Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks. - Koduru Hajarathaiah; Murali Krishna Enduri; Satish Anamalamudi; Tatireddy Subba Reddy; Srilatha Tokala (Entropy, 2022)

Convolutional Neural Networks for Automated Glaucoma Detection: Performance and Limitations. - Akash Bayyana; Jeyanand Vemulapati; Sai Hemanth Bathula; Gangula Rakesh; Srilatha Tokala; Murali Krishna Enduri (ICCCNT, 2023)

Performance Evaluation of Machine Learning and Neural Network Algorithms for Wine Quality Prediction. - Harika Kakarala; Asish Karthikeya Gogineni; Thadi Venkata Satya Murty; Srilatha Tokala; Murali Krishna Enduri; Satish Anamalamudi (ICCCNT, 2023)

Deep Learning Approaches for Detecting Psychological Instability: An Evaluation of Performance. - Thejo Thanvitha Majety; Kilaru Sravan; Borra Avinash; Srilatha Tokala; Murali Krishna Enduri; Satish Anamalamudi (ICCCNT, 2023)

A Crop Recommendation System Based on Nutrients and Environmental Factors Using Machine Learning Models and IoT. - Anishka Chauhan; Anuraag Tsunduru; Kishwar Parveen; Srilatha Tokala; Koduru Hajarathaiah; Murali Krishna Enduri (ICIT, 2023)

Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. - Srilatha Tokala; Murali Krishna Enduri; T. Jaya Lakshmi; Hemlata Sharma (Entropy, 2023)

Employing TF-IDF and Word2Vec Embeddings to Identify Multi-Class Toxicity Through Machine and Deep Learning Approaches. - Sanjana Singamsetty; Harshitha Somayajula; Anu Likitha Immadisetty; Keerthi Sree Konkimalla; Srilatha Tokala; Murali Krishna Enduri (OCIT, 2024)

Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection. - Srilatha Tokala; Murali Krishna Enduri; T. Jaya Lakshmi; Ashu Abdul; Jenhui Chen (IEEE Access, 2024)