Zobrazeno 1 - 10
of 2 734
pro vyhledávání: '"KUMAR, MOHIT"'
Social media users articulate their opinions on a broad spectrum of subjects and share their experiences through posts comprising multiple modes of expression, leading to a notable surge in such multimodal content on social media platforms. Nonethele
Externí odkaz:
http://arxiv.org/abs/2412.10737
As data-privacy requirements are becoming increasingly stringent and statistical models based on sensitive data are being deployed and used more routinely, protecting data-privacy becomes pivotal. Partial Least Squares (PLS) regression is the premier
Externí odkaz:
http://arxiv.org/abs/2412.09164
Marine accidents highlight the crucial need for human safety. They result in loss of life, environmental harm, and significant economic costs, emphasizing the importance of being proactive and taking precautionary steps. This study aims to identify t
Externí odkaz:
http://arxiv.org/abs/2411.15249
Autor:
Khungla, Hitesh, Kumar, Mohit
Pandora temporal fault tree, as one notable extension of the fault tree, introduces temporal gates and temporal laws. Pandora Temporal Fault Tree(TFT) enhances the capability of fault trees and enables the modeling of system failure behavior that dep
Externí odkaz:
http://arxiv.org/abs/2411.09717
Autor:
Ratandhara, Harshit, Kumar, Mohit
The Best-Worst Method (BWM) is a well-known distance based multi-criteria decision-making method used for computing the weights of decision criteria. This article examines a taxicab distance based model of the BWM, with the objective of developing a
Externí odkaz:
http://arxiv.org/abs/2408.14452
Autor:
Kumar, Mohit, Valentinitsch, Alexander, Fuchs, Magdalena, Brucker, Mathias, Bowles, Juliana, Husakovic, Adnan, Abbas, Ali, Moser, Bernhard A.
This paper develops a novel mathematical framework for collaborative learning by means of geometrically inspired kernel machines which includes statements on the bounds of generalisation and approximation errors, and sample complexity. For classifica
Externí odkaz:
http://arxiv.org/abs/2407.04335
Autor:
Gill, Sukhpal Singh, Golec, Muhammed, Hu, Jianmin, Xu, Minxian, Du, Junhui, Wu, Huaming, Walia, Guneet Kaur, Murugesan, Subramaniam Subramanian, Ali, Babar, Kumar, Mohit, Ye, Kejiang, Verma, Prabal, Kumar, Surendra, Cuadrado, Felix, Uhlig, Steve
Publikováno v:
Springer Cluster Computing, Volume 28, article number 18, pages 11953 - 11981, (2025)
Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyze data in close communication with the location where the data is captured with AI technology. Recent advancements
Externí odkaz:
http://arxiv.org/abs/2407.04053
Autor:
León-Torres, Josué R., Krajinić, Filip, Kumar, Mohit, Basset, Marta Gilaberte, Setzpfandt, Frank, Gili, Valerio Flavio, Jelenković, Branislav, Gräfe, Markus
Quantum imaging with undetected light (QIUL) can retrieve amplitude and phase information of an object by exploiting the quantum correlations of photon-pairs generated through spontaneous parametric down conversion (SPDC), where the illumination and
Externí odkaz:
http://arxiv.org/abs/2404.17370
Autor:
Kumar, Mohit, Semperlotti, Fabio
The geometric phase provides important mathematical insights to understand the fundamental nature and evolution of the dynamic response in a wide spectrum of systems ranging from quantum to classical mechanics. While the concept of geometric phase, w
Externí odkaz:
http://arxiv.org/abs/2403.08711