Items where Author is "Enduri, Murali Krishna"

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Number of items: 6.

Article

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TOKALA, Srilatha, ENDURI, Murali Krishna, TANGIRALA, Jaya Lakshmi, HAJARATHAIAH, Koduru and SHARMA, Hemlata (2025). Empirical Analysis of Variations of Matrix Factorization in Recommender Systems. International Journal of Advanced Computer Science and Applications, 16 (1), 1117-1138. [Article]

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NANDINI, Y.V., LAKSHMI, T. Jaya, ENDURI, Murali Krishna and SHARMA, Hemlata (2024). Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score. Entropy, 26 (6): 433. [Article]

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NANDINI, YV, TANGIRALA, Jaya Lakshmi, ENDURI, Murali Krishna, SHARMA, Hemlata and AHMAD, Mohd Wazih (2024). Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks. IEEE Access, 12, 51208-51222. [Article]

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TOKALA, Srilatha, ENDURI, Murali Krishna, TANGIRALA, Jaya Lakshmi and SHARMA, Hemlata (2023). Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. Entropy, 25 (9): 1360. [Article]

Book Section

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TOKALA, Srilatha, ENDURI, Murali Krishna and TANGIRALA, Jaya Lakshmi (2024). Unleashing the Power of SVD and Louvain Community Detection for Enhanced Recommendations. In: TOMAR, G.S., (ed.) 2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 807-811. [Book Section]

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NANDINI, YV, TANGIRALA, Jaya Lakshmi and ENDURI, Murali Krishna (2023). Link Prediction in Complex Networks: An Empirical Review. In: BHAJETA, Vikrant, CARROLL, Fiona, TAVARES, João Manuel R. S., SENGHAR, Sandeep Singh and PEER, Peter, (eds.) Intelligent Data Engineering and Analytics. Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023). Smart Innovation, Systems and Technologies (371). Singapore, Springer Nature Singapore, 57-67. [Book Section]

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