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Aggregation Method

Building Aggregation Method Combining Constrained Delaunay Triangulation and a Filtering Process

Building Aggregation Method Combining Constrained Delaunay Triangulation and a Filtering Process

... building aggregation method combining constrained Delaunay triangulation (CDT) and a filtering ...The method has been applied in data reduction projects in multiple cities and contributed to good ...

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A resilient data aggregation method based on spatio temporal correlation for wireless sensor networks

A resilient data aggregation method based on spatio temporal correlation for wireless sensor networks

... data aggregation algorithms usually cannot evaluate the extent of data damage in presence of additive ...data aggregation method based on spatio-temporal correlation for wireless sensor networks is ...

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An Enhanced Distributed Data Aggregation Method in the Internet of Things

An Enhanced Distributed Data Aggregation Method in the Internet of Things

... data aggregation procedure in IoT nodes is also ...data aggregation methods is to collect and classify data packets in an acceptably efficient manner in terms of energy consumption rate, network lifetime, ...

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Multiple-Criteria Decision Analysis: A Novel Rank Aggregation Method

Multiple-Criteria Decision Analysis: A Novel Rank Aggregation Method

... a method to obtain the topology robustness through multiple metrics for the networks with various dimensions and ...rank aggregation method was performed during the ...

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Ranking Fraud Detection for Mobile Apps using Evidence Aggregation Method

Ranking Fraud Detection for Mobile Apps using Evidence Aggregation Method

... evidence aggregation method. The output of aggregation is the mobile app which decides the app is false or ...detection method with different services related to Apps such as recommendation of ...

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Mechanical and Morphological Characterization of Chitosan Scaffolds Produced by Particle Aggregation Method

Mechanical and Morphological Characterization of Chitosan Scaffolds Produced by Particle Aggregation Method

... Development of novel biomaterials and its practical application have been the subject of much research in the field of scaffolds for tissue engineering, providing the success of producing scaffolds biomaterials that ...

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An Enhanced Distributed Data Aggregation Method in the Internet of Things

An Enhanced Distributed Data Aggregation Method in the Internet of Things

... data aggregation procedure in IoT nodes is also ...data aggregation methods is to collect and classify data packets in an acceptably efficient manner in terms of energy consumption rate, network lifetime, ...

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Fraud Detecting and Preventing In Apps Using Optimization Based Aggregation Method

Fraud Detecting and Preventing In Apps Using Optimization Based Aggregation Method

... Ranking fraud in the mobile App market refers to fraudulent or deceptive activities which have a purpose of bumping up the Apps in the popularity list. Indeed, it becomes more and more frequent for App developers to use ...

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Implementation of Data Aggregation Method to Overcome Collusion Attacks in Wireless Sensor Networks

Implementation of Data Aggregation Method to Overcome Collusion Attacks in Wireless Sensor Networks

... existing iterative filtering algorithms, while altogether more strong against agreement assaults than the basic averaging strategies, are all things considered susceptive to a novel advanced conspiracy assault we ...

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SECUREROBUST DATA AGGREGATION METHOD FOR WIRELESS SENSOR NETWORK IN THE PRESENCE OF MALICIOUS USER

SECUREROBUST DATA AGGREGATION METHOD FOR WIRELESS SENSOR NETWORK IN THE PRESENCE OF MALICIOUS USER

... data aggregation and data trustworthiness esti- mation using a single iterative ...robust aggregation along with which different collusion attacks are identified and avoided in the proposed ...

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Feature selection with acquisition cost for optimizing sensor system design

Feature selection with acquisition cost for optimizing sensor system design

... The design of sensor systems for recognition tasks can be optimized by eliminating several processing methods and/or sensors that are related to irrelevant features. The goal of this paper was to investigate and show the ...

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SPFI: shape preserving Choquet fuzzy integral for non normal fuzzy set valued evidence

SPFI: shape preserving Choquet fuzzy integral for non normal fuzzy set valued evidence

... Information aggregation is a basic operation in several areas: machine learning, signal processing, distributed sensing, robotics, crowd-sourcing, ...of aggregation that has been studied in several previous ...

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Fuzzy representation and aggregation of fuzzy cognitive maps

Fuzzy representation and aggregation of fuzzy cognitive maps

... and aggregation methods have some limitations in relation to representation and aggregation of ...fuzzy method to represent the different kinds of fuzzy connection values of FCMs proposed by ...

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UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)

... Table 1 shows the development set results of our model under the different aggregation settings. Note that the Evidence Recall and F1 metrics are calculated based on the top 5 predicted evidences. We observe that ...

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Gene level differential analysis at transcript level resolution

Gene level differential analysis at transcript level resolution

... DESeq2.) Aggregation of transcript p values using the Lancaster method [16] outperforms standard gene-level analysis; it provides greater power at lower ...Lancaster-based aggregation outperforms the ...

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A Two Step Methodology to Study the Influence of Aggregation/Agglomeration of Nanoparticles on Young’s Modulus of Polymer Nanocomposites

A Two Step Methodology to Study the Influence of Aggregation/Agglomeration of Nanoparticles on Young’s Modulus of Polymer Nanocomposites

... nanoparticle aggregation/agglomeration and effective matrix phases. This method is examined for different samples, and the effects of important parameters on the modulus are ...the ...

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Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators

Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators

... the calculation method of position weight in attribute values that are normally distributed. If attribute values are displayed by interval numbers, the distribution of attribute values in each decision-making unit ...

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Music Recommender System Using a Forehead-mounted Electrical Potential Monitoring Device to Classify Mental States

Music Recommender System Using a Forehead-mounted Electrical Potential Monitoring Device to Classify Mental States

... optimal method and conditions, we calcu- lated the classification accuracy for all 8925 combinations (7*5*255) based on the classifications results for all of the mental ...evocation method using a specific ...

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An aggregation-based algebraic multigrid method

An aggregation-based algebraic multigrid method

... multigrid method is presented to solve large systems of linear ...by aggregation of the unknowns. The aggregation scheme uses two passes of a pairwise matching algorithm applied to the matrix graph, ...

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Extenuation of Voltage Variations and Load Leveling in wind-DG Microgrid with Back Propagation Based Fuzzy Logic Controller

Extenuation of Voltage Variations and Load Leveling in wind-DG Microgrid with Back Propagation Based Fuzzy Logic Controller

... mathematical method that allows solving difficult simulated problems with many inputs and output ...mathematical method is strictly distinguished from the more familiar logics, such as Boolean ...

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