Zobrazeno 1 - 10
of 13 308
pro vyhledávání: '"Shuaib A."'
Publikováno v:
ACS Omega, Vol 8, Iss 40, Pp 36856-36867 (2023)
Externí odkaz:
https://doaj.org/article/660ccb54495543e2aec557d08b54bb52
Publikováno v:
Különleges Bánásmód, Vol 9, Iss 1 (2023)
Bullying is a complicated issue that arises from intricate relationships between family members, peers, the school community, and culture. One of the key indicators of bullying is parental variables. Studies linking various parental factors to bullyi
Externí odkaz:
https://doaj.org/article/36580ce9e8294aa4a621ad0e786b9ab0
Autor:
Dhrubo, Mahir Shahriar, Akter, Samira, Shuaib, Anwarul Bashir, Tahmid, Md Toki, Hasan, Zahid, Islam, A. B. M. Alim Al
Efficient vectorization of hand-drawn cadastral maps, such as Mouza maps in Bangladesh, poses a significant challenge due to their complex structures. Current manual digitization methods are time-consuming and labor-intensive. Our study proposes a se
Externí odkaz:
http://arxiv.org/abs/2410.15961
Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to delays and
Externí odkaz:
http://arxiv.org/abs/2410.15437
Publikováno v:
ACS Omega, Vol 5, Iss 43, Pp 27833-27845 (2020)
Externí odkaz:
https://doaj.org/article/e413749e5f494c988854306d922bedad
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
Publikováno v:
Fibers, Vol 9, Iss 9, p 57 (2021)
Cellulose nanofibrils (CNF) were produced by high-pressure homogenization from kraft pulp in the presence of carboxymethyl cellulose (CMC) of varying molecular weights. CNF pretreated with 250 kD CMC exhibited the maximum specific surface area (SSA)
Externí odkaz:
https://doaj.org/article/98ed8026f56e47408a9a431e9c209e1c
Publikováno v:
Arab Gulf Journal of Scientific Research, 2023, Vol. 42, Issue 4, pp. 1340-1358.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AGJSR-05-2023-0193