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Sujata Chakravarty
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Journal Articles
- 2024
- [j12]Satyabrata Dash
, Sujata Chakravarty, Nimay Chandra Giri, Ephraim Bonah Agyekum, Kareem M. Aboras
:
Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging. Int. J. Comput. Intell. Syst. 17(1): 16 (2024) - [j11]Swarna Prabha Jena, Sujata Chakravarty, Bijay Kumar Paikaray:
Internet of things-based remote monitoring and classification of Spinacia oleracea leaf disease using deep learning approach. Int. J. Web Grid Serv. 20(2): 159-187 (2024) - 2023
- [j10]Bijay Kumar Paikaray, Debabala Swain, Sujata Chakravarty:
An improved region-based embedding technique for data hiding and image recovery using multiple ROI and RONI. Int. J. Electron. Secur. Digit. Forensics 15(2): 101-113 (2023) - [j9]Amrita Anandika, Sujata Chakravarty, Bijay Kumar Paikaray:
Named entity recognition in Odia language: a rule-based approach. Int. J. Reason. based Intell. Syst. 15(1): 15-21 (2023) - [j8]Swarna Prabha Jena, Sujata Chakravarty, Siba Prasad Sahoo, Shubham Nayak, Subrat Kumar Pradhan, Bijay Kumar Paikaray:
Automatic leaf diseases detection and classification of cucumber leaves using internet of things and machine learning models. Int. J. Web Grid Serv. 19(3): 350-388 (2023) - [j7]Santosh Jhansi K.
, Sujata Chakravarty, P. Ravi Kiran Varma
:
A Two-Tier Fuzzy Meta-Heuristic Hybrid Optimization for Dynamic Android Malware Detection. SN Comput. Sci. 4(2): 117 (2023) - 2022
- [j6]Sujata Chakravarty, Rutuparnna Mishra, Anshit Ransingh, Satyabrata Dash
, Sachi Nandan Mohanty, Tanupriya Choudhury
, Murali Subramanian
:
Feature extraction and classification of hyperspectral imaging using minimum noise fraction and deep convolutional neural network. J. Electronic Imaging 32(2) (2022) - [j5]Bharat Kumar Padhi
, Sujata Chakravarty, Bighnaraj Naik
, Radha Mohan Pattanayak
, Himansu Das
:
RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. Sensors 22(23): 9321 (2022) - 2021
- [j4]Mamata Garanayak, Goutam Sahu, Gouse Baig Mohammad
, Sujata Chakravarty:
Indian COVID-19 time series prediction using Facebook's Prophet model. Int. J. Comput. Appl. Technol. 66(3/4): 374-388 (2021) - [j3]Satyabrata Dash
, Hemraj Saini, Sujata Chakravarty:
COVID-19 outbreak in Orissa: MLR and H-SVR-based modelling and forecasting. Int. J. Comput. Appl. Technol. 66(3/4): 401-414 (2021) - [j2]Bijay Kumar Paikaray, Debabala Swain, Sujata Chakravarty:
Reversible selective embedding for DICOM image security and integrity using visual cryptography. Int. J. Electron. Secur. Digit. Forensics 13(5): 498-514 (2021) - [j1]Satyabrata Dash
, Sujata Chakravarty, Sachi Nandan Mohanty
, Chinmaya Ranjan Pattanaik, Sarika Jain
:
A Deep Learning Method to Forecast COVID-19 Outbreak. New Gener. Comput. 39(3): 515-539 (2021)
Conference and Workshop Papers
- 2022
- [c5]Praveen Kumar Sah, Mamata Garanayak, Sujata Chakravarty, Bijay Paikaray, Rakesh Sharma, Suneeta Satpathy:
Student Attendance System Based on Face Recognition and Machine Learning. ACI@ISIC 2022: 78-85 - [c4]Jagruti Hota, Sujata Chakravarty, Bijay Paikaray, Harshvardhan Bhoyar:
Stock Market Prediction Using Machine Learning Techniques. ACI@ISIC 2022: 163-171 - [c3]Ankita Panigrahi, Rakesh Sharma, Sujata Chakravarty, Bijay Paikaray, Harshvardhan Bhoyar:
Flight Price Prediction Using Machine Learning. ACI@ISIC 2022: 172-178 - [c2]Nandini Tripurana, Binodini Kar, Sujata Chakravarty, Bijay Paikaray, Suneeta Satpathy:
Gold Price Prediction using Machine Learning Techniques. ACI@ISIC 2022: 274-281 - [c1]Rakesh Sharma, Ankita Panigrahi, Mamata Garanayak, Sujata Chakravarty, Bijay Paikaray, Lalmohan Pattanaik:
Tomato Leaf Disease Detection using Machine Learning. ACI@ISIC 2022: 294-299
Coauthor Index
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