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pro vyhledávání: '"A. Naresh"'
The increasing integration of artificial intelligence (AI) within cybersecurity has necessitated stronger encryption methods to ensure data security. This paper presents a comparative analysis of symmetric (SE) and asymmetric encryption (AE) algorith
Externí odkaz:
http://arxiv.org/abs/2412.15237
Document comparison typically relies on optical character recognition (OCR) as its core technology. However, OCR requires the selection of appropriate language models for each document and the performance of multilingual or hybrid models remains limi
Externí odkaz:
http://arxiv.org/abs/2412.04137
One of the key tasks in graph learning is node classification. While Graph neural networks have been used for various applications, their adaptivity to reject option setting is not previously explored. In this paper, we propose NCwR, a novel approach
Externí odkaz:
http://arxiv.org/abs/2412.03190
Long video understanding presents challenges due to the inherent high computational complexity and redundant temporal information. An effective representation for long videos must process such redundancy efficiently while preserving essential content
Externí odkaz:
http://arxiv.org/abs/2412.01798
Autor:
Rawte, Vipula, Jain, Sarthak, Sinha, Aarush, Kaushik, Garv, Bansal, Aman, Vishwanath, Prathiksha Rumale, Jain, Samyak Rajesh, Reganti, Aishwarya Naresh, Jain, Vinija, Chadha, Aman, Sheth, Amit P., Das, Amitava
Latest developments in Large Multimodal Models (LMMs) have broadened their capabilities to include video understanding. Specifically, Text-to-video (T2V) models have made significant progress in quality, comprehension, and duration, excelling at crea
Externí odkaz:
http://arxiv.org/abs/2411.10867
In the usual statistical inference problem, we estimate an unknown parameter of a statistical model using the information in the random sample. A priori information about the parameter is also known in several real-life situations. One such informati
Externí odkaz:
http://arxiv.org/abs/2411.05487
Autor:
Dadhich, Naresh, Goswami, Rituparno
Publikováno v:
Phys. Rev. D 110, L101501 (2024)
It is well known that locally defined marginally outer trapped surface (MOTS) is null and coincident with the event horizon of an unperturbed static Schwarzschild black hole. This is however not true for an accreting black hole for which MOTS separat
Externí odkaz:
http://arxiv.org/abs/2411.00424
Autor:
Gundla, Naresh Kumar
In the contemporary world of dynamic digital solutions and services, the significance of effective and stable cloud solutions cannot be overestimated. The cloud adaptation is becoming more popular due to mobile advantages, including flexibility, chea
Externí odkaz:
http://arxiv.org/abs/2410.21740
The use of social media applications, hate speech engagement, and public debates among teenagers, primarily by university and college students, is growing day by day. The feelings of tremendous stress, anxiety, and depression via social media among o
Externí odkaz:
http://arxiv.org/abs/2410.20070
The financial sector's dependence on digital infrastructure increases its vulnerability to cybersecurity threats, requiring strong IT security protocols with other entities. This collaboration, however, is often identified as the most vulnerable link
Externí odkaz:
http://arxiv.org/abs/2410.15194