Zobrazeno 1 - 10
of 462
pro vyhledávání: '"Mahindra P"'
Complex dynamical systems, such as particle accelerators, often require complicated and time-consuming tuning procedures for optimal performance. It may also be required that these procedures estimate the optimal system parameters, which govern the d
Externí odkaz:
http://arxiv.org/abs/2412.01748
Charged particle dynamics under the influence of electromagnetic fields is a challenging spatiotemporal problem. Many high performance physics-based simulators for predicting behavior in a charged particle beam are computationally expensive, limiting
Externí odkaz:
http://arxiv.org/abs/2408.07847
Addressing the charged particle beam diagnostics in accelerators poses a formidable challenge, demanding high-fidelity simulations in limited computational time. Machine learning (ML) based surrogate models have emerged as a promising tool for non-in
Externí odkaz:
http://arxiv.org/abs/2406.01535
Particle accelerators are time-varying systems whose components are perturbed by external disturbances. Tuning accelerators can be a time-consuming process involving manual adjustment of multiple components, such as RF cavities, to minimize beam loss
Externí odkaz:
http://arxiv.org/abs/2406.01532
Particle accelerators are complex systems that focus, guide, and accelerate intense charged particle beams to high energy. Beam diagnostics present a challenging problem due to limited non-destructive measurements, computationally demanding simulatio
Externí odkaz:
http://arxiv.org/abs/2403.13858
In this paper, we propose a novel inverse parameter estimation approach called Bayesian optimized physics-informed neural network (BOPINN). In this study, a PINN solves the partial differential equation (PDE), whereas Bayesian optimization (BO) estim
Externí odkaz:
http://arxiv.org/abs/2312.14064
Publikováno v:
Dental Journal, Vol 57, Iss 4, Pp 280-285 (2024)
Background: Oral health literacy (OHL) has an important role as a medium for health promotion and efforts to prevent oral diseases through oral health behavior changes. Purpose: This study aims to determine OHL and its correlation with oral health kn
Externí odkaz:
https://doaj.org/article/103afe0bbdba44dc95bebada4f08c427
Autor:
Natale Massimino Ucin, Manassé Nimpagaritse, Shital Mahindra Maru, Mulatedzi Makhado, Shiferaw Mitiku Tebeka
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background of the study Along with developments in the clinical domain, medical equipment is becoming more sophisticated, and it needs to function at peak efficiency. In this case, hospitals should priorities the prompt and effective mainten
Externí odkaz:
https://doaj.org/article/ba979dd0aebe4b9c9c7d8fd92d75f64d
With the rising demands for robust structural health monitoring procedures for aerospace structures, the scope of intelligent algorithms and learning techniques is expanding. Supervised algorithms have shown promising results in the field provided a
Externí odkaz:
http://arxiv.org/abs/2308.05350
Autor:
Rohimatun, Mahindra Dewi Nur Aisyah, Rismayani, Molide Rizal, Rita Noveriza, Tri Lestari Mardiningsih
Publikováno v:
Journal of Plant Protection Research, Vol vol. 64, Iss No 3, Pp 288-297 (2024)
Citronella (Cymbopogon nardus) produces essential oil and has the potential to be developed as a botanical insecticide. However, in its development, botanical insecticides encountered several obstacles. Utilizing nanotechnology in nanoemulsion prepar
Externí odkaz:
https://doaj.org/article/c5f6ea85659f4bcd966c221a8d03fa81