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Akademický článek

Adaptive video streaming over HTTP through 4G wireless networks based on buffer analysis

Autor: L. Arun Raj, Dhananjay Kumar, H. Iswarya, S. Aparna, A. Srinivasan

Publikováno v: EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-13 (2017)

Abstract One of the main challenges in video transmission is understanding and adapting to the varying network bandwidth. The traditional approach of bandwidth estimation is not accurate as there are many factors like congestion that can delay the ar

Externí odkaz: https://doaj.org/article/3ae2f416978e4e46941e556f2ee95af9

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Expression invariant face recognition based on multi-level feature fusion and transfer learning technique

Autor: P. M. Ashok Kumar, L. Arun Raj, K. Martin Sagayam, N. Sree Ram

Publikováno v: Multimedia Tools and Applications. 81:37183-37201

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03fcd6f4020279ee2469e2a81280a8da
https://doi.org/10.1007/s11042-022-13538-z

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Novel Framework for Improving the Correctness of Reference Answers to Enhance Results of ASAG Systems

Autor: T. R. Akila Devi, K. Javubar Sathick, A. Abdul Azeez Khan, L. Arun Raj

Publikováno v: SN Computer Science. 4

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a03c15568c1eb87d69968d6bc794fda6
https://doi.org/10.1007/s42979-023-01682-8

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A Novel Framework Using Zero Shot Learning Technique for a Non-Factoid Question Answering System

Autor: L. Arun Raj, T R Akila Devi, K. Javubar Sathick, A. Abdul Azeez Khan

Publikováno v: International Journal of Web-Based Learning and Teaching Technologies. 16:1-13

Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated summary. This paper pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c0295e210e02e3513a95fcfc11cdb1c
https://doi.org/10.4018/ijwltt.20211101.oa12

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Detection of Malicious Profiles and Protecting Users in Online Social Networks

Autor: M. Senthil Raja, L. Arun Raj

Publikováno v: Wireless Personal Communications. 127:107-124

Everyone today actively uses online social networks to get in touch with their friends, for career opportunities, and business also. Some of the most popular social networks are Facebook, Instagram, LinkedIn, and Twitter. But the question is how much

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc3386f4f5140711e44ce33817d1910a
https://doi.org/10.1007/s11277-021-08095-x

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Classification of traffic over collaborative IoT and Cloud platforms using deep learning recurrent LSTM

Autor: Sonali Appasaheb Patil, L. Arun Raj

Publikováno v: Computer Science. 22

Internet of Things (IoT) and cloud based collaborative platforms are emerging as new infrastructures during recent decades. The classification of network traffic in terms of benign and malevolent traffic is indispensable for IoT-cloud based collabora

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6dd4f020b61f4d24e63e642c320de158
https://doi.org/10.7494/csci.2021.22.3.3968

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Ontology Supported Hybrid Recommender System With Threshold Based Nearest Neighbourhood Approach

Autor: A. Anny Leema, Zameer Gulzar, L. Arun Raj

Publikováno v: International Journal of Information and Communication Technology Education. 15:85-107

Traditional e-learning systems lack the personalization feature to guide learners for selecting the most suitable courses needed. Choosing appropriate courses in the seminal years is important for a future learner who depends on such decisions, as se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bcd46cd5cab7f14ca7dcc2af369d1c4d
https://doi.org/10.4018/ijicte.2019040106

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An Effective E-Learning Mechanism to Meet the Learning Demand of Industry 4.0

Autor: L. Arun Raj, A. Jaya, Ho Chiung Ching, P. Sheik Abdul Khader, A. Abdul Azeez Khan, K. Javubar Sathick

Publikováno v: Industry 4.0 Interoperability, Analytics, Security, and Case Studies

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e1654ab7ae1f6bbfc74a02dbc50691a
https://doi.org/10.1201/9781003048855-15

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Prediction of IoT Traffic Using the Gated Recurrent Unit Neural Network- (GRU-NN-) Based Predictive Model

Autor: Bhupesh Kumar Singh, L. Arun Raj, Sonali Appasaheb Patil

Publikováno v: Security and Communication Networks, Vol 2021 (2021)

Prediction of IoT traffic in the current era has attracted noteworthy attention to utilize the bandwidth and channel capacity optimally. In this paper, the problem of IoT traffic prediction has been studied, and solutions have been proposed by using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b86410ae13ed42bf049d41b7f5c41ab

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Survey on Crime Analysis and Prediction Using Data Mining and Machine Learning Techniques

Autor: J. Selvaprabu, K. Javubar Sathick, L. Arun Raj, P. Saravanan, A. Abdul Azeez Khan

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811572401

Crime is an unlawful event which affects the harmony of humanity. Whoever got victimized in a crime, it affects them both physically and mentally. Hence, they are haunted by the memories throughout their life. Due to the limitations, traditional data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4bde901ca8a6d3ca9e32d6f33b79160a
https://doi.org/10.1007/978-981-15-7241-8_31

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