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Network size comparison with respect to datasets

Road network comparison and matching techniques. a workflow proposal for the integration of traffic message channel and open source network datasets

Road network comparison and matching techniques. a workflow proposal for the integration of traffic message channel and open source network datasets

... The project has developed a communication protocol to exchange information from vehicles fleets to Fleet Manager Centres and different TCCs in a bidirectional way, and a software component which aggregates measures. This ...

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Effects of Distance between Classes and Training Datasets Size to the Performance of XCS: Case of Imbalance Datasets

Effects of Distance between Classes and Training Datasets Size to the Performance of XCS: Case of Imbalance Datasets

... dataset size, we test performance of XCS in imbalance levels with respect to distance between classes, dis =9 and s=6 or ...training size level s=6 with imbalance level i=10, XCS reaches to 80% and ...

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Evaluation of Methods for Comparison of Spatiotemporal and Time Series Datasets

Evaluation of Methods for Comparison of Spatiotemporal and Time Series Datasets

... terabytes). In our preliminary investigations, we found that the best tool for distributing large matrices within R comes from the “Programming with Big Data in R” project (Ostrouchov et al. 2012) in the form of a ...

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Keywords of written reflection - a comparison between reflective and descriptive datasets

Keywords of written reflection - a comparison between reflective and descriptive datasets

... 2 Automated detection of reflection in texts Research in the area of automated detection of reflection aims at the development of those techniques and technologies that can automatically identify the characteristics of ...

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Combating Imbalance in Network Intrusion Datasets

Combating Imbalance in Network Intrusion Datasets

... separate datasets: one for training and one for ...large size of the packets dataset, we randomly split the dataset with 75% of the examples used in training and 25% used for testing, while maintaining the ...

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Comparison of anaerobic sludge granules from different wastewater plants with respect to granule size, substrate degradation and methanogenic community

Comparison of anaerobic sludge granules from different wastewater plants with respect to granule size, substrate degradation and methanogenic community

... The key for these reactions to occur lies with hydrogen, which is the predominant electron carrier between oxidative and reductive metabolic processes. Its small size and effective ability to diffuse makes it ...

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Top Location Anonymization for Geosocial Network Datasets

Top Location Anonymization for Geosocial Network Datasets

... The Split-Cluster algorithm (Algorithm 2) divides one oversized cluster into two clusters with minimum size k. It starts by assigning two randomly chosen users as cluster centers. In each iteration, every user is ...

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A Comparison of Machine Learning Classifiers Applied to Financial Datasets

A Comparison of Machine Learning Classifiers Applied to Financial Datasets

... Using k-fold cross validation, performance differed from that shown in training; in some cases worsening it. It was particularly noticeable for the case of the Decision Trees learning, since the classification rate ...

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Towards an Automated Comparison of OpenStreetMap with Authoritative Road Datasets

Towards an Automated Comparison of OpenStreetMap with Authoritative Road Datasets

... in comparison to authoritative datasets from National Mapping Agencies (NMA) and Commercial Mapping Companies ...road network datasets can be compared to NMA or CMC road network ...road ...

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Comparison of Clustering Algorithms for Learning Analytics with Educational Datasets

Comparison of Clustering Algorithms for Learning Analytics with Educational Datasets

... the size of the student cohorts generating ...huge datasets require proper analysis techniques, and different algorithms, tools and approaches may perform better in this specific ...

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What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network

What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network

... 0.0001 network convergence criterion, and an outer feedback loop (designed to meet a 1% RMSE ...With respect to the different combination scenarios (which rely on a set of model enhancements), adding both ...

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Characterization of silica content in gold mine dust with respect to particle size

Characterization of silica content in gold mine dust with respect to particle size

... of Size-fractionated Samples Size-segregation of particles was completed using the Microorifice Uniform Deposit Impactor ...and size fraction and analyzed by both IR and XRD methods, so that the ...

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A systematic comparison of spatial search strategies for open government datasets

A systematic comparison of spatial search strategies for open government datasets

... in datasets published in open government data portals, just like it is the case with the web, the capability of finding relevant datasets easily is of higher ...average size of a users web search ...

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A Review on Deep Learning Neural Network  Datasets for Satellite Imagery

A Review on Deep Learning Neural Network Datasets for Satellite Imagery

... a size of 256×25 pixels in the red green blue (RGB) color ...image size in comparison with other available datasets for Satellite imagery ...

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Comparison of Distributed File System for Cloud With Respect to Healthcare Domain

Comparison of Distributed File System for Cloud With Respect to Healthcare Domain

... FIGURE 3: ARCHITECT URE OF GOOGLE FILE SYST EM [8] A GFS cluster consists of a single master and multiple chunk servers and is accessed by mult iple clients, as shown in Figure. Each of these is typically a co mmodity ...

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A comparison of gridded sea surface temperature datasets for marine ecosystem studies

A comparison of gridded sea surface temperature datasets for marine ecosystem studies

... We chose to investigate SST anomalies based on climatologies derived for the period 1971 to 2000 and applied to the time period 1982 to 2010, when all SST data sets are available for comparative purposes. For ecologists ...

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Comparison and Evaluation of Methods for Liver Tumor Classification from CT Datasets

Comparison and Evaluation of Methods for Liver Tumor Classification from CT Datasets

... neural network such as BPN, PPN and CFBPN with FDCT, different grouping of texture features such as mean, standard deviation, variance, skewness, kurtosis, entropy, energy, IDM, cluster shade, cluster prominence, ...

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Comparison Performance of Lymphocyte Classification for Various Datasets using Deep Learning

Comparison Performance of Lymphocyte Classification for Various Datasets using Deep Learning

... Neural Network (CNN) is applied to the system to avoid complex structure and to eliminate the features extraction ...different datasets which are kaggle, LISC and ...

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A robust model structure selection method for small sample size and multiple datasets problems

A robust model structure selection method for small sample size and multiple datasets problems

... neural network models are lower than those of the other two ...the size of the data is very small, and that the power of neural networks is cannot be fully exploited for this small size data ...

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Estimating effect size across datasets

Estimating effect size across datasets

... effect size across datasets of our systems over their ...held-out datasets – that this method is significantly more predic- tive of success than the usual practice of using macro- or ...

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