Sujata Chakravarty

Orcid: 0000-0002-1293-5378

According to our database1, Sujata Chakravarty authored at least 18 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging.
Int. J. Comput. Intell. Syst., December, 2024

Internet of things-based remote monitoring and classification of <i>Spinacia oleracea</i> leaf disease using deep learning approach.
Int. J. Web Grid Serv., 2024

2023
A Two-Tier Fuzzy Meta-Heuristic Hybrid Optimization for Dynamic Android Malware Detection.
SN Comput. Sci., March, 2023

Feature extraction and classification of hyperspectral imaging using minimum noise fraction and deep convolutional neural network.
Adv. Math. Commun., 2023

Automatic leaf diseases detection and classification of cucumber leaves using internet of things and machine learning models.
Int. J. Web Grid Serv., 2023

Named entity recognition in Odia language: a rule-based approach.
Int. J. Reason. based Intell. Syst., 2023

An improved region-based embedding technique for data hiding and image recovery using multiple ROI and RONI.
Int. J. Electron. Secur. Digit. Forensics, 2023

Deep Learning Technique for Real-Time Forest Fire Detection from Video Streams.
Proceedings of the 9th International Symposium on Embedded Computing and System Design, 2023

2022
RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System.
Sensors, 2022

Gold Price Prediction using Machine Learning Techniques.
Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Tomato Leaf Disease Detection using Machine Learning.
Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Student Attendance System Based on Face Recognition and Machine Learning.
Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Flight Price Prediction Using Machine Learning.
Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Stock Market Prediction Using Machine Learning Techniques.
Proceedings of the Workshop on Advances in Computational Intelligence, 2022

2021
A Deep Learning Method to Forecast COVID-19 Outbreak.
New Gener. Comput., 2021

Reversible selective embedding for DICOM image security and integrity using visual cryptography.
Int. J. Electron. Secur. Digit. Forensics, 2021

Indian COVID-19 time series prediction using Facebook's Prophet model.
Int. J. Comput. Appl. Technol., 2021

COVID-19 outbreak in Orissa: MLR and H-SVR-based modelling and forecasting.
Int. J. Comput. Appl. Technol., 2021


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