Titlebook: Topical Drifts in Intelligent Computing; Proceedings of Inter Jyotsna Kumar Mandal,Pao-Ann Hsiung,Rudra Sankar D Conference proceedings 202

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A Novel Distributed Database Architectural Model for Mobile Cloud ComputingHere, in this paper, we proposed a Novel distributed database architectural model for mobile cloud computing (NDDAMMCC). Accelerating the exponential growth of wireless technologies and Internet which are following Nielsen’s Law of Internet Bandwidth, we are in the new era of cloud computing. In the

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Conference proceedings 2022 tracks are (i) computing in network security, AI and data science; (ii) contemporary issues in electronics, and communication technology; and (iii) intelligent computing in electrical power, control systems and energy technology..

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A Ternary Sentiment Classification of Bangla Text Data using Support Vector Machine and Random Forest Classifierd trigrams to illustrate how contextual information affects the overall performance of the classifiers. The dataset we used in this paper is imbalanced, which resembles natural characteristics of opinions in day-to-day life.

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An SVM-Based Approach to Predicting Level of Job Anxiety in Corporate Professionals using Linguistic Markers on Twitterweets from 90 random users (manually labelled for their job anxiety scores according to the job anxiety scale) were used to train/test an SVM regression model. The model achieved an RMSE of 0.2 and an accuracy of 83%. This approach has the potential to enable early detection of work anxiety and alert individuals about their mental health.

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A Universal Dependency Treebank for Definitely Endangered Low-Resource Kangri Languagearning and typological research as well as serve as a significant resource in the development of language technology tools. KDTB data contain syntactic annotation according to dependency-constituency schema, as well as morphological tags. The Kangri UD treebank (KDTB) consists of 2249 tokens and 1108 vocabulary (288 sentences).