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Satish Anamalamudi

Biographic Data

ID8677358
NAMESatish Anamalamudi
GIVEN NAMESSatish
FAMILY NAMEAnamalamudi
SIGNATUREANAMALAMUDI S
AFFILIATIONSSRM University
ORCID0000-0003-0042-2177
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Advancing human-computer interaction research through structural equation modelling

    Open Access•Isaac Osei, Chettupally Anil Carie et al.•ARTICLE•Frontiers in Human Dynamics•2026

    Purpose This paper addresses a methodological gap in Human-Computer Interaction (HCI) research by demonstrating how Partial Least Squares Structural Equation Modelling (PLS-SEM) can be used to analyse complex user behaviours, perceptions, and experiences in interactive systems, particularly within exploratory and user-centred research contexts. Design/methodology/approach The study situates PLS-SEM within HCI research and outlines practical steps…

  • Structural equation modelling in R

    Open Access•Isaac Osei, Chettupally Anil Carie et al.•ARTICLE•Methodological Innovations•2026

    This paper compares two popular R packages for structural equation modelling (SEM) – lavaan and seminr – to help researchers understand not only how they work, but also when each is most appropriate. Although both tools allow users to estimate the same structural models, they are grounded in different methodological traditions and are designed to support different research goals. Using an identical model, we estimated results with both covariance…

  • Deep SEM

    Open Access•Isaac Osei, Chettupally Anil Carie et al.•ARTICLE•Methodological Innovations•2026

    Structural Equation Modelling (SEM) has been widely applied in information systems, psychology, marketing, management, and other social science disciplines, providing a powerful framework for analysing relationships among latent variables. However, traditional SEM methods rely on assumptions of linearity and normality, which may limit their ability to represent complex or nonlinear data patterns. Recent advances in computational modelling have in…

  • An internet of software defined cognitive radio ad-hoc networks based on directional antenna for smart environments

    Open Access•Anil Carie, Mingchu Li et al.•ARTICLE•Sustainable Cities and Society•2018

No prominent works on this page.

  • An internet of software defined cognitive radio ad-hoc networks based on directional antenna for smart environments

    Open Access•Anil Carie, Mingchu Li et al.•ARTICLE•Sustainable Cities and Society•2018

  • Advancing human-computer interaction research through structural equation modelling

    Open Access•Isaac Osei, Chettupally Anil Carie et al.•ARTICLE•Frontiers in Human Dynamics•2026

    Purpose This paper addresses a methodological gap in Human-Computer Interaction (HCI) research by demonstrating how Partial Least Squares Structural Equation Modelling (PLS-SEM) can be used to analyse complex user behaviours, perceptions, and experiences in interactive systems, particularly within exploratory and user-centred research contexts. Design/methodology/approach The study situates PLS-SEM within HCI research and outlines practical steps…

  • Structural equation modelling in R

    Open Access•Isaac Osei, Chettupally Anil Carie et al.•ARTICLE•Methodological Innovations•2026

    This paper compares two popular R packages for structural equation modelling (SEM) – lavaan and seminr – to help researchers understand not only how they work, but also when each is most appropriate. Although both tools allow users to estimate the same structural models, they are grounded in different methodological traditions and are designed to support different research goals. Using an identical model, we estimated results with both covariance…

  • Deep SEM

    Open Access•Isaac Osei, Chettupally Anil Carie et al.•ARTICLE•Methodological Innovations•2026

    Structural Equation Modelling (SEM) has been widely applied in information systems, psychology, marketing, management, and other social science disciplines, providing a powerful framework for analysing relationships among latent variables. However, traditional SEM methods rely on assumptions of linearity and normality, which may limit their ability to represent complex or nonlinear data patterns. Recent advances in computational modelling have in…

Structural equation modeling (3 works) · Mental Health Research Topics (2 works) · Psychometric Methodologies and Testing (2 works) · Advanced MIMO Systems Optimization (1 work) · Advanced Statistical Modeling Techniques (1 work) · Antenna (radio) (1 work) · Artificial neural network (1 work) · Base station (1 work) · Cognitive radio (1 work) · Cognitive Radio Networks and Spectrum Sensing (1 work)

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