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Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems

Autor: Ganga, Sai, Uddin, Ziya

Physics-informed neural networks (PINNs) have emerged as a versatile and widely applicable concept across various science and engineering domains over the past decade. This article offers a comprehensive overview of the fundamentals of PINNs, tracing

Externí odkaz: http://arxiv.org/abs/2410.00422

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p and hp Spectral Element Methods for Elliptic Boundary Layer Problems

Autor: Husain, Akhlaq, Kazmi, Aliya, Mohapatra, Subhashree, Uddin, Ziya

In this article, we consider p and hp least-squares spectral element methods for one-dimensional elliptic boundary layer problems. We derive stability estimates and design a numerical scheme based on minimizing the residuals in the sense of least squ

Externí odkaz: http://arxiv.org/abs/2409.14426

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SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies

Autor: Jain, Maeghal, Uddin, Ziya, Ibrahim, Wubshet

The outbreak of COVID-19 has highlighted the intricate interplay between public health and economic stability on a global scale. This study proposes a novel reinforcement learning framework designed to optimize health and economic outcomes during pan

Externí odkaz: http://arxiv.org/abs/2404.08423

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Unraveling Retraction Dynamics in COVID-19 Research: Patterns, Reasons, and Implications

Autor: Khurana, Parul, Uddin, Ziya, Sharma, Kiran

Amid the COVID-19 pandemic, while the world sought solutions, some scholars exploited the situation for personal gains through deceptive studies and manipulated data. This paper presents the extent of 400 retracted COVID-19 papers listed by the Retra

Externí odkaz: http://arxiv.org/abs/2404.15298

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Measuring the continuous research impact of a researcher: The Kz index

Autor: Sharma, Kiran, Uddin, Ziya

The ongoing discussion regarding the utilization of individual research performance for academic hiring, funding allocation, and resource distribution has prompted the need for improved metrics. While traditional measures such as total publications,

Externí odkaz: http://arxiv.org/abs/2306.15677

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