Faculty Publications

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Publications by NITK Faculty

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    Computational Analysis of Online Hate Content using Cognitive -AI
    (Institute of Electrical and Electronics Engineers Inc., 2021) Chetty, N.; Alathur, S.; Andrews, D.; Kumar, V.
    As the hate content is expressed based on the identity of an individual, it is influencing communal violence in society. The inappropriate content can be detected and analyzed using automated AI systems. The purpose of this paper is to study the role of AI systems in the detection of online hate content and how the cognitive processes affect the behavior of an individual. Therefore, using related keywords in the research domain, the published articles are searched through different search engines. The information from the associated articles and sources is reported in the paper. The literature review revealed that social media platforms could use AI systems to detect and analyze online hate content. It has been observed that the cognitive process affects both the perpetrators and the victims of online hate content. The paper also highlights some of the challenges in controlling online hate content. The paper concludes with a note that the hate content can be reduced by building robust AI systems and healthier cognitive processes of an individual. © 2021 IEEE.
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    Challenges in developing the Ethiopian construction industry
    (Taylor and Francis Ltd. michael.wagreich@univie.ac.at, 2020) Mengistu, D.G.; Mahesh, G.
    To ensure continual improvement in the construction industry’s performance, its challenges must be identified so that integrated solutions that suit the context can be provided. The Ethiopian construction industry, like that in most developing countries, faces challenges that impede its development. This paper assesses four categories of challenges facing the industry, based on their sources: variables emanating from role of government, resource related variables, those related to the nature of the industry and variables emanating from the vision of the industry itself for its own development. Data for the study were collected through a questionnaire survey. Professionals from different background, such as contractors, consultants, clients, regulatory authority and academics were engaged in the survey. Mean score was used to identify the perceived impact level of the variables. Significant variables were identified and factor analysis was conducted to identify the underlying dimensions of the different sources. The major challenges are identified as: (i) delay in construction industry development (CID) policy implementation and corruption; (ii) weak capacity of contractors and consultants; (iii) lack of collaboration and professionalism; and (iv) lack of benchmarking CID practice from role of government, resource related variables, nature of the industry and industry’s vision for its own development, respectively. Findings provide information that stakeholders can use to make informed decisions and critical interventions for the effective development of the industry. © 2019, © 2019 African Journal of Science, Technology, Innovation and Development.