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Dr. Radha Mohan Pattanayak
Dr. Radha Mohan Pattanayak
Assistant Professor (Senior Grade), VIT-AP University, Amaravati, Vijayawada, AP
Verified email at vitap.ac.in
Title
Cited by
Cited by
Year
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting
RM Pattanayak, HS Behera, S Panigrahi
Engineering Applications of Artificial Intelligence 99, 104136, 2021
512021
High-order fuzzy time series forecasting by using membership values along with data and support vector machine
RM Pattanayak, S Panigrahi, HS Behera
Arabian Journal for Science and Engineering 45 (12), 10311-10325, 2020
372020
Forecasting of sunspot time series using a hybridization of ARIMA, ETS and SVM methods
S Panigrahi, RM Pattanayak, PK Sethy, SK Behera
Solar Physics 296 (1), 6, 2021
272021
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine
RM Pattanayak, HS Behera, S Panigrahi
Information Sciences 626, 494-523, 2023
192023
A non-probabilistic neutrosophic entropy-based method for high-order fuzzy time-series forecasting
RM Pattanayak, HS Behera, S Panigrahi
Arabian Journal for Science and Engineering 47 (2), 1399-1421, 2022
152022
A multi-step-ahead fuzzy time series forecasting by using hybrid chemical reaction optimization with pi-sigma higher-order neural network
RM Pattanayak, HS Behera, S Panigrahi
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020
152020
RHSOFS: feature selection using the rock hyrax swarm optimization algorithm for credit card fraud detection system
BK Padhi, S Chakravarty, B Naik, RM Pattanayak, H Das
Sensors 22 (23), 9321, 2022
142022
A novel hybrid differential evolution-PSNN for fuzzy time series forecasting
RM Pattanayak, HS Behera, S Panigrahi
Computational Intelligence in Data Mining: Proceedings of the International …, 2019
132019
Higher order neural network and its applications: a comprehensive survey
RM Pattanayak, HS Behera
Progress in Computing, Analytics and Networking: Proceedings of ICCAN 2017 …, 2018
122018
Feature selection using golden jackal optimization for software fault prediction
H Das, S Prajapati, MK Gourisaria, RM Pattanayak, A Alameen, M Kolhar
Mathematics 11 (11), 2438, 2023
82023
A higher order neuro-fuzzy time series forecasting model based on un-equal length of interval
RM Pattanayak, HS Behera, RK Rath
Applications of Robotics in Industry Using Advanced Mechanisms: Proceedings …, 2020
82020
Fuzzy time series forecasting approach using lstm model
RM Pattanayak, MV Sangameswar, D Vodnala, H Das
Computación y Sistemas 26 (1), 485-492, 2022
52022
Software Fault Prediction using Wrapper based Ant Colony Optimization Algorithm for Feature Selection
S Mondal, AK Sahu, H Kumar, RM Pattanayak, MK Gourisaria, H Das
2023 6th International Conference on Information Systems and Computer …, 2023
22023
E-Healthcare System for Disease Detection Based on Medical Image Classification Using CNN
H Das, MK Gourisaria, BK Sah, S Bilgaiyan, JC Badajena, RM Pattanayak
Empirical Research for Futuristic E-Commerce Systems: Foundations and …, 2022
22022
Design of Artificial Intelligence Driven Crowd Density Analysis for Sustainable Smart Cities
S Alsubai, AK Dutta, F Alghayadh, BH Alamer, RM Pattanayak, ...
IEEE Access, 2024
2024
Automated Lunar Crater Identification with Chandrayaan-2 TMC-2 Images using Deep Convolutional Neural Networks
M Sinha, S Paul, M Ghosh, SN Mohanty, RM Pattanayak
Scientific Reports 14 (1), 8231, 2024
2024
Deep Convolution Neural Network Using TMC-2 DEM Images in Chandrayaan-2
M Sinha, S Paul, M Ghosh, SN Mohanty, RM Pattanayak
2024
Innovative Approaches in Tomato Leaf Disease Recognition using Deep Learning
H Ghosh, IS Rahat, RM Pattanayak, SN Mohanty
2023 6th International Conference on Recent Trends in Advance Computing …, 2023
2023
Dollar Price Prediction Using ARIMA
AU Bharati, CS Janakiram, RM Pattanayak, D Jose, SN Mohanty
International Conference on Intelligent Computing and Networking, 19-30, 2023
2023
A Study on Fuzzy Time Series Forecasting using Machine Learning Techniques
RM Pattanayak
Sambalpur, 0
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