Zobrazeno 1 - 10
of 2 126
pro vyhledávání: '"Mengi, A"'
We consider the approximation of the smallest eigenvalue of a large parameter-dependent Hermitian matrix over a continuum compact domain. Our approach is based on approximating the smallest eigenvalue by the one obtained by projecting the large matri
Externí odkaz:
http://arxiv.org/abs/2409.05791
Autor:
Mehrmann, Volker, Mengi, Emre
For a quadratic matrix polynomial dependent on parameters and a given tolerance $\epsilon > 0$, the minimization of the $\epsilon$-pseudospectral abscissa over the set of permissible parameter values is discussed, with applications in damping optimiz
Externí odkaz:
http://arxiv.org/abs/2409.04297
Publikováno v:
Journal of Oral Biology and Craniofacial Research, Vol 14, Iss 5, Pp 500-506 (2024)
Aim: The aim of the questionnaire study was to determine the knowledge, attitude, and perception of orthodontists regarding the role of artificial intelligence in dentistry in general and orthodontics specifically, and to determine the use of artific
Externí odkaz:
https://doaj.org/article/d3fce5e9c2484284a85c30756765935f
Autor:
Mengi, Emre
We consider the problem of locating a nearest descriptor system of prescribed reduced order to a descriptor system with large order with respect to the ${\mathcal L}_\infty$ norm. Widely employed approaches such as the balanced truncation and best Ha
Externí odkaz:
http://arxiv.org/abs/2309.08011
Autor:
Lottie Howard-Merrill, Marjorie Pichon, Alice Witt, Revocatus Sono, Veronicah Gimunta, Enrica Hofer, Fatina Kiluvia, Mengi Alfred, Emmanuel Yohanna, Ana Maria Buller
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Promising evidence supports the effectiveness of edutainment interventions in shifting norms to prevent violence against women and girls and other harmful practices, yet further research into mechanisms and pathways of impact is n
Externí odkaz:
https://doaj.org/article/d1c6036c377449ceac2b946ba4e76c14
Autor:
Pal, Ridam, S, Sanjana, Mahto, Deepak, Agrawal, Kriti, Mengi, Gopal, Nagpal, Sargun, Devadiga, Akshaya, Sethi, Tavpritesh
The COVID-19 Infodemic had an unprecedented impact on health behaviors and outcomes at a global scale. While many studies have focused on a qualitative and quantitative understanding of misinformation, including sentiment analysis, there is a gap in
Externí odkaz:
http://arxiv.org/abs/2306.13954
This work presents a novel domain adaption paradigm for studying contrastive self-supervised representation learning and knowledge transfer using remote sensing satellite data. Major state-of-the-art remote sensing visual domain efforts primarily foc
Externí odkaz:
http://arxiv.org/abs/2304.09874
Autor:
Chhipa, Prakash Chandra, Chopra, Muskaan, Mengi, Gopal, Gupta, Varun, Upadhyay, Richa, Chippa, Meenakshi Subhash, De, Kanjar, Saini, Rajkumar, Uchida, Seiichi, Liwicki, Marcus
This work investigates the unexplored usability of self-supervised representation learning in the direction of functional knowledge transfer. In this work, functional knowledge transfer is achieved by joint optimization of self-supervised learning ps
Externí odkaz:
http://arxiv.org/abs/2304.01354
Publikováno v:
European Review of Aging and Physical Activity, Vol 21, Iss 1, Pp 1-8 (2024)
Abstract Background Malnutrition, sarcopenia, and frailty are age-related conditions that are associated with multiple health-related negative outcomes. However, the complex associations between them remain to be elucidated. The aims of the study wer
Externí odkaz:
https://doaj.org/article/832af9c358ea4967bbbfca7e78642620
Publikováno v:
In Journal of Oral Biology and Craniofacial Research September-October 2024 14(5):500-506