Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Anandhakumar Palanisamy"'
Publikováno v:
ETRI Journal, Vol 40, Iss 4, Pp 499-510 (2018)
A vector space based augmented structural kinematic (VSASK) feature descriptor is proposed for human activity recognition. An action descriptor is built by integrating the structural and kinematic properties of the actor using vector space based augm
Externí odkaz:
https://doaj.org/article/e057a46672774d75976716c64175e8e4
Autor:
Anbarasu Sivalingam Anbarasu Sivalingam, Karthik Sundararajan Anbarasu Sivalingam, Anandhakumar Palanisamy Karthik Sundararajan
Publikováno v:
網際網路技術學刊. 24:045-054
Text processing is an important task in various machine learning applications. One among the applications is Sentiment analysis. However, the presence of sarcasm makes it difficult for analyzing the sentiment of the statement. In the current scenario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb0123d47a01c8742ccf9283b4bd0f3
https://doi.org/10.53106/160792642023012401005
https://doi.org/10.53106/160792642023012401005
Autor:
K. Bagirathan, Anandhakumar Palanisamy
Publikováno v:
Wireless Personal Communications. 123:473-494
Despite its various benefits, the Mobile Ad-hoc Network (MANET) has a number of obstacles due to its mobility, unstable topology, energy efficiency, and other factors. In such an environment, routing protocols are required to transfer packets from so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0ce28f12d2fe6099c46bb185f900af
https://doi.org/10.1007/s11277-021-09140-5
https://doi.org/10.1007/s11277-021-09140-5
Publikováno v:
International Journal of Communication Systems. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8a30d6f1c4dbb8c5f0b3cea4110b017
https://doi.org/10.1002/dac.4690
https://doi.org/10.1002/dac.4690
Autor:
Spiros Koulouzis, Nishant Saurabh, Anandhakumar Palanisamy, Radu Prodan, Mirsat Sefidanoski, Carlos Rubia
Publikováno v:
2020 IEEE Symposium on Computers and Communications (ISCC)
ISCC
ISCC
Social media applications are essential for next generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance issues over the created an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e9f1696637c72afa5872bf6d31ea26e
https://zenodo.org/record/4226524
https://zenodo.org/record/4226524
Publikováno v:
Intelligence in Big Data Technologies—Beyond the Hype ISBN: 9789811552847
P2P live video streaming offers improved scalability, content serving capacity, robustness, and reduced buffer time when compared to streaming from centralized server. The existing overlay structures suffer from skewing due to the churn scenario. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38306fbd26f9b39f91e9fb126665a5e9
https://doi.org/10.1007/978-981-15-5285-4_33
https://doi.org/10.1007/978-981-15-5285-4_33
Publikováno v:
Intelligence in Big Data Technologies—Beyond the Hype ISBN: 9789811552847
Sarcasm is one of the most popular ways of expressing one’s opinion on a specific subject. Sarcasm is an act of conveying a viewpoint with an opposite emotion. Identifying such statements among the textual information is an important challenge pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b51ab6020fba09dff6992cb18660f09c
https://doi.org/10.1007/978-981-15-5285-4_44
https://doi.org/10.1007/978-981-15-5285-4_44
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2020 (2020)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Sentimental analysis aims at inferring how people express their opinion over any piece of text or topic of interest. This article deals with detection of an implicit form of the sentiment, referred to as sarcasm. Sarcasm conveys the opposite of what
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17bd926e86b7e9203ee9c2a8e7d74431
https://doaj.org/article/f165878f86f14150a4d00000cc2d7baa
https://doaj.org/article/f165878f86f14150a4d00000cc2d7baa
Publikováno v:
ETRI Journal, Vol 40, Iss 4, Pp 499-510 (2018)
A vector space based augmented structural kinematic (VSASK) feature descriptor is proposed for human activity recognition. An action descriptor is built by integrating the structural and kinematic properties of the actor using vector space based augm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4715fcae566241bf9f08d090300a7cdf
https://doaj.org/article/e057a46672774d75976716c64175e8e4
https://doaj.org/article/e057a46672774d75976716c64175e8e4
Autor:
Adrian Pop, Anandhakumar Palanisamy, Bernt Lie, Adeel Asghar, Peter Fritzson, Lena Buffoni, Martin Sjölund, Alachew Mengist
Publikováno v:
Linköping Electronic Conference Proceedings
Modelica
Modelica
Modelica is an object oriented, acausal equation-based language for describing complex, hybrid dynamic models. About ten Modelica implementations exist, of which most are commercial and two are open source; the implementations have varying levels of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a140b3dc09397bc4dde77ac851836411
https://hdl.handle.net/11250/2645416
https://hdl.handle.net/11250/2645416