WEKA Result Reader - A Smart Tool for Reading and Summarizing WEKA Simulator Files. - Ranjit Panigrahi; Samarjeet Borah; Udit Kumar Chakraborty (FICTA (1), 2020)

Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree. - Ranjit Panigrahi; Moumita Pramanik; Udit Kumar Chakraborty; Akash Kumar Bhoi (Int. J. Comput. Appl. Technol., 2020)

Decision-making on the existence of soft exudates in diabetic retinopathy. - A. Reyana; V. T. Krishnaprasath; Sandeep Kautish; Ranjit Panigrahi; Mahaboob Shaik (Int. J. Comput. Appl. Technol., 2020)

Intrusion detection in cyber-physical environment using hybrid Naïve Bayes - Decision table and multi-objective evolutionary feature selection. - Ranjit Panigrahi; Samarjeet Borah; Moumita Pramanik; Akash Kumar Bhoi; Paolo Barsocchi; Soumya Ranjan Nayak; Waleed S. Alnumay (Comput. Commun., 2022)

Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN. - Parvathaneni Naga Srinivasu; Ranjit Panigrahi; Ashish Singh; Akash Kumar Bhoi (J. Circuits Syst. Comput., 2022)

An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images. - Pravat Kumar Sahoo; Sushruta Mishra; Ranjit Panigrahi; Akash Kumar Bhoi; Paolo Barsocchi (Sensors, 2022)

CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things Environments. - Joseph Bamidele Awotunde; Ranjit Panigrahi; Mohit Agarwal; Biswajit Brahma; Akash Kumar Bhoi (SCCTT, 2023)

Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification. - Kalyan Kumar Jena; Sourav Kumar Bhoi; Soumya Ranjan Nayak; Ranjit Panigrahi; Akash Kumar Bhoi (Big Data Min. Anal., 2023)

A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks. - Joseph Bamidele Awotunde; Femi Emmanuel Ayo; Ranjit Panigrahi; Amik Garg; Akash Kumar Bhoi; Paolo Barsocchi (Int. J. Comput. Intell. Syst., 2023)

An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes. - M. Jishnu Sai; Pratiksha Chettri; Ranjit Panigrahi; Amik Garg; Akash Kumar Bhoi; Paolo Barsocchi (Int. J. Comput. Intell. Syst., 2023)

Big data analytics enabled deep convolutional neural network for the diagnosis of cancer. - Joseph Bamidele Awotunde; Ranjit Panigrahi; Shubham Shukla; Baidyanath Panda; Akash Kumar Bhoi (Knowl. Inf. Syst., 2024)

Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection. - Femi Emmanuel Ayo; Joseph Bamidele Awotunde; Sakinat Oluwabukonla Folorunso; Ranjit Panigrahi; Amik Garg; Akash Kumar Bhoi (Wirel. Pers. Commun., 2024)

Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection. - Femi Emmanuel Ayo; Joseph Bamidele Awotunde; Lukman Adebayo Ogundele; Olakunle Olugbenga Solanke; Biswajit Brahma; Ranjit Panigrahi; Akash Kumar Bhoi (Knowl. Inf. Syst., 2024)

Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection. - Gaurav Pradhan; Gopal Thapa; Ratika Pradhan; Bidita Khandelwal; Ranjit Panigrahi; Akash Kumar Bhoi; Paolo Barsocchi (Int. J. Comput. Intell. Syst., 2024)

A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features. - Diksha Giri; Ranjit Panigrahi; Samrat Singh Bhandari; Moumita Pramanik; Akash Kumar Bhoi; Victor Hugo C. de Albuquerque (J. Big Data, 2025)