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pro vyhledávání: '"Vijay Kumar, P"'
The aim of this manuscript is to address non-linear differential equations of the Lane Emden equation of second order using the shifted Legendre neural network (SLNN) method. Here all the equations are classified as singular initial value problems. T
Externí odkaz:
http://arxiv.org/abs/2410.05409
The study of low regularity Cauchy data for nonlinear dispersive PDEs has successfully been achieved using modulation spaces $M^{p,q}$ in recent years. In this paper, we study the inhomogeneous nonlinear Schr\"odinger equation (INLS) $$iu_t + \Delta
Externí odkaz:
http://arxiv.org/abs/2410.00869
Autor:
Thomas, Kurt, Kelley, Patrick Gage, Tao, David, Meiklejohn, Sarah, Vallis, Owen, Tan, Shunwen, Bratanič, Blaž, Ferreira, Felipe Tiengo, Eranti, Vijay Kumar, Bursztein, Elie
In this paper, we explore the feasibility of leveraging large language models (LLMs) to automate or otherwise assist human raters with identifying harmful content including hate speech, harassment, violent extremism, and election misinformation. Usin
Externí odkaz:
http://arxiv.org/abs/2406.12800
Visual program synthesis is a promising approach to exploit the reasoning abilities of large language models for compositional computer vision tasks. Previous work has used few-shot prompting with frozen LLMs to synthesize visual programs. Training a
Externí odkaz:
http://arxiv.org/abs/2404.04627
Although planning is a crucial component of the autonomous driving stack, researchers have yet to develop robust planning algorithms that are capable of safely handling the diverse range of possible driving scenarios. Learning-based planners suffer f
Externí odkaz:
http://arxiv.org/abs/2401.00125
Autor:
Zhao, Shiyu, Zhao, Long, G, Vijay Kumar B., Suh, Yumin, Metaxas, Dimitris N., Chandraker, Manmohan, Schulter, Samuel
The recent progress in language-based open-vocabulary object detection can be largely attributed to finding better ways of leveraging large-scale data with free-form text annotations. Training such models with a discriminative objective function has
Externí odkaz:
http://arxiv.org/abs/2401.00094
Data augmentation techniques, such as simple image transformations and combinations, are highly effective at improving the generalization of computer vision models, especially when training data is limited. However, such techniques are fundamentally
Externí odkaz:
http://arxiv.org/abs/2311.01295
Visual question answering (VQA) has traditionally been treated as a single-step task where each question receives the same amount of effort, unlike natural human question-answering strategies. We explore a question decomposition strategy for VQA to o
Externí odkaz:
http://arxiv.org/abs/2310.17050
Autor:
Pankaj Kumar Arora, Sneha Gangwar, Pushpendra Sagar, Sandeep Gangwar, Alok Srivastava, Sanjay Kumar Garg, Vijay Kumar Sinhal, Vijay Pal Singh
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 18, Iss 4, Pp 2781-2790 (2024)
An arsenic-resistant bacteria (strain PKA 200) was isolated from the Hindon River (Ghaziabad) after analyzing its water sample. Strain PKA 200 belongs to the Pseudomonas genus and can convert harmful arsenite [As (III)] into less harmful arsenate [As
Externí odkaz:
https://doaj.org/article/cb724641353c45f295b0b4cdc25e54f4
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-12 (2024)
Abstract Background Fatty liver disease (FLD) is the common metabolic disease of liver with high worldwide prevalence. Nonalcoholic FLD may progress to acute hepatitis, chronic liver disease and even into hepatocellular carcinoma. Noninvasive paramet
Externí odkaz:
https://doaj.org/article/737683563c204a6ab49f249d7a55a6f5