Zobrazeno 1 - 10
of 8 944
pro vyhledávání: '"Pande, P"'
In this article, we employ physics-informed residual learning (PIRL) and propose a pricing method for European options under a regime-switching framework, where closed-form solutions are not available. We demonstrate that the proposed approach serves
Externí odkaz:
http://arxiv.org/abs/2410.10474
Autor:
Pfromm, Lukas, Kanani, Alish, Sharma, Harsh, Solanki, Parth, Tervo, Eric, Park, Jaehyun, Doppa, Janardhan Rao, Pande, Partha Pratim, Ogras, Umit Y.
Rapidly evolving artificial intelligence and machine learning applications require ever-increasing computational capabilities, while monolithic 2D design technologies approach their limits. Heterogeneous integration of smaller chiplets using a 2.5D s
Externí odkaz:
http://arxiv.org/abs/2410.09188
Autor:
Bhardwaj, Ankit, Balashankar, Ananth, Iyer, Shiva, Soans, Nita, Sudarshan, Anant, Pande, Rohini, Subramanian, Lakshminarayanan
Effective air pollution management in urban areas relies on both monitoring and mitigation strategies, yet high costs often limit sensor networks to a few key pollution hotspots. In this paper, we show that New Delhi's public sensor network is insuff
Externí odkaz:
http://arxiv.org/abs/2410.04309
Mechanical metamaterials utilize geometry to achieve exceptional mechanical properties, including those not typically possible for traditional materials. To achieve these properties, it is necessary to identify the proper structures and geometries, w
Externí odkaz:
http://arxiv.org/abs/2410.07213
Autor:
Uzun, Baki, Pande, Shivam, Cachin-Bernard, Gwendal, Pham, Minh-Tan, Lefèvre, Sébastien, Blatrix, Rumais, McKey, Doyle
Regular patterns of vegetation are considered widespread landscapes, although their global extent has never been estimated. Among them, spotted landscapes are of particular interest in the context of climate change. Indeed, regularly spaced vegetatio
Externí odkaz:
http://arxiv.org/abs/2409.00518
Autor:
Pande, Shivam, Uzun, Baki, Guiotte, Florent, Corpetti, Thomas, Delerue, Florian, Lefèvre, Sébastien
In this study, we tackle the challenge of identifying plant species from ultra high resolution (UHR) remote sensing images. Our approach involves introducing an RGB remote sensing dataset, characterized by millimeter-level spatial resolution, meticul
Externí odkaz:
http://arxiv.org/abs/2409.00513
We describe the design, construction and characterisation of paper based devices to perform spirometry, a standard test for lung function assessment. In this device the instantaneous flowrate of the incoming breath from a person gets transformed to a
Externí odkaz:
http://arxiv.org/abs/2408.09389
This paper explores humor detection through a linguistic lens, prioritizing syntactic, semantic, and contextual features over computational methods in Natural Language Processing. We categorize features into syntactic, semantic, and contextual dimens
Externí odkaz:
http://arxiv.org/abs/2408.06335
Transformers have revolutionized deep learning and generative modeling to enable unprecedented advancements in natural language processing tasks and beyond. However, designing hardware accelerators for executing transformer models is challenging due
Externí odkaz:
http://arxiv.org/abs/2408.03397
Autor:
Pande, Shrihari D., Christov, Ivan C.
We employ the Lorentz reciprocal theorem to derive a closed-form expression for the pressure drop reduction due to the coupling between shear-thinning fluid flow and a weakly deformable channel wall. The methodology is applied in parallel to fluids f
Externí odkaz:
http://arxiv.org/abs/2407.07224