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Ranjit Panigrahi
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2020 – today
- 2024
- [j12]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): 194 (2024) - [j11]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): 905-931 (2024) - [j10]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): 3355-3392 (2024) - [j9]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): 1209-1232 (2024) - 2023
- [j8]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): 32-43 (2023) - [j7]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): 14 (2023) - [j6]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): 31 (2023) - [c2]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: 74-83 - 2022
- [j5]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: 133-144 (2022) - [j4]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): 2250303:1-2250303:29 (2022) - [j3]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): 8834 (2022) - 2020
- [j2]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): 349-360 (2020) - [j1]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): 375-381 (2020) - [c1]Ranjit Panigrahi
, Samarjeet Borah
, Udit Kumar Chakraborty:
WEKA Result Reader - A Smart Tool for Reading and Summarizing WEKA Simulator Files. FICTA (1) 2020: 159-167 - no results
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