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Cluster Count sentence examples within export levels namely

export levels namely

So that an assessment is obtained based on the fruit export index with 2 cluster countries with high export levels, namely China & Malaysia, 2 cluster countries with low export levels, namely Vietnam & Thailand, and 6 cluster countries with low export levels, namely Hong Kong, Singapore, Nigeria, India, Japan, United Arab Emirates.

Clustering Clustering Data Eskspor Buah-Buahan Berdasarkan Negera Tujuan Menggunakan Algoritma K-Means

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Cluster Count sentence examples within Galaxy Cluster Count

Galaxy Cluster Count

We develop a simple theoretical model for the number density (mass function) of dark matter halos, which explains why high-mass halos are so rare and which is useful for obtaining cosmological constraints from galaxy cluster counts.

Growth of structure: beyond linear theory

Galaxy Cluster Count

Galaxy cluster counts provide a robust probe of the formation of structures in the Universe.

Constraining ultra-light axions with galaxy cluster number counts

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Cluster Count sentence examples within cluster count per

cluster count per

These include changes to perforation count per cluster, cluster spacing, cluster count per stage, stage length, perforation charge size and treatment rates and volumes.

Proppant Distribution in Newly Completed and Re-Fractured Wells - An Eagle Ford Shale Case Study

cluster count per

Some key parameters investigated in this study included perforation parameters (size, orientation, number), cluster spacing, cluster count per stage, fluid properties, proppant properties, pumping rates, casing sizes, and stress shadow effects, etc.

Achieving Perfect Fluid and Proppant Placement in Multi-Stage Fractured Horizontal Wells: A CFD Modeling Approach

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10.2118/204186-MS

These include changes to perforation count per cluster, cluster spacing, cluster count per stage, stage length, perforation charge size and treatment rates and volumes.

Proppant Distribution in Newly Completed and Re-Fractured Wells - An Eagle Ford Shale Case Study

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10.3390/su13158295

Self-organizing neural networks possess the capability to cluster countries in the space domain based on their similar characteristics, with respect to their COVID-19 cases.

Spatial and Temporal Spread of the COVID-19 Pandemic Using Self Organizing Neural Networks and a Fuzzy Fractal Approach

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10.3390/en14175509

The model inputs include fluid volume, proppant amount, cluster counts, stage counts, total horizontal lateral length, gas saturation, total organic carbon content, condensate-gas ratio.

Machine Learning-Based Production Prediction Model and Its Application in Duvernay Formation

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10.1007/s12652-020-01999-9

However this research work might degrades its clustering performance with respect to energy and time in case of more cluster count generation and also optimal route path construction is also not performed correctly.

A hybrid swarm intelligent framework to support efficient military communication in MANET

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10.1007/s11067-021-09547-4

The analysis allows to cluster countries by interconnections, economic power and intensity of trade, giving an important overview on the international trade patterns.

Multi-Attribute Community Detection in International Trade Network

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10.25115/EEA.V39I3.4784

Evaluation of the countries is provided by constructed socio-economic taxonomic measures, which are used to cluster countries into homogenous classes, with particular emphasis on the position of China in these comparisons, and to distinguish potential directions of the investment.

Level of socio-economic development of Silk Road Initiative countries. Taxonomic Approach

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10.1038/s41598-021-87230-x

We show that our model generates highly accurate forecasts up to seven days ahead and use estimated model components to cluster countries based on recent events.

Global short-term forecasting of COVID-19 cases

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10.21123/bsj.2021.18.2(suppl.).1001

The cluster and the cluster count were then computed through the cluster-wise Jaccard index of the membership of the multipaths to their clusters.

Wireless Propagation Multipaths using Spectral Clustering and Three-Constraint Affinity Matrix Spectral Clustering

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10.1140/epjp/s13360-021-01810-4

Possible solutions are discussed, including classical RICH counters, time-of-flight systems, and dE/dx and cluster counting.

Particle identification at FCC-ee

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10.24018/ejbmr.2021.6.4.883

This paper examines the use of tax havens by MNEs located in business clusters versus their non-cluster counterparts.

The Use of Tax Havens by MNEs in Business Clusters: A Cross-country and Firm-level Analysis

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10.1109/ACCESS.2021.3092509

Clustering protocols proposed in the literature can be classified according to different criteria related to their features such as the clustering methodology, objectives, cluster count and size, etc.

Towards Energy Efficient Clustering in Wireless Sensor Networks: A Comprehensive Review

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10.1051/0004-6361/202039123

This is key toward precision cosmology using cluster counts as a probe.

The mass function dependence on the dynamical state of dark matter haloes

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10.3390/cancers13020268

The associations of CTC and CTC-cluster counts with progression-free survival (PFS) and overall survival (OS), individually and jointly, were evaluated by Cox models.

Improved Prognostic Stratification Using Circulating Tumor Cell Clusters in Patients with Metastatic Castration-Resistant Prostate Cancer

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10.1080/03091902.2021.1893398

Using the open-access data and machine learning algorithms, this paper aims to cluster countries in groups with similar profiles with respect to the country level pre COVID-19 pandemic parameters.

A region-specific clustering approach to investigate risk-factors in mortality rate during COVID-19: comprehensive statistical analysis from 208 countries

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10.1088/1475-7516/2021/07/022

This improvement is mainly driven by cluster counts from Planck Sunyaev-Zeldovich data that we include as a certain prior.

J-PAS: forecasts for dark matter-dark energy elastic couplings

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10.47059/revistageintec.v11i4.2408

Proper selection of cluster count gives better clustering results in partition models.

A Comprehensive Study on the Importance of the Elbow and the Silhouette Metrics in Cluster Count Prediction for Partition Cluster Models

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10.2118/204182-MS

Some key parameters investigated in this study included perforation parameters (size, orientation, number), cluster spacing, cluster count per stage, fluid properties, proppant properties, pumping rates, casing sizes, and stress shadow effects, etc.

Achieving Perfect Fluid and Proppant Placement in Multi-Stage Fractured Horizontal Wells: A CFD Modeling Approach

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10.1109/TCBB.2019.2947051

Here, we describe a significant algorithmic modification of the dynamic programming formulations that compute the cluster counts of all optimal species trees from which various types of consensus trees can be efficiently computed.

Consensus of All Solutions for Intractable Phylogenetic Tree Inference

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10.26877/asset.v3i1.8461

The k-means method and k-medians method are methods for cluster countries based on GII.

Implementation of K-Means and K-Medians Clustering in Several Countries Based on Global Innovation Index (GII) 2018

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10.1101/2021.02.08.21251339

Here we conduct spatial and temporal multivariate statistical analyses of global Covid-19 cases and deaths for the period spanning January to August 2020, using a variety of distance based multivariate methods to cluster countries according to similar temporal trends in cases and deaths resulting from COVID-19.

Multivariate spatio-temporal analysis of the global COVID-19 pandemic

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10.21203/RS.3.RS-435537/V1

Data on six World Bank good governance indicators for 172 countries for 2019 and machine-learning methods (K-Means Method and Principal Component Analysis) were used to cluster countries based on these indicators and COVID-19 vaccination rates.

The Role of Good Governance in the Race for Global Vaccination during the COVID-19 Pandemic

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10.1109/IEMTRONICS52119.2021.9422621

This grouping along with Covid-19 epidemiology data was used to cluster countries over a period of time after Covid-19 struck.

Machine Learning Approach For Clustering Of Countries To Identify The Best Strategies To Combat Covid-19

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Cluster Count
Encyclopedia

What is/are Cluster Count?

Cluster Count - These include changes to perforation count per cluster, cluster spacing, cluster count per stage, stage length, perforation charge size and treatment rates and volumes. [1] Self-organizing neural networks possess the capability to cluster countries in the space domain based on their similar characteristics, with respect to their COVID-19 cases. [2] The model inputs include fluid volume, proppant amount, cluster counts, stage counts, total horizontal lateral length, gas saturation, total organic carbon content, condensate-gas ratio. [3] However this research work might degrades its clustering performance with respect to energy and time in case of more cluster count generation and also optimal route path construction is also not performed correctly. [4] The analysis allows to cluster countries by interconnections, economic power and intensity of trade, giving an important overview on the international trade patterns. [5] Evaluation of the countries is provided by constructed socio-economic taxonomic measures, which are used to cluster countries into homogenous classes, with particular emphasis on the position of China in these comparisons, and to distinguish potential directions of the investment. [6] We show that our model generates highly accurate forecasts up to seven days ahead and use estimated model components to cluster countries based on recent events. [7] The cluster and the cluster count were then computed through the cluster-wise Jaccard index of the membership of the multipaths to their clusters. [8] Possible solutions are discussed, including classical RICH counters, time-of-flight systems, and dE/dx and cluster counting. [9] This paper examines the use of tax havens by MNEs located in business clusters versus their non-cluster counterparts. [10] Clustering protocols proposed in the literature can be classified according to different criteria related to their features such as the clustering methodology, objectives, cluster count and size, etc. [11] This is key toward precision cosmology using cluster counts as a probe. [12] The associations of CTC and CTC-cluster counts with progression-free survival (PFS) and overall survival (OS), individually and jointly, were evaluated by Cox models. [13] Using the open-access data and machine learning algorithms, this paper aims to cluster countries in groups with similar profiles with respect to the country level pre COVID-19 pandemic parameters. [14] This improvement is mainly driven by cluster counts from Planck Sunyaev-Zeldovich data that we include as a certain prior. [15] Proper selection of cluster count gives better clustering results in partition models. [16] Some key parameters investigated in this study included perforation parameters (size, orientation, number), cluster spacing, cluster count per stage, fluid properties, proppant properties, pumping rates, casing sizes, and stress shadow effects, etc. [17] Here, we describe a significant algorithmic modification of the dynamic programming formulations that compute the cluster counts of all optimal species trees from which various types of consensus trees can be efficiently computed. [18] The k-means method and k-medians method are methods for cluster countries based on GII. [19] Here we conduct spatial and temporal multivariate statistical analyses of global Covid-19 cases and deaths for the period spanning January to August 2020, using a variety of distance based multivariate methods to cluster countries according to similar temporal trends in cases and deaths resulting from COVID-19. [20] Data on six World Bank good governance indicators for 172 countries for 2019 and machine-learning methods (K-Means Method and Principal Component Analysis) were used to cluster countries based on these indicators and COVID-19 vaccination rates. [21] This grouping along with Covid-19 epidemiology data was used to cluster countries over a period of time after Covid-19 struck. [22]

export levels namely

So that an assessment is obtained based on the fruit export index with 2 cluster countries with high export levels, namely China & Malaysia, 2 cluster countries with low export levels, namely Vietnam & Thailand, and 6 cluster countries with low export levels, namely Hong Kong, Singapore, Nigeria, India, Japan, United Arab Emirates. [1]

Galaxy Cluster Count

We develop a simple theoretical model for the number density (mass function) of dark matter halos, which explains why high-mass halos are so rare and which is useful for obtaining cosmological constraints from galaxy cluster counts. [1] Galaxy cluster counts provide a robust probe of the formation of structures in the Universe. [2]

cluster count per

These include changes to perforation count per cluster, cluster spacing, cluster count per stage, stage length, perforation charge size and treatment rates and volumes. [1] Some key parameters investigated in this study included perforation parameters (size, orientation, number), cluster spacing, cluster count per stage, fluid properties, proppant properties, pumping rates, casing sizes, and stress shadow effects, etc. [2]