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2020 – today
- 2024
[j3]Srilatha Tokala
, Murali Krishna Enduri, T. Jaya Lakshmi, Ashu Abdul, Jenhui Chen:
Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection. IEEE Access 12: 164028-164062 (2024)- 2023
- [j2]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) - [c4]Akash Bayyana, Jeyanand Vemulapati, Sai Hemanth Bathula, Gangula Rakesh, Srilatha Tokala, Murali Krishna Enduri:
Convolutional Neural Networks for Automated Glaucoma Detection: Performance and Limitations. ICCCNT 2023: 1-6 - [c3]Harika Kakarala, Asish Karthikeya Gogineni, Thadi Venkata Satya Murty, Srilatha Tokala, Murali Krishna Enduri, Satish Anamalamudi:
Performance Evaluation of Machine Learning and Neural Network Algorithms for Wine Quality Prediction. ICCCNT 2023: 1-6 - [c2]Thejo Thanvitha Majety, Kilaru Sravan, Borra Avinash, Srilatha Tokala, Murali Krishna Enduri, Satish Anamalamudi:
Deep Learning Approaches for Detecting Psychological Instability: An Evaluation of Performance. ICCCNT 2023: 1-6 - [c1]Anishka Chauhan, Anuraag Tsunduru, Kishwar Parveen, Srilatha Tokala, Koduru Hajarathaiah, Murali Krishna Enduri:
A Crop Recommendation System Based on Nutrients and Environmental Factors Using Machine Learning Models and IoT. ICIT 2023: 453-458 - 2022
- [j1]Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi, Tatireddy Subba Reddy, Srilatha Tokala:
Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks. Entropy 24(5): 704 (2022)
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