Satvik Vats
Orcid: 0000-0002-9422-4915
According to our database1,
Satvik Vats
authored at least 23 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2020
2021
2022
2023
2024
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Bibliography
2024
SN Comput. Sci., December, 2024
Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events.
SN Comput. Sci., October, 2024
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images.
Expert Syst. Appl., March, 2024
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images.
Expert Syst. Appl., 2024
2023
Proceedings of the 16th International Conference on Security of Information and Networks, 2023
FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels.
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
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
Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model.
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
Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level 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
Design of a Microstrip Circular Patch Antenna at 2.4 GHz Using HFSS for IoT Application.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
Exploring the Mind-Bending Connection Between Virtual Reality and Human Perception: Review.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
2020
Performance Evaluation of an Independent Time Optimized Infrastructure for Big Data Analytics that Maintains Symmetry.
Symmetry, 2020