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A general algorithm for exact simulation of multicomponent aggregation processes
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A Monte Carlo (MC) algorithm is presented for the simulation of the time evolution of aggregation processes featuring multiple components, properties, or conservation laws. Instead of using deterministic differential population balance equations, the MC algorithm

Network design application of an extraction algorithm for network aggregation
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The performance of a network extraction algorithm is described, and the algo rithm is tested by using the network design problem. A network is chosen as the original network and is aggregated at different levels. The results of the optimal decision making under a common

Threshold based data aggregation algorithm to detect rainfall induced landslides
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Landslides are one of the environmental disasters that cause massive destruction of human life and infrastructure. Real time monitoring of a landslide prone areas are necessary to issue fore warning. To accomplish real time monitoring, massive amount of data have to be

A cluster-based real-time fault diagnosis aggregation algorithm for wireless sensor networks
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In Wireless Sensor Networks (WSNs), it is of great importance for fault diagnosis in the WSNs to ensure the accuracy of the information collected from the network, for the low cost and the deployment of a large number of sensor nodes in uncontrolled or harsh or hostile

Growing aggregation algorithm for dense two-frame stereo correspondence
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This work aims at defining a new method for matching correspondences in stereoscopic image analysis. The salient aspects of the method are-an explicit representation of occlusions driving the overall matching process and the use of neural adaptive technique inAggregation has often been used to obtain an approximate but much more simpler model from a very large original one. In the case of linear programming, from the solution of a column aggregate problem we can obtain, by disaggregation, an approximate solution, x O

Increasing lifetime in grid wireless sensor networks through routing algorithm and data aggregation techniques
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The major problem for Wireless Sensor Networks (WSN) is the limited energy supply of the sensors. The research in this area is focused on making smaller sensors with low power consumption. Some of the most common techniques in prolonging the lifetime of the sensor

Finding cancer genes through meta-analysis of microarray experiments: Rank aggregation via the cross entropy algorithm
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4 Results For each of the 20 microarray datasets, we obtain a top-50 list of Probe IDs ranked according to their p-values from an ANOVA analysis. The lists along with the corresponding p-values, which play the role of weights, are then used to produce a single combined top-50

A rank aggregation algorithm for ensemble of multiple feature selection techniques in credit risk evaluation
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In credit risk evaluation the accuracy of a classifier is very significant for classifying the high- risk loan applicants correctly. Feature selection is one way of improving the accuracy of a classifier. It provides the classifier with important and relevant features for model

ADAGA-ADaptive AGgregation Algorithm for Sensor Networks.
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Algorithms for query processing in Wireless Sensor Networks (WSNs) should be able to handle resource limitations such as memory and battery life. Adaptability has been explored as an alternative approach when dealing with these conditions. Adaptive algorithms can

An artificial fish swarm based supervised gene rank aggregation algorithm for informative genes studies
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As the widespread use of high-throughput genomic and protein analysis, more and more experiments have been done to identify the informative genes for various diseases, thus it provides researchers an opportunity to aggregate across multiple microarray experiments

An economical aggregation algorithm for algebraic multigrid (AMG).
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Aggregation -based AMG method is a widely studied technique of robustness for large-scale linear systems. Some previous aggregation algorithms, belonging to a part of aggregation based AMG method, exhibit certain excellent properties. These aggregation methods

Efficient algorithm for context sensitive aggregation in natural language generation
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Aggregation is a sub-task of Natural Language Generation (NLG) that improves the conciseness and readability of the text outputted by NLG systems. Till date, approaches towards the aggregation task have been predominantly manual (manual analysis of domain

Increasing the lifetime of wireless sensor networks by using AR ( aggregation routing) algorithm
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In this paper, We identified several advantages of a heterogeneous architecture for wireless sensor networks (WSNs). It consists of some resource rich mobile relay nodes and a many number of simple undynamic nodes. The mobile relays have high energy than the

Data aggregation tree structure in wireless sensor networks using cuckoo optimization algorithm
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Wireless sensor networks (WSNs) consist of numerous tiny sensors which can be regarded as a robust tool for collecting and aggregating data in different data environments. The energy of these small sensors is supplied by a battery with limited power which cannot be

Applying the explicit aggregation algorithm to discrete choice economies: With an application to estimating the aggregate technology shock process
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This paper applies the explicit aggregation algorithm in Den Haan and Rendahl [2010. Solving the incomplete markets model with aggregate uncertainty using explicit aggregation . Journal of Economic Dynamics and Control, 69-78] to lumpy investment models of plants

An efficient algorithm for general weighted aggregation
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J Dujmović- Proc 8th Int Summer School on Aggregation Operators orbilu.uni.luWe propose a weighted aggregation algorithm for creating a general idempotent weighted aggregator of n variables derived from a related symmetric idempotent aggregator of two variables. This computational method, together with interpolative aggregation , can be used

Optimal aggregation of interval numbers based on genetic algorithm in group decision
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A group of decision-makers differ in their choice of alternatives while making a decision. As a result, how to aggregate opinions of different experts is still an open issue. Due to the uncertainty in the process of decision making, some mathematic tools such as fuzzy sets

A new multi party aggregation algorithm using infinite product series
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The worthwhile data mining tools encourage the companies to share their data to be mined. Whereas, the companies are avoided passing their data to the miner directly because of their privacy and confidentially roles. Multi Party Computation (MPC) is a cryptographic tool

A maximum lifetime algorithm for data gathering without aggregation in wireless sensor networks
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Data gathering in wireless sensor network (WSN) has attracted a lot of attention in research. Data gathering can be done with or without aggregation , depending on the degree of correlation among the source data. In this paper, we study the problem of data gathering


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