Items where Author is "Tangirala, Jaya Lakshmi"

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]

NANDINI, YV, TANGIRALA, Jaya Lakshmi, KRISHNA ENDURI, Murali and JILANI, Zairul (2025). Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality. IEEE Access, 13, 12239-12254. [Article]

TOKALA, Srilatha, KRISHNA ENDURI, Murali, TANGIRALA, Jaya Lakshmi, ABDUL, Ashu and CHEN, Jenhui (2024). Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection. IEEE Access, 12, 164028-164062. [Article]

KARTHIK, Vempati Sai, VARDHAN, Gorla Pavan Sai Vishnu, REDDY, Kandula Lohith Ranganadha and TANGIRALA, Jaya Lakshmi (2024). Comparative Analysis of Community Detection Algorithms in Biological Networks. In: 2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS). IEEE. [Book Section]

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]

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]

SANKU, Satya Uday, PAVANI, Satti Thanuja, TANGIRALA, Jaya Lakshmi and CHIVUKULA, Rohit (2024). COVID-19 Literature Mining and Retrieval Using Text Mining Approaches. SN Computer Science, 5: 211. [Article]

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]

TANGIRALA, Jaya Lakshmi and BHAVANI, S. Durga (2023). Link prediction approach to recommender systems. Computing. [Article]

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]

KAPILA, Ramdas, RAGUNATHAN, Thirumalaisamy, SALETI, Sumalatha, TANGIRALA, Jaya Lakshmi and AHMAD, Mohd Wazih (2023). Heart Disease Prediction Using Novel Quine McCluskey Binary Classifier (QMBC). IEEE Access, 11, 64324-64347. [Article]

SALETI, Sumalatha, TANGIRALA, Jaya Lakshmi and AHMAD, Mohd Wazih (2022). Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework. IEEE Access, 10, 123301-123315. [Article]

KANDULA, Lohith Ranganatha Reddy, TANGIRALA, Jaya Lakshmi, ALLA, Kalavathi and CHIVUKULA, Rohit (2022). An intelligent prediction of phishing URLs using ML algorithms. International Journal of Safety and Security Engineering, 12 (3), 381-386. [Article]

CHIVUKULA, Rohit, TANGIRALA, Jaya Lakshmi, UDAY, Sanku Satya and PAVANI, Satti Thanuja (2021). Classifying clinically actionable genetic mutations using KNN and SVM. Indonesian Journal of Electrical Engineering and Computer Science, 24 (3), 1672-1679. [Article]

CHIVUKULA, Rohit, VAMSI, Mohan, TANGIRALA, Jaya Lakshmi and HARINI, Muddana (2021). Empirical study on Microsoft malware classification. International Journal of Advanced Computer Science and Applications, 12 (3), 509-515. [Article]

SANKU, Satya Uday, SATTI, Thanuja Pavani, TANGIRALA, Jaya Lakshmi and NANDINI, YV (2023). Classifying Human Activities Using Machine Learning and Deep Learning Techniques. 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, 19-29. [Book Section]

MANI SAKETH, Chennapragada VSS, PRANAY, Kakarla, SUSARLA, Akhila, RAVI RAM KARTHIK, Dukka, TANGIRALA, Jaya Lakshmi and NANDINI, YV (2023). A Study on Influence Maximization in Complex Networks. 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, 111-119. [Book Section]