Sujata Chakravarty

According to our database, Sujata Chakravarty authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging.

Satyabrata Dash, Sujata Chakravarty, Nimay Chandra Giri, Ephraim Bonah Agyekum, Kareem M. Aboras

Int. J. Comput. Intell. Syst., December, 2024

2023

A Two-Tier Fuzzy Meta-Heuristic Hybrid Optimization for Dynamic Android Malware Detection.

Santosh Jhansi K., Sujata Chakravarty, P. Ravi Kiran Varma

SN Comput. Sci., March, 2023

Automatic leaf diseases detection and classification of cucumber leaves using internet of things and machine learning models.

Swana Prabha Jena, Sujata Chakravarty, Siba Prasad Sahoo, Shubham Nayak, Subrat Kumar Pradhan, Bijay Kumar Paikaray

Int. J. Web Grid Serv., 2023

Named entity recognition in Odia language: a rule-based approach.

Amrita Anandika, Sujata Chakravarty, Bijay Kumar Paikaray

Int. J. Reason. based Intell. Syst., 2023

An improved region-based embedding technique for data hiding and image recovery using multiple ROI and RONI.

Bijay Kumar Paikaray, Debabala Swain, Sujata Chakravarty

Int. J. Electron. Secur. Digit. Forensics, 2023

2022

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

Bharat Kumar Padhi, Sujata Chakravarty, Bighnaraj Naik, Radha Mohan Pattanayak, Himansu Das

Sensors, 2022

Feature extraction and classification of hyperspectral imaging using minimum noise fraction and deep convolutional neural network.

Sujata Chakravarty, Rutuparnna Mishra, Anshit Ransingh, Satyabrata Dash, Sachi Nandan Mohanty, Tanupriya Choudhury, Murali Subramanian

J. Electronic Imaging, 2022

Gold Price Prediction using Machine Learning Techniques.

Nandini Tripurana, Binodini Kar, Sujata Chakravarty, Bijay Paikaray, Suneeta Satpathy

Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Tomato Leaf Disease Detection using Machine Learning.

Rakesh Sharma, Ankita Panigrahi, Mamata Garanayak, Sujata Chakravarty, Bijay Paikaray, Lalmohan Pattanaik

Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Student Attendance System Based on Face Recognition and Machine Learning.

Praveen Kumar Sah, Mamata Garanayak, Sujata Chakravarty, Bijay Paikaray, Rakesh Sharma, Suneeta Satpathy

Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Flight Price Prediction Using Machine Learning.

Ankita Panigrahi, Rakesh Sharma, Sujata Chakravarty, Bijay Paikaray, Harshvardhan Bhoyar

Proceedings of the Workshop on Advances in Computational Intelligence, 2022

Stock Market Prediction Using Machine Learning Techniques.

Jagruti Hota, Sujata Chakravarty, Bijay Paikaray, Harshvardhan Bhoyar

Proceedings of the Workshop on Advances in Computational Intelligence, 2022

2021

A Deep Learning Method to Forecast COVID-19 Outbreak.

Satyabrata Dash, Sujata Chakravarty, Sachi Nandan Mohanty, Chinmaya Ranjan Pattanaik, Sarika Jain

New Gener. Comput., 2021

Reversible selective embedding for DICOM image security and integrity using visual cryptography.

Bijay Kumar Paikaray, Debabala Swain, Sujata Chakravarty

Int. J. Electron. Secur. Digit. Forensics, 2021

Indian COVID-19 time series prediction using Facebook's Prophet model.

Mamata Garanayak, Goutam Sahu, Gouse Baig Mohammad, Sujata Chakravarty

Int. J. Comput. Appl. Technol., 2021

COVID-19 outbreak in Orissa: MLR and H-SVR-based modelling and forecasting.

Satyabrata Dash, Hemraj Saini, Sujata Chakravarty

Int. J. Comput. Appl. Technol., 2021