Zobrazeno 1 - 10
of 3 786
pro vyhledávání: '"Shyam Sundar, A."'
The analysis of non-local regularisations of scalar conservation laws is an active research program. Applications of such equations are found in the modelling of physical phenomena such as traffic flow. In this paper, we propose a novel inviscid, non
Externí odkaz:
http://arxiv.org/abs/2410.16743
Autor:
Kannan, Shyam Sundar, Min, Byung-Cheol
Scene Change Detection is a challenging task in computer vision and robotics that aims to identify differences between two images of the same scene captured at different times. Traditional change detection methods rely on training models that take th
Externí odkaz:
http://arxiv.org/abs/2409.15255
Publikováno v:
Nonlinear Differ. Equ. Appl., Volume 27, Article number 46 (2020)
This paper deals with the optimal regularity for entropy solutions of conservation laws. For this purpose, we use two key ingredients: (a) fine structure of entropy solutions and (b) fractional $BV$ spaces. We show that optimality of the regularizing
Externí odkaz:
http://arxiv.org/abs/2402.15250
PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion
Autor:
Kannan, Shyam Sundar, Min, Byung-Cheol
Visual place recognition is a challenging task in the field of computer vision, and autonomous robotics and vehicles, which aims to identify a location or a place from visual inputs. Contemporary methods in visual place recognition employ convolution
Externí odkaz:
http://arxiv.org/abs/2401.13082
Publikováno v:
Phys. Rev. A 107, 022425 (2023)
The nonlocality revealed in a multiparty multisource network Bell experiment is conceptually different than the standard multiparty Bell nonlocality involving a single common source. Here, by introducing variants of asymmetric bilocal as well as tril
Externí odkaz:
http://arxiv.org/abs/2311.04583
Publikováno v:
Phys. Rev. A 107, 022204 (2023)
In a device-independent Bell test, the devices are considered to be black boxes and the dimension of the system remains unspecified. The dichotomic observables involved in such a Bell test can be degenerate and one may invoke a suitable measurement s
Externí odkaz:
http://arxiv.org/abs/2311.04497
Autor:
Kim, Gyeongmin, Kim, Taehyeon, Kannan, Shyam Sundar, Venkatesh, Vishnunandan L. N., Kim, Donghan, Min, Byung-Cheol
Mobile robots often rely on pre-existing maps for effective path planning and navigation. However, when these maps are unavailable, particularly in unfamiliar environments, a different approach become essential. This paper introduces DynaCon, a novel
Externí odkaz:
http://arxiv.org/abs/2309.16031
In this work, we introduce SMART-LLM, an innovative framework designed for embodied multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models (LLMs), harnesses the power of LLMs to convert high-level task
Externí odkaz:
http://arxiv.org/abs/2309.10062
Publikováno v:
Journal of Neurodevelopmental Disorders, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract Machine learning (ML) is increasingly used to identify patterns that could predict neurodevelopmental disorders (NDDs), such as autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). One key source of multilevel
Externí odkaz:
https://doaj.org/article/f99759353de74dec8738292d037b2fbe
Autor:
Pradeepkumara N, Chander Parkash, Reeta Bhatia, Anilabha Das Munshi, Mahesh Rao, Subhashree Subhasmita, Tusar Kanti Behera, Shyam Sundar Dey
Publikováno v:
Botanical Studies, Vol 65, Iss 1, Pp 1-17 (2024)
Abstract Background Cucumber (Cucumis sativus L.) is a model crop to study cell biology, including the development of haploids and doubled haploids in vegetable crops. In plant breeding, haploid and doubled haploids are valuable tools for developing
Externí odkaz:
https://doaj.org/article/951eef8f82f74439b8f35376b768c7a2