/2408.08668
A state-feedback watermarking signal design for the detection of replay attacks in linear systems is proposed. The control input is augmented with a random time-delayed term of the system state estimate, in order to secure the system against attacks
Externí odkaz:
http://arxiv.org/abs/2404.00850
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications
Real-world scenarios are characterized by timing uncertainties, e.g., delays, and disturbances. Algorithms with temporal robustness are crucial in guaranteeing the successful execution of tasks and missions in such scenarios. We study time-robust pat
Externí odkaz:
http://arxiv.org/abs/2403.10735
Reinforcement Learning (RL) has shown exceptional performance across various applications, enabling autonomous agents to learn optimal policies through interaction with their environments. However, traditional RL frameworks often face challenges in t
Externí odkaz:
http://arxiv.org/abs/2403.08955