Zobrazeno 1 - 10
of 219 636
pro vyhledávání: '"A. Sinha"'
Autor:
P. Duan, H. Li, Z. Ma, J. Zhao, X. Dong, A. Sinha, P. Hu, H. Zhang, Y. Ning, G. Zhu, H. Cheng
Publikováno v:
Climate of the Past, Vol 20, Pp 1401-1414 (2024)
The 8.2 ka event has been extensively investigated as a remarkable single event but rarely considered as a part of multi-centennial climatic evolution. Here, we present absolutely dated speleothem multi-proxy records spanning 9.0–7.9 ka from Beijin
Externí odkaz:
https://doaj.org/article/011022b144d748378eea80e1d0e56d25
Autor:
A. Chauhan, M. Parmar, J. D. Rajesham, S. Shukla, K. C. Sahoo, S. Chauhan, S. Chitiboyina, A. Sinha, G. Srigana, M. Gorla, Sanghamitra Pati
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Multimorbidity, the concurrent presence of two or more chronic conditions is an emerging public health challenge. Till date, most of the research have focused on the presence and interaction of selected co-morbidities in tuberculo
Externí odkaz:
https://doaj.org/article/1ae9d1c134d6454081f0e5d370df2753
We present a new approach to bootstrapping string-like theories by exploiting a local crossing symmetric dispersion relation and field redefinition ambiguities. This approach enables us to use mass-level truncation and to go beyond the dual resonance
Externí odkaz:
http://arxiv.org/abs/2409.18259
Autor:
Khan, Mohammad Sadil, Sinha, Sankalp, Sheikh, Talha Uddin, Stricker, Didier, Ali, Sk Aziz, Afzal, Muhammad Zeshan
Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simpler intermediate parts. We propose Text2CAD, the first AI framework fo
Externí odkaz:
http://arxiv.org/abs/2409.17106
This work proposes a kinodynamic motion planning technique for collaborative object transportation by multiple mobile manipulators in dynamic environments. A global path planner computes a linear piecewise path from start to goal. A novel algorithm d
Externí odkaz:
http://arxiv.org/abs/2409.14910
Autor:
Sinha, Amit, Mahajan, Aditya
The traditional approach to POMDPs is to convert them into fully observed MDPs by considering a belief state as an information state. However, a belief-state based approach requires perfect knowledge of the system dynamics and is therefore not applic
Externí odkaz:
http://arxiv.org/abs/2409.15703
The impact of solar-stellar activity on planetary environments is a topic of great interest within the Sun-Earth system as well as exoplanetary systems. In particular, extreme events such as flares and coronal mass ejections have a profound effect on
Externí odkaz:
http://arxiv.org/abs/2409.14752
Machine learning (ML) methods have shown great potential for weather downscaling. These data-driven approaches provide a more efficient alternative for producing high-resolution weather datasets and forecasts compared to physics-based numerical simul
Externí odkaz:
http://arxiv.org/abs/2409.13955
Contribution: This Full paper in the Research Category track describes a practical, scalable platform that seamlessly integrates Generative AI (GenAI) with online educational forums, offering a novel approach to augment the instructional capabilities
Externí odkaz:
http://arxiv.org/abs/2409.13196
Autor:
He, Zecheng, Sun, Bo, Juefei-Xu, Felix, Ma, Haoyu, Ramchandani, Ankit, Cheung, Vincent, Shah, Siddharth, Kalia, Anmol, Subramanyam, Harihar, Zareian, Alireza, Chen, Li, Jain, Ankit, Zhang, Ning, Zhang, Peizhao, Sumbaly, Roshan, Vajda, Peter, Sinha, Animesh
Diffusion models have demonstrated remarkable efficacy across various image-to-image tasks. In this research, we introduce Imagine yourself, a state-of-the-art model designed for personalized image generation. Unlike conventional tuning-based persona
Externí odkaz:
http://arxiv.org/abs/2409.13346