Area of Interest:

Computer Sciences

100%

Information Technology

62%

Computational Intelligence

90%

Language Computing

75%

Theoretical Computing

55%

Research Publications in Numbers

Books
0

Chapters
0

Articles
0

Abstracts
0

Selected Publications

Shetty, K. and C.V. Aravinda, 2022. An effective data clustering system using weighted k-means and firefly optimization algorithms. An Effective Data Clustering System using Weighted K-Means and Firefly Optimization Algorithms, November 19-20, 2021, IEEE, Manhattan, New York, pp: 270-275.
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Aravinda, C.V., M. Lin, K.R.U.K. Reddy and G.A. Prabhu, 2022. A deep learning approach for the prediction of heart attacks based on data analysis. In: Deep Learning for Medical Applications with Unique Data, Gupta, D., U. Kose, A. Khanna and V.E. Balas (Eds.), Academic Press, Cambridge, Massachusetts, ISBN: 978-0-12-824145-5, pp: 1-18.
CrossRef | Direct Link |
Alharbi, A.H., C.V. Aravinda, M. Lin, B. Ashwini, M.Y. Jabarulla and M.A. Shah, 2022. Detection of peripheral malarial parasites in blood smears using deep learning models. Comput. Intell. Neurosci., Vol. 2022. 10.1155/2022/3922763.
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Yue, X., H. Li, K. Saho, K. Uemura, C.V. Aravinda and L. Meng, 2021. Machine learning based apathy classification on doppler radar image for the elderly person. Procedia Comput. Sci., 187: 146-151.
CrossRef | Direct Link |
Shetty, S.V., A. Kulkarni, S. Negi, S. Raghu, C.V. Aravinda and G. Hebbar, 2021. Water table analysis using machine learning. In: Emerging Research in Computing, Information, Communication and Applications, Shetty, N.R., L.M. Patnaik, H.C. Nagaraj, P.N. Hamsavath and N. Nalini, Springer, Singapore, ISBN: 978-981-16-1338-8, pp: 169–180.
CrossRef | Direct Link |
Shalini, H. and C.V. Aravinda, 2021. An IoT-Based Predictive Analytics for Estimation of Rainfall for Irrigation. In: Advances in Artificial Intelligence and Data Engineering, Chiplunkar, N.N. and T. Fukao (Eds.), Springer, Singapore, ISBN: 978-981-15-3514-7, pp: 1399–1413.
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Bhat, K., U.K.K.R. Reddy, R.H.S. Kumar and D. Mahto, 2021. A novel scheme for lossless authenticated multiple secret images sharing using polynomials and extended visual cryptography. IET Inf. Secur., 15: 13-22.
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Aravinda, C.V., K.R.U.K. Reddy, L. Meng and G.A. Prabhu, 2021. South Indian character recognition using statistical feature extraction and distance classifier. 2020 International Conference on Advanced Mechatronic Systems (ICAMechS), December 10-13, 2020, IEEE, Hanoi, Vietnam, 302-307.
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Akshaya, Betrabet, R.P. and C.V. Aravinda, 2021. Predictive Analysis of Malignant Disease in Woman Using Machine Learning Techniques. In: Predictive Analysis of Malignant Disease in Woman Using Machine Learning Techniques, Chiplunkar, N.N. and T. Fukao, Springer, Singapore, ISBN: 978-981-15-3514-7, pp: 431–438.
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Nojiri, N., Z. Meng, K. Saho, Y. Duan and K. Uemura et al., 2020. Apathy classification based on doppler radar image for the elderly person. Front. Bioeng. Biotechnol., Vol. 8. 10.3389/fbioe.2020.553847.
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Puneeth, B.U. and C.V. Aravinda, 2016. Wearable component based navigation assistance for physically challenged people. Int. Res. J. Eng. Technol., 3: 1927-1930.
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Aravinda, C.V. and H.N. Prakash, 2016. Writer recognition for South Indian languages using statistical feature extraction and distance classifier. Int. J. Nat. Lang. Comput., 5: 37-48.
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Hanumanthappa, J., D.H. Manjaiah and C.V. Aravinda, 2010. Role of IPv6 over Fibre (FIPv6): Issues and challenges. Int. J. Comput. Sci. Eng., 2: 993-1002.
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