Zobrazeno 1 - 10
of 938
pro vyhledávání: '"Nasim Md."'
Discovering Ordinary Differential Equations (ODEs) from trajectory data is a crucial task in AI-driven scientific discovery. Recent methods for symbolic discovery of ODEs primarily rely on fixed training datasets collected a-priori, often leading to
Externí odkaz:
http://arxiv.org/abs/2409.01416
Autor:
Jahangir, Md. Zihad Bin, Akter, Sumaiya, Nasim, MD Abdullah Al, Gupta, Kishor Datta, George, Roy
Wounds, such as foot ulcers, pressure ulcers, leg ulcers, and infected wounds, come up with substantial problems for healthcare professionals. Prompt and accurate segmentation is crucial for effective treatment. However, contemporary methods need an
Externí odkaz:
http://arxiv.org/abs/2408.11064
Machine learning (ML) is a rapidly developing area of medicine that uses significant resources to apply computer science and statistics to medical issues. ML's proponents laud its capacity to handle vast, complicated, and erratic medical data. It's c
Externí odkaz:
http://arxiv.org/abs/2408.00348
Autor:
Rashid, Abdur, Biswas, Parag, Biswas, Angona, Nasim, MD Abdullah Al, Gupta, Kishor Datta, George, Roy
Artificial intelligence (AI) has become a crucial instrument for streamlining processes in various industries, including electrical power systems, as a result of recent digitalization. Algorithms for artificial intelligence are data-driven models tha
Externí odkaz:
http://arxiv.org/abs/2406.16965
Autor:
Biswas, Parag, Rashid, Abdur, Biswas, Angona, Nasim, Md Abdullah Al, Gupta, Kishor Datta, George, Roy
Reduced environmental effect, lower operating costs, and a stable and sustainable energy supply for current and future generations are the main reasons why power optimization is important. Power optimization makes ensuring that energy is used more ef
Externí odkaz:
http://arxiv.org/abs/2406.15732
We study multi-particle azimuthal correlations in Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. We use initial conditions obtained from a Monte-Carlo Glauber model and evolve them within a viscous relativistic hydrodynamics framework that eventually
Externí odkaz:
http://arxiv.org/abs/2405.02245
Vertical Symbolic Regression (VSR) recently has been proposed to expedite the discovery of symbolic equations with many independent variables from experimental data. VSR reduces the search spaces following the vertical discovery path by building from
Externí odkaz:
http://arxiv.org/abs/2402.00254
Automating scientific discovery has been a grand goal of Artificial Intelligence (AI) and will bring tremendous societal impact. Learning symbolic expressions from experimental data is a vital step in AI-driven scientific discovery. Despite exciting
Externí odkaz:
http://arxiv.org/abs/2312.11955
Publikováno v:
Phys. Rev. C 109, 044905 (2024)
We explore the implications of the late stage hadronic rescattering phase on the flow of $K^{*0}$. The model calculations are done using a (3+1)-dimensional hybrid framework, incorporating both hydrodynamic evolution and hadronic transport that is ca
Externí odkaz:
http://arxiv.org/abs/2312.06359
Publikováno v:
Modern Physics Letters A Vol. 39, No. 07, 2450015 (2024)
The directed flow of identified particles can serve as a sensitive tool for investigating the interactions during initial and final states in heavy ion collisions. This study examines the rapidity-odd directed flow ($v_{1}$) and its slope ($dv_{1}/dy
Externí odkaz:
http://arxiv.org/abs/2309.14253