Zobrazeno 1 - 10
of 2 201
pro vyhledávání: '"Maskell P"'
We propose a fully Bayesian approach to wideband, or broadband, direction-of-arrival (DoA) estimation and signal detection. Unlike previous works in wideband DoA estimation and detection, where the signals were modeled in the time-frequency domain, w
Externí odkaz:
http://arxiv.org/abs/2412.08895
Publikováno v:
Proc. IEEE 9th Intl. Conf. on Mathematics and Computers in Sciences and Industry, pp. 1-6, August 22-24, 2024, Greece
We present a novel fast bipartitioned hybrid adder (FBHA) that utilizes carry-select and carry-lookahead logic. The proposed FBHA is an accurate adder with a significant part and a less significant part joined together by a carry signal. In an N-bit
Externí odkaz:
http://arxiv.org/abs/2412.01764
Sequential Monte Carlo Squared (SMC$^2$) is a Bayesian method which can infer the states and parameters of non-linear, non-Gaussian state-space models. The standard random-walk proposal in SMC$^2$ faces challenges, particularly with high-dimensional
Externí odkaz:
http://arxiv.org/abs/2407.17296
Autor:
Wu, Xuan, Wang, Di, Wen, Lijie, Xiao, Yubin, Wu, Chunguo, Wu, Yuesong, Yu, Chaoyu, Maskell, Douglas L., Zhou, You
Although several surveys on Neural Combinatorial Optimization (NCO) solvers specifically designed to solve Vehicle Routing Problems (VRPs) have been conducted. These existing surveys did not cover the state-of-the-art (SOTA) NCO solvers emerged recen
Externí odkaz:
http://arxiv.org/abs/2406.00415
Calibrating statistical models using Bayesian inference often requires both accurate and timely estimates of parameters of interest. Particle Markov Chain Monte Carlo (p-MCMC) and Sequential Monte Carlo Squared (SMC$^2$) are two methods that use an u
Externí odkaz:
http://arxiv.org/abs/2311.12973
Autor:
Balasubramanian, P, Maskell, D L
Publikováno v:
Electronics, vol. 12, no. 18, Article #3819, 2023
Triple Modular Redundancy (TMR) has been traditionally used to ensure complete tolerance to a single fault or a faulty processing unit, where the processing unit may be a circuit or a system. However, TMR incurs more than 200% overhead in terms of ar
Externí odkaz:
http://arxiv.org/abs/2311.00328
Autor:
Alex Howard, David M. Hughes, Peter L. Green, Anoop Velluva, Alessandro Gerada, Simon Maskell, Iain E. Buchan, William Hope
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Antimicrobial susceptibility testing is a key weapon against antimicrobial resistance. Diagnostic microbiology laboratories use one-size-fits-all testing approaches that are often imprecise, inefficient, and inequitable. Here, we report a pe
Externí odkaz:
https://doaj.org/article/9e65fdf22cb8423cae7fed0f0f0f1662
Publikováno v:
Drug Design, Development and Therapy, Vol 2016, Iss Issue 1, Pp 1453-1460 (2016)
Mehmet Zuhuri Arun,1 Buket Reel,1 Graciela B Sala-Newby,2 Mark Bond,2 Aikaterini Tsaousi,2 Perry Maskell,2 Andrew C Newby21Department of Pharmacology, Faculty of Pharmacy, Ege University, Izmir, Turkey; 2Bristol Heart Institute, University of Bristol
Externí odkaz:
https://doaj.org/article/d1643b699f274f85af385dd1f170ed7e
This paper is concerned with sensor management for target search and track using the generalised optimal subpattern assignment (GOSPA) metric. Utilising the GOSPA metric to predict future system performance is computationally challenging, because of
Externí odkaz:
http://arxiv.org/abs/2308.07088
Bayesian Decision Trees (DTs) are generally considered a more advanced and accurate model than a regular Decision Tree (DT) because they can handle complex and uncertain data. Existing work on Bayesian DTs uses Markov Chain Monte Carlo (MCMC) with an
Externí odkaz:
http://arxiv.org/abs/2305.18774