Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Prathyush, P."'
Autor:
Piran, Fardin Jalil, Poduval, Prathyush P., Barkam, Hamza Errahmouni, Imani, Mohsen, Imani, Farhad
Machine Learning (ML) models combined with in-situ sensing offer a powerful solution to address defect detection challenges in Additive Manufacturing (AM), yet this integration raises critical data privacy concerns, such as data leakage and sensor da
Externí odkaz:
http://arxiv.org/abs/2407.07066
This paper presents a quantum algorithm for efficiently decoding hypervectors, a crucial process in extracting atomic elements from hypervectors - an essential task in Hyperdimensional Computing (HDC) models for interpretable learning and information
Externí odkaz:
http://arxiv.org/abs/2406.11889
Existing UAS Traffic Management (UTM) frameworks designate preplanned flight paths to uncrewed aircraft systems (UAS), enabling the UAS to deliver payloads. However, with increasing delivery demand between the source-destination pairs in the urban ai
Externí odkaz:
http://arxiv.org/abs/2405.20972
Vector Symbolic Architectures (VSAs) have emerged as a novel framework for enabling interpretable machine learning algorithms equipped with the ability to reason and explain their decision processes. The basic idea is to represent discrete informatio
Externí odkaz:
http://arxiv.org/abs/2403.13218
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 13, Pp 1638-1648 (2024)
Abstract Due to variable and complex work environments, nonlinearities, uncertainty and disturbances are inevitable in multi‐agent systems. Approximation‐free control can address these issues without involving approximators, such as fuzzy logic s
Externí odkaz:
https://doaj.org/article/062cf6df147542378b7664241759ae2b
Autor:
Rao, D. M. K. K. Venkateswara, Habibi, Hamed, Sanchez-Lopez, Jose Luis, Menon, Prathyush P., Edwards, Christopher, Voos, Holger
In this paper, an adaptive super-twisting controller is designed for an agile maneuvering quadrotor unmanned aerial vehicle to achieve accurate trajectory tracking in the presence of external disturbances. A cascaded control architecture is designed
Externí odkaz:
http://arxiv.org/abs/2303.11770
Publikováno v:
Physical Review B 108, 035124 (2023)
Focusing on examples of Majorana zero modes on the corners of a two-dimensional lattice, we introduce a method to find parameter regions where the Majorana modes are perfectly localized on a single site. Such a limit allows us to study the dimerizati
Externí odkaz:
http://arxiv.org/abs/2303.01535
Active learning is a practical field of machine learning that automates the process of selecting which data to label. Current methods are effective in reducing the burden of data labeling but are heavily model-reliant. This has led to the inability o
Externí odkaz:
http://arxiv.org/abs/2302.14567
Publikováno v:
Physical Review B 107, 174204 (2023)
We theoretically consider the problem of doping induced insulator to metal transition in bulk semiconductors by obtaining the transition density as a function of compensation, assuming that the transition is an Anderson localization transition contro
Externí odkaz:
http://arxiv.org/abs/2302.00680
Publikováno v:
Physical Review B 108, 085405 (2023)
A recent work by Zhao et al. [1] reports the realization of a synthetic Kondo lattice in a gate-tunable Moir\'e TMD bilayer system. The observation of a Kondo lattice is supported by a plateau (or dip, depending on filling) in the temperature depende
Externí odkaz:
http://arxiv.org/abs/2301.09658