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ORCIDT. Jaya Lakshmi
Person information
- affiliation: SRM University AP, Department of Computer Science and Engineering, Algorithms and Complexity Theory Laboratory, Andhra Pradesh, India
- affiliation: Sheffield Hallam University, Department of Computing, UK
- affiliation (PhD 2019): University of Hyderabad, School of Computer and Information Sciences, India
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2020 – today
- 2024
[j9]Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri
, Hemlata Sharma, Mohd Wazih Ahmad:
Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks. IEEE Access 12: 51208-51222 (2024)- [j8]T. Jaya Lakshmi, S. Durga Bhavani:
Link prediction approach to recommender systems. Computing 106(7): 2157-2183 (2024) - [j7]Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Hemlata Sharma:
Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score. Entropy 26(6): 433 (2024) - [j6]Satya Uday Sanku, Satti Thanuja Pavani, T. Jaya Lakshmi, Rohit Chivukula:
COVID-19 Literature Mining and Retrieval Using Text Mining Approaches. SN Comput. Sci. 5(2): 211 (2024) - 2023
- [j5]Ramdas Kapila, Thirumalaisamy Ragunathan, Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad:
Heart Disease Prediction Using Novel Quine McCluskey Binary Classifier (QMBC). IEEE Access 11: 64324-64347 (2023) - [j4]Srilatha Tokala, Murali Krishna Enduri, T. Jaya Lakshmi, Hemlata Sharma:
Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. Entropy 25(9): 1360 (2023) - [c8]Satya Uday Sanku, Satti Thanuja Pavani, T. Jaya Lakshmi, Y. V. Nandini:
Classifying Human Activities Using Machine Learning and Deep Learning Techniques. FICTA (2) 2023: 19-29 - [c7]Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri:
Link Prediction in Complex Networks: An Empirical Review. FICTA (2) 2023: 57-67 - [c6]Chennapragada V. S. S. Mani Saketh, Kakarla Pranay, Akhila Susarla, Dukka Ravi Ram Karthik, T. Jaya Lakshmi, Y. V. Nandini:
A Study on Influence Maximization in Complex Networks. FICTA (2) 2023: 111-119 - 2022
- [j3]Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad:
Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework. IEEE Access 10: 123301-123315 (2022) - [j2]Sriramulu Bojjagani, P. V. Venkateswara Rao, Dinesh Reddy Vemula, B. Ramachandra Reddy, T. Jaya Lakshmi:
A secure IoT-based micro-payment protocol for wearable devices. Peer-to-Peer Netw. Appl. 15(2): 1163-1188 (2022) - [i3]Sanku Satya Uday, Satti Thanuja Pavani, T. Jaya Lakshmi, Rohit Chivukula:
Classifying Human Activities using Machine Learning and Deep Learning Techniques. CoRR abs/2205.10325 (2022) - [i2]Sanku Satya Uday, Satti Thanuja Pavani, T. Jaya Lakshmi, Rohit Chivukula:
COVID-19 Literature Mining and Retrieval using Text Mining Approaches. CoRR abs/2205.14781 (2022) - 2021
- [c5]Sumalatha Saleti, Jaya Lakshmi Tangirala, Thirumalaisamy Ragunathan:
Distributed Mining of High Utility Time Interval Sequential Patterns with Multiple Minimum Utility Thresholds. IEA/AIE (1) 2021: 86-97 - [i1]T. Jaya Lakshmi, S. Durga Bhavani:
Link Prediction Approach to Recommender Systems. CoRR abs/2102.09185 (2021)
2010 – 2019
- 2018
- [c4]T. Jaya Lakshmi, S. Durga Bhavani:
Link Prediction Measures in Various Types of Information Networks: A Review. ASONAM 2018: 1160-1167 - 2017
- [j1]T. Jaya Lakshmi, S. Durga Bhavani:
Temporal probabilistic measure for link prediction in collaborative networks. Appl. Intell. 47(1): 83-95 (2017) - [c3]T. Jaya Lakshmi, S. Durga Bhavani:
Link Prediction in Temporal Heterogeneous Networks. PAISI 2017: 83-98 - 2015
- [c2]T. Jaya Lakshmi, S. Durga Bhavani:
Enhancement to community-based multi-relational link prediction using co-occurrence probability feature. CODS 2015: 86-91 - 2014
- [c1]T. Jaya Lakshmi, S. Durga Bhavani:
Heterogeneous link prediction based on multi relational community information. COMSNETS 2014: 1-4
Coauthor Index
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