Zobrazeno 1 - 10
of 1 058
pro vyhledávání: '"Divakaran P."'
Publikováno v:
E3S Web of Conferences, Vol 547, p 02009 (2024)
The effects of a robotic tail's planar shape on a quadruped robot's ability to manipulate yaw angles are examined in this research. A quadruped model that takes ground contact friction into consideration is included in the simulation, along with tail
Externí odkaz:
https://doaj.org/article/486c0d69dba04fe38590bc95385109d7
The Maker-Breaker domination game (MBD game) is a two-player game played on a graph $G$ by Dominator and Staller. They alternately select unplayed vertices of $G$. The goal of Dominator is to form a dominating set with the set of vertices selected by
Externí odkaz:
http://arxiv.org/abs/2408.16297
Autor:
Gysel, Philipp, Wüest, Candid, Nwafor, Kenneth, Jašek, Otakar, Ustyuzhanin, Andrey, Divakaran, Dinil Mon
Securing endpoints is challenging due to the evolving nature of threats and attacks. With endpoint logging systems becoming mature, provenance-graph representations enable the creation of sophisticated behavior rules. However, adapting to the pace of
Externí odkaz:
http://arxiv.org/abs/2408.09217
To address the challenging problem of detecting phishing webpages, researchers have developed numerous solutions, in particular those based on machine learning (ML) algorithms. Among these, brand-based phishing detection that uses models from Compute
Externí odkaz:
http://arxiv.org/abs/2408.05941
Phishing attacks attempt to deceive users into stealing sensitive information, posing a significant cybersecurity threat. Advances in machine learning (ML) and deep learning (DL) have led to the development of numerous phishing webpage detection solu
Externí odkaz:
http://arxiv.org/abs/2407.20361
Large Visual Language Models (LVLMs) struggle with hallucinations in visual instruction following task(s), limiting their trustworthiness and real-world applicability. We propose Pelican -- a novel framework designed to detect and mitigate hallucinat
Externí odkaz:
http://arxiv.org/abs/2407.02352
We developed DyGETViz, a novel framework for effectively visualizing dynamic graphs (DGs) that are ubiquitous across diverse real-world systems. This framework leverages recent advancements in discrete-time dynamic graph (DTDG) models to adeptly hand
Externí odkaz:
http://arxiv.org/abs/2406.17963
The effects of disorder and chaos on quantum many-body systems can be superficially similar, yet their interplay has not been sufficiently explored. This work finds a continuous phase transition when disorder breaks permutation symmetry, with details
Externí odkaz:
http://arxiv.org/abs/2406.00521
Large language models (LLMs) are a class of powerful and versatile models that are beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber security, specifically exploring and summarizing the potential of LLMs in addr
Externí odkaz:
http://arxiv.org/abs/2404.11338
Autor:
Mukherjee, Victor, Divakaran, Uma
Publikováno v:
Nat Commun 15, 3170 (2024)
Can many-body systems be beneficial to designing quantum technologies? We address this question by examining quantum engines, where recent studies indicate potential benefits through the harnessing of many-body effects, such as divergences close to p
Externí odkaz:
http://arxiv.org/abs/2404.10459