Items where Subject is "Information Visualisation"

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Balakrishna, R. and Anandan, R. (2020) Feature Classification and Analysis of Acute and Chronic Pancreatitis Using Supervised Machine Learning Algorithm. In: Feature Classification and Analysis of Acute and Chronic Pancreatitis Using Supervised Machine Learning Algorithm. Springer, pp. 241-249.

Betty Jane, J. and Ganesh, E. N. (2019) A Fuzzy Logic Decision Making Of Student Performance Using Minimization of Weighted Regret Method. International Journal of Engineering and Advanced Technology, 8 (6). pp. 1042-1046. ISSN 2249-8958

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Padmavathy, V. and Sakthiivanitha, M. and Balajikannan, - and Poornima, V. and Maruthi, R. (2024) A Comprehensive Overview of Internet of NanoThings and its Applications. EAI Endorsed Transactions on Internet of Things, 10. ISSN 2414-1399

Pavani, Somireddy and Sahayadhas, Arun (2025) A Lightweight DNA Inspired Logistic Leo Based Attribute Encryption Scheme for Mutual Authentication in Smart IoT Medical System. Journal Européen des Systèmes Automatisés, 58 (6). ISSN 12696935

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Ramyaalakshmi, A and Poonguzhali, S (2024) Examine the Incorporation of Integration of Imaging Data for Orthodontic Prediction. In: 2024 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India.

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S, Bavya and Kumar.V, Saravana and M, Kavitha and S, Anantha SivaPrakasam (2024) Segmentation of Skin Lesion Image Using FCM with Color Transformation Saliency. In: 2024 International Conference on Computing and Data Science (ICCDS), Chennai, India.

Savitri, Goparaju (2024) Advancement in Generation and Application of Microfluidic Chip Technology. International Journal of Pharmaceutical Sciences and Nanotechnology(IJPSN), 17 (2). pp. 7277-7298. ISSN 0974-3278

Sivasankari, Manickavasagam and Anandan, R. (2020) Regression Analysis on Sea Surface Temperature. In: Intelligent Computing and Innovation on Data Science. Springer, pp. 595-601.

Sudharsan, R. and Ganesh, E. N. (2022) A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy. Connection Science, 34 (1). pp. 1855-1876. ISSN 0954-0091