Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Weeraddana P"'
We investigate a novel characteristic of the conjugate function associated to a generic convex optimization problem which can subsequently be leveraged for efficient dual decomposition methods. In particular, under mild assumptions, we show a specifi
Externí odkaz:
http://arxiv.org/abs/2405.08933
We develop a gradient-like algorithm to minimize a sum of peer objective functions based on coordination through a peer interconnection network. The coordination admits two stages: the first is to constitute a gradient, possibly with errors, for upda
Externí odkaz:
http://arxiv.org/abs/2208.07797
Autor:
Sheri A. Schmidt, Ewenet Yemane Mesfin, Chaminda De Silva Weeraddana, A. Paulina de la Mata, Alejandro C. Costamagna, James J. Harynuk
Publikováno v:
Metabolites, Vol 14, Iss 11, p 623 (2024)
Background: Plants constantly produce primary and secondary metabolites, and a significant fraction of these are volatile organic compounds (VOCs). Factors including the life stage of the plant, temperature, environment, and stress influence the abun
Externí odkaz:
https://doaj.org/article/f8675b2214ad4863b184b0a6298c12be
With the unprecedented growth of signal processing and machine learning application domains, there has been a tremendous expansion of interest in distributed optimization methods to cope with the underlying large-scale problems. Nonetheless, inevitab
Externí odkaz:
http://arxiv.org/abs/2111.02525
Australian water infrastructure is more than a hundred years old, thus has begun to show its age through water main failures. Our work concerns approximately half a million pipelines across major Australian cities that deliver water to houses and bus
Externí odkaz:
http://arxiv.org/abs/2011.08671
In this paper, the process of forecasting household energy consumption is studied within the framework of the nonparametric Gaussian Process (GP), using multiple short time series data. As we begin to use smart meter data to paint a clearer picture o
Externí odkaz:
http://arxiv.org/abs/2011.05519
Autor:
Weeraddana, Dilusha, Liang, Bin, Li, Zhidong, Wang, Yang, Chen, Fang, Bonazzi, Livia, Phillips, Dean, Saxena, Nitin
Data61 and Western Water worked collaboratively to apply engineering expertise and Machine Learning tools to find a cost-effective solution to the pipe failure problem in the region west of Melbourne, where on average 400 water main failures occur pe
Externí odkaz:
http://arxiv.org/abs/2006.03385
Publikováno v:
2020 IEEE Wireless Communications and Networking Conference (WCNC)
This paper investigates a three-layer IoT-fog-cloud computing system to determine the optimum workload and power allocation at each layer. The objective is to minimize maximum per-layer latency (including both data processing and transmission delays)
Externí odkaz:
http://arxiv.org/abs/2001.11648
Akademický článek
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Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2010, Iss 1, p 513952 (2010)
In a wireless network, the problem of self-interference arises when a node transmits and receives simultaneously in the same frequency band. So far only two extreme approaches to circumvent this problem were thoroughly investigated in the literature.
Externí odkaz:
https://doaj.org/article/2a09e58eb8704ad793b61cd2ea8cfbda