Zobrazeno 1 - 10
of 79 316
pro vyhledávání: '"A. VENKATESH"'
Publikováno v:
Българска кардиология, Vol 30, Iss 2, Pp 147-150 (2024)
Introduction: Heyde syndrome is a multisystem disorder characterized by the triad of aortic stenosis, acquired coagulopathy (von Willebrand syndrome type 2A) and gastrointestinal angiodysplasia. The diagnosis of Heyde syndrome in adults is challengin
Externí odkaz:
https://doaj.org/article/0fd784fcd38b473896c824ad54575474
Autor:
A. Venkatesh, M. Prakash Raj, B. Baranidharan, Mohammad Khalid Imam Rahmani, Khawaja Tauseef Tasneem, Mudassir Khan, Jayant Giri
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39520- (2024)
This article presents a time-delayed SIR epidemiological model that has been quantitatively examined. The model incorporates a logistic growth function for the susceptible population, a Crowley-Martin type incidence, and Holling type II treatment rat
Externí odkaz:
https://doaj.org/article/536117ecbbf14046b93e0d82e39da625
Publikováno v:
Results in Control and Optimization, Vol 15, Iss , Pp 100415- (2024)
This paper introduces a mathematical model that simulates the transmission of the dengue virus in a population over time. The model takes into account aspects such as delays in transmission, the impact of inhibitory effects, the loss of immunity, and
Externí odkaz:
https://doaj.org/article/7e9471344c954be29ef196da3147c203
Autor:
A. Venkatesh, M. Ankamma Rao
Publikováno v:
Results in Control and Optimization, Vol 14, Iss , Pp 100345- (2024)
In this study, a novel mathematical model for the dissemination dynamics of COVID-19 is developed. The main objective is to analyze the effectiveness of pharmaceutical interventions in lowering the COVID-19 contagions. We first demonstrate the positi
Externí odkaz:
https://doaj.org/article/70a46c97fe214ac2a0a24755295121ba
Publikováno v:
EPTCS 409, 2024, pp. 70-87
We introduce deterministic suffix-reading automata (DSA), a new automaton model over finite words. Transitions in a DSA are labeled with words. From a state, a DSA triggers an outgoing transition on seeing a word ending with the transition's label. T
Externí odkaz:
http://arxiv.org/abs/2410.22761
While most generative models show achievements in image data generation, few are developed for tabular data generation. Recently, due to success of large language models (LLM) in diverse tasks, they have also been used for tabular data generation. Ho
Externí odkaz:
http://arxiv.org/abs/2410.21717
Autor:
Beeri, Gal, Chamot, Benoit, Latchem, Elena, Venkatesh, Shruthi, Whalan, Sarah, Kruger, Van Zyl, Martino, David
This exploratory pilot study investigated the potential of combining a domain-specific model, BERN2, with large language models (LLMs) to enhance automated disease phenotyping from research survey data. Motivated by the need for efficient and accurat
Externí odkaz:
http://arxiv.org/abs/2410.20695
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
While visuomotor policy learning has advanced robotic manipulation, precisely executing contact-rich tasks remains challenging due to the limitations of vision in reasoning about physical interactions. To address this, recent work has sought to integ
Externí odkaz:
http://arxiv.org/abs/2410.17246
Autor:
Doddapaneni, Sumanth, Khan, Mohammed Safi Ur Rahman, Venkatesh, Dilip, Dabre, Raj, Kunchukuttan, Anoop, Khapra, Mitesh M.
Evaluating machine-generated text remains a significant challenge in NLP, especially for non-English languages. Current methodologies, including automated metrics, human assessments, and LLM-based evaluations, predominantly focus on English, revealin
Externí odkaz:
http://arxiv.org/abs/2410.13394