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input data pre-processing

Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling

Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling

... the input space was segmented with finer resolution, resulting in a total of nine fuzzy sets denoted with linguistic qualifiers - minor, very low, low, medium-low, medium, medium-high, high, very high, and ...

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Designed by intelligent fire detection system based on FFN and PMO using Sushisen algorithm analysis

Designed by intelligent fire detection system based on FFN and PMO using Sushisen algorithm analysis

... of pre-processing on the output of the proposed network, another simulation is conducted in which the PMO-Multilayer Perceptron input data is employed in both noised and denoised ...applying ...

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Integrating Type-1 Fuzzy and Type-2 Fuzzy Clustering with K-Means for Pre-Processing Input Data in Classification Algorithms

Integrating Type-1 Fuzzy and Type-2 Fuzzy Clustering with K-Means for Pre-Processing Input Data in Classification Algorithms

... algorithm same as k-means. Therefore, in order to make FCM faster than standard FCM, a k-means clustering algorithm is run before FCM and finds the centers. K-means is used to determine the centroids of input ...

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Land Use Land Cover Mapping Of Hirehalli Village In Karnataka Using RS and GIS Technique For The Year 2012 and 2018

Land Use Land Cover Mapping Of Hirehalli Village In Karnataka Using RS and GIS Technique For The Year 2012 and 2018

... The input data for the LU/LC Mapping of Hirehalli gram Panchayath is the CARTOSAT-1 and LISS-IV data provided by NRSC (National Remote Sensing Centre) to ...The pre-processing was done ...

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Pre-processing for noise detection in gene expression classification data

Pre-processing for noise detection in gene expression classification data

... their pre-processed versions, resulting from the application of each noise detection technique, were presented to the three ML algorithms ...each data set used in the experiments was also presented directly ...

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Enhancement of Face Recognition Rate by Data          Base Pre-processing

Enhancement of Face Recognition Rate by Data Base Pre-processing

... image data onto lower dimensional subspace crossed by the best eigenvectors of the covariance ...the data points of two or more different classes are distant from each other, this mean LDA searches for the ...

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Time series modeling and designing of artifical neural network (ANN) for revenue forecasting

Time series modeling and designing of artifical neural network (ANN) for revenue forecasting

... Knowing future better has attracted many people for thousands of years. The forecasting methods vary greatly and will depend on the data availability, the quality of models available, and the kinds of assumptions ...

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Study on Cleaning and Pre-Processing Of Large Scale Mobile Data

Study on Cleaning and Pre-Processing Of Large Scale Mobile Data

... In this paper Crowdsensing for brilliant devices depends on automatized data gathering forms. Consequently, there is a probability for unsuccessful readings and blunders, for instance, in the event that the gadget ...

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Detection of Tumor in MRI Images Using Artificial Neural Networks

Detection of Tumor in MRI Images Using Artificial Neural Networks

... a Input Image(Normal MRI Input)(Figure 1) and following pre- processing steps are performed such as Gray Scale Image(Figure 2), it is a range of shades of gray without apparent color, followed ...

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Evaluation of Authentic Assessment Implementation in Public Elementary School 101775 Sampali, Deli Serdang Regency Academic Year 2019/2020

Evaluation of Authentic Assessment Implementation in Public Elementary School 101775 Sampali, Deli Serdang Regency Academic Year 2019/2020

... of data processing of teacher understanding of the implementation of authentic assessment in Public Elementary School 101775 Sampali about mastery of attitude assessment, knowledge assessment and skills ...

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From Wbp to GDPR: against which burden? : On the differences in terms of obligations and conditions and their implications for organizations in the Netherlands

From Wbp to GDPR: against which burden? : On the differences in terms of obligations and conditions and their implications for organizations in the Netherlands

... and pre-determined objectives and foundations and necessity condition remain the ...of data storage exists in the same form in both ...the processing of ‘special’ types of personal data and ...

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Analysing wireless EEG based functional connectivity measures with respect to change in environmental factors

Analysing wireless EEG based functional connectivity measures with respect to change in environmental factors

... EEG data was pre-processed using an artifact reduction algorithm and 129 neurophysiological features were extracted from functional connectivity measures using complex network ...environmental data ...

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Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases

Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases

... Sanz et al. [49] developed a classifier to determine the risk of cardiovascular disease in the next 10 years. In that study, a data set of 828 cases was considered. Finally the proposed method, compared to classic ...

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Sign Language Interpreter for Deaf and Dumb People

Sign Language Interpreter for Deaf and Dumb People

... 4) Processing subsystem: Arduino nano board is used for processing since it has 8 analog input pins converting analog data into digital ...of input for the Arduino nano board is the ...

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Trustworthiness of Big Data

Trustworthiness of Big Data

... big data technology and gain a leading ...big data testing you are talking about file systems, dynamic and unstructured data, and newer technology jargon, concepts, and implementation strategies such ...

6

A24 3068 1 1401 miscIOinstr pdf

A24 3068 1 1401 miscIOinstr pdf

... Data Processing System IBM 1460 Data Processing System This publication contains a description of the instructions used by the IBM 1401 or 1460 to operate these miscellaneous input/outpu[r] ...

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A Multithreaded CGRA for Convolutional Neural Network Processing

A Multithreaded CGRA for Convolutional Neural Network Processing

... and processing performance is efficient data reuse by exploiting the inherent data ...exploiting input data locality. The multithreading on each processing element enables the ...

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Efficient Method for 3D Reconstruction using Underwater Videos

Efficient Method for 3D Reconstruction using Underwater Videos

... ABSTRACT: Range scanning methods for underwater images are gaining interest in exploring underwater. Different tools have come up for representing seafloors. These scan images or videos captured by underwater cameras or ...

6

Review of Big Data Pre processing

Review of Big Data Pre processing

... “The data set I have selected for analysis is HUGE, which is sure to slow down the mining ...my data set without jeopardizing the data mining results?” Data reduction obtains a reduced ...

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SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation

SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation

... as input for the subsequent text preprocess- ing ...memory-intensive. Input files are loaded in memory using a lazy procedure ...the input file via a Factory patterns, in such a way that new ...

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