Shiva Mehta
Orcid: 0009-0002-5537-7027
According to our database1,
Shiva Mehta
authored at least 12 papers
in 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
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
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