Conference Papers

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    Efficient user profiling in twitter social network using traditional classifiers
    (Springer Verlag service@springer.de, 2016) Raghuram, M.A.; Akshay, K.; Chandrasekaran, K.
    Any discussion in social media can be fruitful if the people involved in the discussion are related to a field. In a similar way to advertise an event, it is useful to find users who are interested in the content of the event. In social networks like Twitter, which contain a large number of users, the categorization of users based on their interests will help this cause. This paper presents an efficient supervised machine learning approach which categorizes Twitter users based on three important features(Tweet-based, User-based and Time-series based) into six interest categories - Politics, Entertainment, Entrepreneurship, Journalism, Science & Technology and Healthcare. We compare the proposed feature set with different traditional classifiers like Support Vector Machines, Naive-Bayes, k-Nearest Neighbours, Decision Tree and Logistic Regression, and obtain upto 89.82% accuracy in classification. We also propose a design for a real-time system for Twitter user profiling along with a prototype implementation. © Springer International Publishing Switzerland 2016.
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    A Detailed Case Study Report on a Section of Four-Lane National Highway Project of Bengaluru-Mangaluru
    (Springer Science and Business Media Deutschland GmbH, 2024) Srinivas, M.; Sinha, C.; Akshay, K.; Marella, D.
    A comprehensive study of the project titled “Four-laning of Bengaluru-Mangaluru from km 270 + 270 (Periya Shanthi) to km 318 + 755 (Bantwal)†was conducted to assess the project’s potential, necessities, and requirements. The evaluation also addressed the challenges encountered due to the project’s location in a mountainous terrain region. The major issue encountered and understood through this study was that the project is delayed more than usual due to many difficulties and challenges encountered by them under various circumstances. Based on the survey and research work done, it was understood that the region of Dakshina Kannada where the project is being done has high temperature during summers due to which ice cubes were used to maintain temperature for concrete batching. The objective of the project is to eliminate the hairpin bends which slowed down the traffic movement by straightening them to reduce congestion as there are many pilgrimage places, business hubs, and tourist places in the project vicinity. Some of the main reasons for the delay of the project was unseasonal rainfall, felling of trees, obstructing the Right of Way (ROW), the inability to move the utility units to the project site due to insufficient ROW, landslides, and many more reasons. Currently, the Extension of time (EOT) has been requested by the Contractor to NHAI, as the project has been delayed. This research paper further explores the detailed causes and gives a complete insight into the project. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.