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Sujith Samuel Mathew

Biographic Data

ID9638937
NAMESujith Samuel Mathew
GIVEN NAMESSujith Samuel
FAMILY NAMEMathew
SIGNATUREMATHEW S S
AFFILIATIONSZayed University
ORCID0000-0001-7648-7458
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS3
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX1
  • The relationship between citizen readiness and the intention to continuously use smart city services

    Open Access•May El Barachi, Taghreed Abu Salim et al.•ARTICLE•Technology in Society•2022•Cited by: 2•References: 106

  • DeeProBot

    Open Access•Kadhim Hayawi, Sujith Mathew et al.•ARTICLE•Social Network Analysis and Mining•2022•Cited by: 1•References: 37

    Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…

  • Effects of smart city service channel- and user-characteristics on user satisfaction and continuance intention

    Open Access•Taghreed Abu Salim, May El Barachi et al.•ARTICLE•Information Technology and People•2021

    Purpose Smart city services (SCS) in contrast with other technology-based services, demand significant interaction and collaboration between the users and the service providers. This study examines the SCS delivery-channel characteristics and the users' personal (behavioral and demographic) characteristics that influence their satisfaction or dissatisfaction with the services, as well as their intention to adopt (i.e. continue using) the SCS-deli…

  • The relationship between citizen readiness and the intention to continuously use smart city services

    Open Access•May El Barachi, Taghreed Abu Salim et al.•ARTICLE•Technology in Society•2022•Cited by: 2•References: 106

  • DeeProBot

    Open Access•Kadhim Hayawi, Sujith Mathew et al.•ARTICLE•Social Network Analysis and Mining•2022•Cited by: 1•References: 37

    Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…

  • Effects of smart city service channel- and user-characteristics on user satisfaction and continuance intention

    Open Access•Taghreed Abu Salim, May El Barachi et al.•ARTICLE•Information Technology and People•2021

    Purpose Smart city services (SCS) in contrast with other technology-based services, demand significant interaction and collaboration between the users and the service providers. This study examines the SCS delivery-channel characteristics and the users' personal (behavioral and demographic) characteristics that influence their satisfaction or dissatisfaction with the services, as well as their intention to adopt (i.e. continue using) the SCS-deli…

  • The relationship between citizen readiness and the intention to continuously use smart city services

    Open Access•May El Barachi, Taghreed Abu Salim et al.•ARTICLE•Technology in Society•2022•Cited by: 2•References: 106

  • DeeProBot

    Open Access•Kadhim Hayawi, Sujith Mathew et al.•ARTICLE•Social Network Analysis and Mining•2022•Cited by: 1•References: 37

    Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…

Computer Science (3 works) · Applied Psychology (2 works) · Business (2 works) · Marketing (2 works) · Psychology (2 works) · Social Psychology (2 works) · Technology Adoption and User Behaviour (2 works) · Advanced Malware Detection Techniques (1 work) · Affect (linguistics (1 work) · Applied Psychology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae