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)

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)

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)

A Deep Learning Method to Forecast COVID-19 Outbreak. - Satyabrata Dash; Sujata Chakravarty; Sachi Nandan Mohanty; Chinmaya Ranjan Pattanaik; Sarika Jain 001 (New Gener. Comput., 2021)

Stock Market Prediction Using Machine Learning Techniques. - Jagruti Hota; Sujata Chakravarty; Bijay Paikaray; Harshvardhan Bhoyar (ACI@ISIC, 2022)

Flight Price Prediction Using Machine Learning. - Ankita Panigrahi; Rakesh Sharma 001; Sujata Chakravarty; Bijay Paikaray; Harshvardhan Bhoyar (ACI@ISIC, 2022)

Student Attendance System Based on Face Recognition and Machine Learning. - Praveen Kumar Sah; Mamata Garanayak; Sujata Chakravarty; Bijay Paikaray; Rakesh Sharma 001; Suneeta Satpathy (ACI@ISIC, 2022)

Tomato Leaf Disease Detection using Machine Learning. - Rakesh Sharma 001; Ankita Panigrahi; Mamata Garanayak; Sujata Chakravarty; Bijay Paikaray; Lalmohan Pattanaik (ACI@ISIC, 2022)

Gold Price Prediction using Machine Learning Techniques. - Nandini Tripurana; Binodini Kar; Sujata Chakravarty; Bijay Paikaray; Suneeta Satpathy (ACI@ISIC, 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)

Deep Learning Technique for Real-Time Forest Fire Detection from Video Streams. - Nidhi Gupta; Sujata Chakravarty; Satyabrata Dash (ISED, 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)

Named entity recognition in Odia language: a rule-based approach. - Amrita Anandika; Sujata Chakravarty; Bijay Kumar Paikaray (Int. J. Reason. based Intell. Syst., 2023)

Automatic leaf diseases detection and classification of cucumber leaves using internet of things and machine learning models. - Swarna Prabha Jena; Sujata Chakravarty; Siba Prasad Sahoo; Shubham Nayak; Subrat Kumar Pradhan; Bijay Kumar Paikaray (Int. J. Web Grid Serv., 2023)

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 (Adv. Math. Commun., 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., 2023)

Internet of things-based remote monitoring and classification of Spinacia oleracea leaf disease using deep learning approach. - Swarna Prabha Jena; Sujata Chakravarty; Bijay Kumar Paikaray (Int. J. Web Grid Serv., 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., 2024)

Evaluating sustainable wind energy sources with multiple criteria decision-making (MCDM) techniques. - Satyabrata Dash; Sujata Chakravarty; Nimay Chandra Giri; Rohit Khargotra (Comput. Electr. Eng., 2025)