Zobrazeno 1 - 10
of 20 222
pro vyhledávání: '"Lavanya, A"'
This study aims to construct a stable, high-order compact finite difference method for solving Sobolev-type equations with Dirichlet boundary conditions in one-space dimension. Approximation of higher-order mixed derivatives in some specific Sobolev-
Externí odkaz:
http://arxiv.org/abs/2411.18445
In an era of heightened digital interconnectedness, businesses increasingly rely on third-party vendors to enhance their operational capabilities. However, this growing dependency introduces significant security risks, making it crucial to develop a
Externí odkaz:
http://arxiv.org/abs/2411.13447
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Oct 01. 28(10), 167-178.
Externí odkaz:
https://www.jstor.org/stable/27339819
This paper addresses the challenges of exploration and navigation in unknown environments from the perspective of evolutionary swarm robotics. A key focus is on path formation, which is essential for enabling cooperative swarm robots to navigate effe
Externí odkaz:
http://arxiv.org/abs/2409.00766
Autor:
Shadmany, Danial, Kumar, Aishwarya, Soper, Anna, Palm, Lukas, Yin, Chuan, Ando, Henry, Li, Bowen, Taneja, Lavanya, Jaffe, Matt, Schuster, David, Simon, Jon
From fundamental studies of light-matter interaction to applications in quantum networking and sensing, cavity quantum electrodynamics (QED) provides a platform-crossing toolbox to control interactions between atoms and photons. The coherence of such
Externí odkaz:
http://arxiv.org/abs/2407.04784
Evaluating text summarization has been a challenging task in natural language processing (NLP). Automatic metrics which heavily rely on reference summaries are not suitable in many situations, while human evaluation is time-consuming and labor-intens
Externí odkaz:
http://arxiv.org/abs/2407.00747
Autor:
Peter, Robinroy, Ratnabala, Lavanya, Aschu, Demetros, Fedoseev, Aleksey, Tsetserukou, Dzmitry
Autonomous drone navigation faces a critical challenge in achieving accurate landings on dynamic platforms, especially under unpredictable conditions such as wind turbulence. Our research introduces TornadoDrone, a novel Deep Reinforcement Learning (
Externí odkaz:
http://arxiv.org/abs/2406.16164
Autor:
Sarkar, Anomitra, Vajpayee, Lavanya
The Internet of Things has experienced significant growth and has become an integral part of various industries. This expansion has given rise to the Industrial IoT initiative where industries are utilizing IoT technology to enhance communication and
Externí odkaz:
http://arxiv.org/abs/2406.00748
Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation
Autor:
Prahallad, Lavanya, Mamidi, Radhika
Gender bias in machine translation (MT) sys- tems poses a significant challenge to achieving accurate and inclusive translations. This paper examines gender bias in machine translation systems for languages such as Telugu and Kan- nada from the Dravi
Externí odkaz:
http://arxiv.org/abs/2405.19701
A novel central compact finite-difference scheme for third derivatives with high spectral resolution
In this paper, we introduce a novel category of central compact schemes inspired by existing cell-node and cell-centered compact finite difference schemes, that offer a superior spectral resolution for solving the dispersive wave equation. In our app
Externí odkaz:
http://arxiv.org/abs/2405.00569