Shiva Mehta

According to our database1, Shiva Mehta authored at least 12 papers in 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Uncovering New Possibilities for Rice Agriculture: A CNN-SVM Model for Accurate Identification of Severity in Bacterial Brown Spot Rice Leaf's Disease.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Optimizing Fenugreek Leaf Disease Detection: An Exploration of Federated Learning with CNN.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Cutting-edge Analysis of Sweet Potato Leaf Diseases: Leveraging Federated Learning and CNNs for Severity Evaluation.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Utilizing Federated Learning and CNNs for Severity Analysis of Fenugreek Leaf Diseases.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Exploring the Potential of Federated Learning CNN for Interactive Virtual Tours of UNESCO Cultural Heritage Sites: A Case Study.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Revolutionizing Heritage Site Information Retrieval: A Deep Learning Approach Utilizing CNN and SVM for Effective Classification of Cultural Heritage Sites.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023


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