Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Francesco Archetti"'
Publikováno v:
Mathematics, Vol 12, Iss 6, p 929 (2024)
Prompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary. Consequently, the aim is to select the optimal prompt conc
Externí odkaz:
https://doaj.org/article/d00fb6815b3c4831bf4fdc5de50134e9
Publikováno v:
Water, Vol 16, Iss 3, p 412 (2024)
Leaks in water distribution networks are estimated to account for up to 30% of the total distributed water; moreover, the increasing demand and the skyrocketing energy cost have made leak localization and adoption ever more important to water utiliti
Externí odkaz:
https://doaj.org/article/20540203939d4310ac29b6b313ed716b
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4347 (2023)
Many real-life systems are usually controlled through policies replicating experts’ knowledge, typically favouring “safety” at the expense of optimality. Indeed, these control policies are usually aimed at avoiding a system’s disruptions or d
Externí odkaz:
https://doaj.org/article/4be0a83a5c5f40b2b6d64e567a63a159
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-17 (2021)
Abstract The issue of vulnerability and robustness in networks have been addressed by several methods. The goal is to identify which are the critical components (i.e., nodes/edges) whose failure impairs the functioning of the network and how much thi
Externí odkaz:
https://doaj.org/article/0624aab77ea543df96c56221f778fb8d
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2342 (2023)
This manuscript explores the problem of deploying sensors in networks to detect intrusions as effectively as possible. In water distribution networks, intrusions can cause a spread of contaminants over the whole network; we are searching for location
Externí odkaz:
https://doaj.org/article/0bcc6a02ba1947dea2fc55ddeda020ba
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 155 (2022)
Human as well as algorithmic searches are performed to balance exploration and exploitation. The search task in this paper is the global optimization of a 2D multimodal function, unknown to the searcher. Thus, the task presents the following features
Externí odkaz:
https://doaj.org/article/e42d86a02f5c4794bbd0bae3e7c91557
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 138 (2022)
Large retail companies routinely gather huge amounts of customer data, which are to be analyzed at a low granularity. To enable this analysis, several Key Performance Indicators (KPIs), acquired for each customer through different channels are associ
Externí odkaz:
https://doaj.org/article/0930b037c35f417fa4faac4a189c1dc1
Publikováno v:
Intelligent Systems with Applications, Vol 10, Iss , Pp 200047- (2021)
In this paper we propose a new algorithm for the identification of optimal “sensing spots”, within a network, for monitoring the spread of “effects” triggered by “events”. This problem is referred to as “Optimal Sensor Placement” and
Externí odkaz:
https://doaj.org/article/df8c81974e3343baa2150b73eb01a500
Publikováno v:
Water, Vol 14, Iss 5, p 800 (2022)
The main goal of this paper is to show that Bayesian optimization can be regarded as a general framework for the data-driven modelling and solution of problems arising in water distribution systems. Scenario-based hydraulic simulation and Monte Carlo
Externí odkaz:
https://doaj.org/article/bfc335db73714a6abcce74273e32dc66
Publikováno v:
Water, Vol 13, Iss 12, p 1625 (2021)
The sensor placement problem is modeled as a multi-objective optimization problem with Boolean decision variables. A new multi objective evolutionary algorithm (MOEA) is proposed for approximating and analyzing the set of Pareto optimal solutions. Th
Externí odkaz:
https://doaj.org/article/e308b24b462b4c8a86d2b56326e606d5