Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Shazia, Riaz"'
Publikováno v:
IEEE Access, Vol 12, Pp 100544-100558 (2024)
Sensor fault classification and reconstruction frameworks are crucial for the stable, safe, and reliable operations of Structural Health Monitoring (SHM) systems. Existing literature addressing reliability and efficiency is confronted with several ch
Externí odkaz:
https://doaj.org/article/1ccc8a79421048f7b096ed98dc5d179a
Autor:
Naureen Mushtaq, Bilal Mazhar Qureshi, Gohar Javed, Nabeel Ashfaque Sheikh, Saqib Kamran Bakhshi, Altaf Ali Laghari, Syed Ather Enam, Shayan Sirat Maheen Anwar, Kiran Hilal, Arsalan Kabir, Alia Ahmad, Amber Goraya, Anum Salman Mistry, Aqeela Rashid, Ata Ur Rehman Maaz, Muhammad Atif Munawar, Atiq Ahmed Khan, Farrah Bashir, Hina Hashmi, Kamran Saeed, Kumail Khandwala, Lal Rehman, Michael C. Dewan, Muhammad Saghir Khan, Muneeb uddin Karim, Najma Shaheen, Nida Zia, Nuzhat Yasmeen, Raheela Mahmood, Riaz Ahmed Raja Memon, Salman Kirmani, Shahzadi Resham, Shazia Kadri, Shazia Riaz, Syed Ahmer Hamid, Tariq Ghafoor, Uzma Imam, Yaseen Rauf Mushtaq, Zulfiqar Ali Rana, Eric Bouffet, Khurram Minhas
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionInitiated in June 2019, this collaborative effort involved 15 public and private sector hospitals in Pakistan. The primary objective was to enhance the capacity for pediatric neuro-oncology (PNO) care, supported by a My Child Matters/Foun
Externí odkaz:
https://doaj.org/article/9d60f6ac43734452be8ef1b19382eb00
Autor:
Dar, Shazia Riaz, Bano, Sobia
Publikováno v:
International Journal of Comparative Education and Development, 2023, Vol. 25, Issue 1, pp. 54-68.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCED-06-2022-0046
Publikováno v:
PeerJ Computer Science, Vol 9, p e1616 (2023)
The extraordinary success of deep learning is made possible due to the availability of crowd-sourced large-scale training datasets. Mostly, these datasets contain personal and confidential information, thus, have great potential of being misused, rai
Externí odkaz:
https://doaj.org/article/b3f5a1ac09134d629a174e1111fc772f
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 1, Pp 283-295 (2023)
Deep learning models have revolutionized AI tasks by producing accurate predictions. These models′ success largely depends on precise training using large-scale datasets, mostly crowdsourced from the target population. The training datasets may con
Externí odkaz:
https://doaj.org/article/ad68364ce64d45bd9d136e1b141e2225
Autor:
Shazia Riaz Dar
Publikováno v:
Corporum, Vol 4, Iss 2, Pp 19-38 (2021)
Metaphors play a significant role in shaping our thoughts and processes of communication. They are extensively used in everyday language and hence are an indispensable part of shaping human thought and language structures. Therefore, amid the current
Externí odkaz:
https://doaj.org/article/2a77be7993b0485faaef03fe00ddfe5d
Pediatric craniopharyngioma with a rare presentation of tooth enamel like structures - a case report
Publikováno v:
BioMedica, Vol 37, Iss 4, Pp 201-206 (2021)
Craniopharyngioma (CP) is a rare tumor accounting for
Externí odkaz:
https://doaj.org/article/d792a06dc3b848b2a7048054d7934c74
Publikováno v:
Journal of Islamic International Medical College, Vol 15, Iss 1, Pp 52-56 (2021)
Objective: To explore the teachers and undergraduate medical students' perceptions regarding the challenges of feedback in their educational process during clinical rotation. Study Design: It was an institution based exploratory qualitative study. Pl
Externí odkaz:
https://doaj.org/article/0aed3493f9864da79669084e1c16a2a1
Autor:
Rabia Saleem Safdar, Afsheen Asghar Khan, Muhammad Faisal Mehar, Shazia Riaz, Nusrat Hussain, Kiran Abbas
Publikováno v:
Pakistan Armed Forces Medical Journal, Vol 72, Iss 4 (2022)
Objective: To evaluate the clinic-pathological characteristics and their association with biopsy-proven glomerulonephritis in pediatric patients. Study Design: Prospective longitudinal study. Place and Duration of Study: Pediatric Department Ni
Externí odkaz:
https://doaj.org/article/52087f11391346c5a83eb9984569f700
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4599 (2023)
The successful outcomes of deep learning (DL) algorithms in diverse fields have prompted researchers to consider backdoor attacks on DL models to defend them in practical applications. Adversarial examples could deceive a safety-critical system, whic
Externí odkaz:
https://doaj.org/article/69fa61f037324e07b109700f28087ce8