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86.316  Articles
1 of 8.633 pages  |  10  records  |  more records»
This paper focuses on the performance of water distribution systems (WDSs) during long-term city transitions. A transition describes the pathway from an initial to a final planning stage including the structural and functional changes on the infrastructur... see more

The uncertainty issue becoming more and more important in term of freight transport, which essentially affect the transport cost. As an essential parameter to construct the product price, the transport cost variations sequentially impact the supply chain ... see more

The subject of research in the article are the processes of formalization of the pixel-by-pixel classification problem using the modified fuzzy neural production network of Wang-Mendel for segmentation of urban structures in the automated analysis of spac... see more

In a telecommunication industry as one of the oldest users of the hub network concept, networks do not operate on a complete hub network and hubs can configure different structures. A ring topology, especially synchronous optical network (SONET) rings in ... see more

Urgent problemof automation of radial basis neural network synthesis based on a set of precedents for decision-making in the diagnosis issolved in the paper. The method for the synthesis of radial basis neural network is proposed. It forms at the beginnin... see more

Solar power is a renewable energy interest many researchers around the world to be explored for human life beneficial especially for electric power generation. Photovoltaic (PV) is one of technology developed massively to exploit the solar power for this ... see more

With the large number of distributed generation (DG) access to the distribution network, the traditional distribution network with a single-supply radial structure has been transformed into an active distribution system (ADS) with source and bidirectional... see more

We compare the application of Bayesian inference and the maximum entropy (MaxEnt) method for the analysis of ?ow networks, such as water, electrical and transport networks. The two methods have the advantage of allowing a probabilistic prediction of ?ow r... see more

One crucial problem for applying machine learning algorithms to real-world datasets is missing data. The objective of data imputation is to fill the missing values in a dataset to resemble the completed dataset as accurately as possible. Many methods are ... see more

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