Pritpal Singh

According to our database, Pritpal Singh authored at least 15 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Automated White Matter Lesions Segmentation of MRIs for Multiple Sclerosis Detection Using Fuzzy-Entropy Algorithm.

Monoj Kumar Muchahari, Pritpal Singh, Shirsendu Das

Int. J. Fuzzy Syst., September, 2025

A novel model to deal with ambiguous and complex time series: Application to sunspots forecasting.

Pritpal Singh

Knowl. Based Syst., 2025

2024

AKDC: Ambiguous Kernel Distance Clustering Algorithm for COVID-19 CT Scans Analysis.

Pritpal Singh, Yo-Ping Huang

IEEE Trans. Syst. Man Cybern. Syst., October, 2024

An Ambiguous Edge Detection Method for Computed Tomography Scans of Coronavirus Disease 2019 Cases.

Pritpal Singh, Yo-Ping Huang

IEEE Trans. Syst. Man Cybern. Syst., January, 2024

2021

Ambiguous D-means fusion clustering algorithm based on ambiguous set theory: Special application in clustering of CT scan images of COVID-19.

Pritpal Singh, Surya Sekhar Bose

Knowl. Based Syst., 2021

A quantum-clustering optimization method for COVID-19 CT scan image segmentation.

Pritpal Singh, Surya Sekhar Bose

Expert Syst. Appl., 2021

2020

A novel hybrid time series forecasting model based on neutrosophic-PSO approach.

Pritpal Singh

Int. J. Mach. Learn. Cybern., 2020

A Hybrid Fuzzy Clustering Approach for the Recognition and Visualization of MRI Images of Parkinson's Disease.

Yo-Ping Huang, Pritpal Singh, Hung-Chou Kuo

IEEE Access, 2020

2017

High-order fuzzy-neuro-entropy integration-based expert system for time series forecasting.

Pritpal Singh

Neural Comput. Appl., 2017

A brief review of modeling approaches based on fuzzy time series.

Pritpal Singh

Int. J. Mach. Learn. Cybern., 2017

A Fuzzy-LP Approach in Time Series Forecasting.

Pritpal Singh, Gaurav Dhiman

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2014

An effective neural network and fuzzy time series-based hybridized model to handle forecasting problems of two factors.

Pritpal Singh, Bhogeswar Borah

Knowl. Inf. Syst., 2014

Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization.

Pritpal Singh, Bhogeswar Borah

Int. J. Approx. Reason., 2014

2013

High-order fuzzy-neuro expert system for time series forecasting.

Pritpal Singh, Bhogeswar Borah

Knowl. Based Syst., 2013

An efficient time series forecasting model based on fuzzy time series.

Pritpal Singh, Bhogeswar Borah

Eng. Appl. Artif. Intell., 2013