R
Ram Gopal Raj
Researcher at Information Technology University
Publications - 62
Citations - 1825
Ram Gopal Raj is an academic researcher from Information Technology University. The author has contributed to research in topics: Artificial neural network & Feature extraction. The author has an hindex of 20, co-authored 62 publications receiving 1380 citations. Previous affiliations of Ram Gopal Raj include Sukkur Institute of Business Administration & University of Malaya.
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The artificial neural network for solar radiation prediction and designing solar systems: a systematic literature review
Atika Qazi,Atika Qazi,H. Fayaz,A. Wadi,Ram Gopal Raj,Nasrudin Abd Rahim,Nasrudin Abd Rahim,Waleed Khan +7 more
TL;DR: The accuracy of solar radiation prediction models is found to be dependent on input parameters and architecture type algorithms utilized and artificial neural network as compared to other empirical models is capable to deal with many input meteorological parameters, which make it more accurate and reliable.
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A concept-level approach to the analysis of online review helpfulness
Aika Qazi,Karim Bux Shah Syed,Ram Gopal Raj,Erik Cambria,Muhammad Tahir,Daniyal M. Alghazzawi +5 more
TL;DR: This study focuses on uninvestigated factors by looking at not just the quantitative factors, but also qualitative aspects of reviewers, including review types such as the regular, comparative and suggestive reviews and reviewer helpfulness and builds a conceptual model for helpfulness prediction.
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LIS journals scientific impact and subject categorization: a comparison between Web of Science and Scopus
TL;DR: The study compares the coverage, ranking, impact and subject categorization of Library and Information Science journals, specifically, 79 titles based on data from Web of Science and 128 titles from Scopus to reveal the changes in journal title rankings when normalized.
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Assessing consumers' satisfaction and expectations through online opinions: Expectation and disconfirmation approach
Atika Qazi,Atika Qazi,Atika Qazi,Alireza Tamjidyamcholo,Ram Gopal Raj,Glenn Hardaker,Craig Standing +6 more
TL;DR: It is implied that regular, comparative and suggestive opinions have a positive effect in raising users’ expectations, and sentiment words proved to be a full mediator in predicting user satisfaction with a purchased item.
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Exploring the relationship between urbanized Malaysian youth and their mobile phones: A quantitative approach
TL;DR: The salient results indicate respondents in this study consider brand, trend and price to be the three most important purchasing factors while socializing and privacy emerged as the two most important reasons to use mobile phones.