Titlebook: Intelligent Computing and Applications; Proceedings of ICDIC B. Narendra Kumar Rao,R. Balasubramanian,Richi Nay Conference proceedings 2023

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,Classification of Credit Card Frauds Using Autoencoded Features,pe, credit grade, credit line, book balance, and other features from a European credit card dataset. Also, the performance of different machine learning algorithms compared for the classification consistency using encoded features. The results obtained are as follows: accuracy of 99.95%, 97.45% precision, 88.26% recall, and 92.36% F1-score.

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Code-Level Self-adaptive Approach for Building Reusable Software Components,is article presents the building of adaptive code-level reusable software components. A set of related components can be adaptive to create or modify a sample work product. For the work product, each product components are adaptive in their nature.

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B. Narendra Kumar Rao,R. Balasubramanian,Richi NayPresents research works in the field of data sciences.Results of ICDIC 2020 held in Sree Vidyanikethan Engineering College, Tirupati, India.Serves as a reference for researchers and practitioners in a

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Intelligent Computing and Applications978-981-19-4162-7Series ISSN 2190-3018 Series E-ISSN 2190-3026

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https://doi.org/10.1007/978-981-19-4162-7Artificial Intelligence; Expert Systems; Computational Intelligence; Machine Learning; Deep Learning; Cog

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Global South Doctoral Students and University Employment Services: Personalizing the Relationshipth’ and ‘employability,’ leading to insights into both the global south experience for doctoral students and their broader employability needs. We suggest that a shift towards relationship and agency is necessary to create an environment where global south students can enhance their employability as aligned with their own cultural circumstances.