Zobrazeno 1 - 10
of 8 959
pro vyhledávání: '"P. Pande"'
Autor:
J. Cook, C. Brewster, F. Hayes, N. Booth, S. Bland, P. Pande, S. Thankappan, H. Pleijel, L. Emberson
Publikováno v:
Biogeosciences, Vol 21, Pp 4809-4835 (2024)
Ozone (O3) air pollution is well known to adversely affect both the grain and protein yield of wheat, an important staple crop. This study aims to identify and model the key plant processes influencing the effect of O3 on wheat protein. The DO3SE-Cro
Externí odkaz:
https://doaj.org/article/84b35d6175bd41af854f193c06d6a5ea
Recent advancements in session-based recommendation models using deep learning techniques have demonstrated significant performance improvements. While they can enhance model sophistication and improve the relevance of recommendations, they also make
Externí odkaz:
http://arxiv.org/abs/2411.09152
We present an innovative robotic device designed to provide controlled motion for studying active matter. Motion is driven by an internal vibrator powered by a small rechargeable battery. The system integrates acoustic and magnetic sensors along with
Externí odkaz:
http://arxiv.org/abs/2411.01943
Despite the recent advancements in information retrieval (IR), zero-shot IR remains a significant challenge, especially when dealing with new domains, languages, and newly-released use cases that lack historical query traffic from existing users. For
Externí odkaz:
http://arxiv.org/abs/2410.18385
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