Srilatha Tokala
Orcid: 0009-0005-5222-8749
  According to our database1,
  Srilatha Tokala
  authored at least 8 papers
  between 2022 and 2024.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2024
Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection.
    
  
    IEEE Access, 2024
    
  
Employing TF-IDF and Word2Vec Embeddings to Identify Multi-Class Toxicity Through Machine and Deep Learning Approaches.
    
  
    Proceedings of the OITS International Conference on Information Technology, 2024
    
  
  2023
Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations.
    
  
    Entropy, September, 2023
    
  
A Crop Recommendation System Based on Nutrients and Environmental Factors Using Machine Learning Models and IoT.
    
  
    Proceedings of the International Conference on Information Technology, 2023
    
  
Deep Learning Approaches for Detecting Psychological Instability: An Evaluation of Performance.
    
  
    Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
    
  
Performance Evaluation of Machine Learning and Neural Network Algorithms for Wine Quality Prediction.
    
  
    Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
    
  
Convolutional Neural Networks for Automated Glaucoma Detection: Performance and Limitations.
    
  
    Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
    
  
  2022
Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks.
    
  
    Entropy, 2022