An empirical model of HTTP network traffic

An empirical model for multi-contact point haptic network traffic

Proceedings of the 2nd International ICST Conference on Immersive Telecommunications ◽

10.4108/immerscom.2009.18 ◽

2009 ◽

Cited By ~ 2

Author(s):

Mamun Abu-Tair ◽

Alan Marshall

Keyword(s):

Empirical Model ◽

Network Traffic ◽

Contact Point

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RFID network traffic analysis based on an empirical model

2012 9th International Conference on Communications (COMM) ◽

10.1109/iccomm.2012.6262549 ◽

2012 ◽

Cited By ~ 3

Author(s):

Adrian-Mihai Gaitan ◽

Valentin Popa ◽

Vasile-Gheorghita Gaitan ◽

Adrian-Ioan Petrariu ◽

Alexandru Lavric ◽

...

Keyword(s):

Empirical Model ◽

Network Traffic ◽

Traffic Analysis ◽

Network Traffic Analysis

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An Empirical Model of Network Traffic Classification for Identifying Anonymous Behavior

International Journal of Engineering Trends and Technology ◽

10.14445/22315381/ijett-v12p212 ◽

2014 ◽

Vol 12 (2) ◽

pp. 60-63

Author(s):

Vasanthi Pampana ◽

◽

J Peter Praveen

Keyword(s):

Empirical Model ◽

Network Traffic ◽

Traffic Classification ◽

Network Traffic Classification

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Toward an Empirical Model of Multicultural Competence in School Psychology

PsycEXTRA Dataset ◽

10.1037/e649642012-001 ◽

2012 ◽

Author(s):

David S. Goh ◽

Danielle Farrell ◽

Michele Baumann

Keyword(s):

School Psychology ◽

Empirical Model ◽

Multicultural Competence

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Urban Local Network Traffic Assignment Method Based on Turning Splitof Intersection

International Conference on Transportation Engineering 2009 ◽

10.1061/41039(345)152 ◽

2009 ◽

Author(s):

Hui Xiao ◽

Lijun Sun

Keyword(s):

Network Traffic ◽

Traffic Assignment ◽

Local Network ◽

Assignment Method

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261. Efficacy of Compliance Wood Dust Samples in Exposure Assessment: Investigations Through the Use of a Mixed Effects Empirical Model

10.3320/1.2763107 ◽

1999 ◽

Author(s):

A. Hall ◽

H. Davies ◽

P. Demers ◽

S. Marion ◽

K. Teschke

Keyword(s):

Exposure Assessment ◽

Empirical Model ◽

Mixed Effects ◽

Wood Dust

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Detection and Classification of Anomalies in Network Traffic Using Generalized Entropies and OC-SVM with Mahalanobis Kernel

10.3390/ecea-1-b004 ◽

2014 ◽

Author(s):

Jayro Santiago-Paz ◽

Deni Torres-Roman ◽

Angel Figueroa-Ypiña

Keyword(s):

Network Traffic ◽

Generalized Entropies

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Investigating the network traffic of Industry 4.0 applications – methodology and initial results

2020 16th International Conference on Network and Service Management (CNSM) ◽

10.23919/cnsm50824.2020.9269093 ◽

2020 ◽

Author(s):

Gabor Soos ◽

Daniel Ficzere ◽

Pal Varga

Keyword(s):

Network Traffic ◽

Industry 4.0 ◽

Initial Results

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Network traffic application type identification based on gravitational clustering

Management Innovation and Information Technology ◽

10.2495/miit130251 ◽

2014 ◽

Cited By ~ 1

Author(s):

Dengyin Zhang ◽

Xiuyun Li ◽

Jianfei Liao ◽

Mingxiang Wang

Keyword(s):

Network Traffic ◽

Gravitational Clustering

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Network Traffic Encryption by IPSec

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.912915 ◽

2019 ◽

Vol 7 (5) ◽

pp. 912-915

Author(s):

Manoj Kumar ◽

Amit Kishor

Keyword(s):

Network Traffic

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