Ranjit Panigrahi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Intrusion Detection

Convolutional Neural Network

Data Encryption

Top Venues

Int. J. Comput. Intell. Syst.

Knowl. Inf. Syst.

Int. J. Comput. Appl. Technol.

Publications

Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, Baidyanath Panda, Akash Kumar Bhoi
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer. Knowl. Inf. Syst. 66 (2) (2024)
Gaurav Pradhan, Gopal Thapa, Ratika Pradhan, Bidita Khandelwal, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi
Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection. Int. J. Comput. Intell. Syst. 17 (1) (2024)
Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Lukman Adebayo Ogundele, Olakunle Olugbenga Solanke, Biswajit Brahma, Ranjit Panigrahi, Akash Kumar Bhoi
Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection. Knowl. Inf. Syst. 66 (6) (2024)
Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi
Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection. Wirel. Pers. Commun. 135 (2) (2024)
Joseph Bamidele Awotunde, Ranjit Panigrahi, Mohit Agarwal, Biswajit Brahma, Akash Kumar Bhoi
CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things Environments. SCCTT (2023)
M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi
An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Joseph Bamidele Awotunde, Femi Emmanuel Ayo, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi
A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi
Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification. Big Data Min. Anal. 6 (1) (2023)
Parvathaneni Naga Srinivasu, Ranjit Panigrahi, Ashish Singh, Akash Kumar Bhoi
Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN. J. Circuits Syst. Comput. 31 (17) (2022)
Pravat Kumar Sahoo, Sushruta Mishra, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi
An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images. Sensors 22 (22) (2022)
Ranjit Panigrahi, Samarjeet Borah, Moumita Pramanik, Akash Kumar Bhoi, Paolo Barsocchi, Soumya Ranjan Nayak, Waleed S. Alnumay
Intrusion detection in cyber-physical environment using hybrid Naïve Bayes - Decision table and multi-objective evolutionary feature selection. Comput. Commun. 188 (2022)
A. Reyana, V. T. Krishnaprasath, Sandeep Kautish, Ranjit Panigrahi, Mahaboob Shaik
Decision-making on the existence of soft exudates in diabetic retinopathy. Int. J. Comput. Appl. Technol. 64 (4) (2020)
Ranjit Panigrahi, Moumita Pramanik, Udit Kumar Chakraborty, Akash Kumar Bhoi
Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree. Int. J. Comput. Appl. Technol. 64 (4) (2020)
Ranjit Panigrahi, Samarjeet Borah, Udit Kumar Chakraborty
WEKA Result Reader - A Smart Tool for Reading and Summarizing WEKA Simulator Files. FICTA (1) (2020)