Follow
Dr. Rajendra Prasad Nayak
Dr. Rajendra Prasad Nayak
Assistant Professor in CSE
Verified email at gcekbpatna.ac.in - Homepage
Title
Cited by
Cited by
Year
IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage
A Bhoi, RP Nayak, SK Bhoi, S Sethi, SK Panda, KS Sahoo, A Nayyar
PeerJ Computer Science 7, e578, 2021
442021
An efficient group-based safety message transmission protocol for VANET
A Kumar, RP Nayak
2013 International Conference on Communication and Signal Processing, 270-274, 2013
222013
Ml-mds: Machine learning based misbehavior detection system for cognitive software-defined multimedia vanets (csdmv) in smart cities
RP Nayak, S Sethi, SK Bhoi, KS Sahoo, A Nayyar
Multimedia Tools and Applications 82 (3), 3931-3951, 2023
192023
TBDDoSA-MD: Trust-Based DDoS Misbehave Detection Approach in Software-defined Vehicular Network (SDVN).
RP Nayak, S Sethi, SK Bhoi, KS Sahoo, TA Tabbakh, ZA Almusaylim
Computers, Materials & Continua 69 (3), 2021
192021
PHVA: A position based high speed vehicle detection algorithm for detecting high speed vehicles using vehicular cloud
RP Nayak, S Sethi, SK Bhoi
2018 International Conference on Information Technology (ICIT), 227-232, 2018
162018
Parametric appraisal of collapsibility and core shrinkage of phenol binded unbaked casting moulds using Taguchi-Sunflower optimization algorithm
S Malik, S Jeet, DK Bagal, RP Nayak, A Barua, SS Mahapatra
Materials Today: Proceedings 50, 1138-1144, 2022
152022
High Speed Vehicle Detection in Vehicular Ad-hoc Network
RP Nayak
Master of Technology Thesis, National Institute of Technology Rourkela, 2013
112013
RRP: A robust routing protocol for Vehicular Ad Hoc Network against hole generation attack
SK Bhoi, RP Nayak, D Dash, JP Rout
2013 International Conference on Communication and Signal Processing, 1175-1179, 2013
102013
TFMD-SDVN: a trust framework for misbehavior detection in the edge of software-defined vehicular network
RP Nayak, S Sethi, SK Bhoi, D Mohapatra, RR Sahoo, PK Sharma, ...
The Journal of Supercomputing, 1-34, 2022
82022
Automated precision irrigation system using machine learning and IoT
A Bhoi, RP Nayak, SK Bhoi, S Sethi
Intelligent Systems: Proceedings of ICMIB 2020, 275-282, 2021
82021
TB-EDA: a trust-based event detection algorithm to detect false events in software-defined vehicular network
RP Nayak, S Sethi, SK Bhoi
Intelligent Systems: Proceedings of ICMIB 2020, 413-424, 2021
22021
Estimating the Category of Districts in a State Based on COVID Test Positivity Rate (TPR): A Study Using Supervised Machine Learning Approach
SK Bhoi, C Mallick, RP Nayak, D Mohapatra, KK Jena
Advances in Distributed Computing and Machine Learning: Proceedings of …, 2022
12022
SqueezeNet Deep Neural Network Embedder-Based Brain Tumor Classification Using Supervised Machine Intelligent Approach
KK Jena, SK Bhoi, KD Naik, C Mallick, RP Nayak
Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2022, 337-348, 2022
2022
Detection of Malicious Unmanned Aerial Vehicle Carrying Unnecessary Load Using Supervised Machine Intelligence Model with SqueezeNet Deep Neural Network Image Embedder
SK Bhoi, KK Jena, KD Naik, C Mallick, RP Nayak
Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2022, 349-361, 2022
2022
Sybil Misbehavior Detection in Software Defined VANETs using Received Signal Strength
RP Nayak, S Sethi, SK Bhoi, KS Sahoo, M Masud, M Baz
Turkish Online Journal of Qualitative Inquiry (TOJQI) 12 (5), 3454-3468, 2021
2021
TB-PAD: A Novel Trust Based Platooning Attack Detection in Cognitive Software Defined Vehicular Network (CSDVN)
RP Nayak, S Sethi, SK Bhoi
CRC, Cognitive Computing Using Green Technologies: Modeling Techniques and …, 2020
2020
Trust-Based GPS Faking Attack Detection in Cognitive Software-Defined Vehicular Network (CSDVN)
RP Nayak, S Sethi, SK Bhoi
2020
Smart Home Automation System for Physically Challenged and Elderly Care People Based on IoT
SS Akhtar, RP Nayak, SK Tripathy, SK Sahoo
2019
The system can't perform the operation now. Try again later.
Articles 1–18