Applications of Soft Computing in Time Series Forecasting - Simulation and Modeling Techniques - Pritpal Singh 002 (Springer, 2016)

Information Classification, Visualization and Decision-Making: A Neutrosophic Set Theory Based Approach. - Pritpal Singh 002; Kinjal Rabadiya (SMC, 2018)

Uncertainty representation using fuzzy-entropy approach: Special application in remotely sensed high-resolution satellite images (RSHRSIs). - Pritpal Singh 002; Gaurav Dhiman 001 (Appl. Soft Comput., 2018)

A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches. - Pritpal Singh 002; Gaurav Dhiman 001 (J. Comput. Sci., 2018)

Rainfall and financial forecasting using fuzzy time series and neural networks based model. - Pritpal Singh 002 (Int. J. Mach. Learn. Cybern., 2018)

A new hybrid time series forecasting model based on the neutrosophic set and quantum optimization algorithm. - Pritpal Singh 002; Yo-Ping Huang (Comput. Ind., 2019)

A High-Order Neutrosophic-Neuro-Gradient Descent Algorithm-Based Expert System for Time Series Forecasting. - Pritpal Singh 002; Yo-Ping Huang (Int. J. Fuzzy Syst., 2019)

A Fuzzy-Entropy and Image Fusion Based Multiple Thresholding Method for the Brain Tumor Segmentation. - Pritpal Singh 002; Yo-Ping Huang; Wen-Jang Chu; Jing-Huei Lee (SMC, 2020)

A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease. - Pritpal Singh 002 (Artif. Intell. Medicine, 2020)

Corrigendum to "A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease" [Artif Intell Med 104 (2020) 101838]. - Pritpal Singh 002 (Artif. Intell. Medicine, 2020)

A neutrosophic-entropy based clustering algorithm (NEBCA) with HSV color system: A special application in segmentation of Parkinson's disease (PD) MR images. - Pritpal Singh 002 (Comput. Methods Programs Biomed., 2020)

An Intuitionistic Fuzzy Set Approach for Multi-attribute Information Classification and Decision-Making. - Pritpal Singh 002; Yo-Ping Huang; Shu-I Wu (Int. J. Fuzzy Syst., 2020)

A type-2 neutrosophic-entropy-fusion based multiple thresholding method for the brain tumor tissue structures segmentation. - Pritpal Singh 002 (Appl. Soft Comput., 2021)

A Type-2 Fuzzy Clustering and Quantum Optimization Approach for Crops Image Segmentation. - Yo-Ping Huang; Pritpal Singh 002; Wen-Lin Kuo; Hung-Chi Chu (Int. J. Fuzzy Syst., 2021)

FQTSFM: A fuzzy-quantum time series forecasting model. - Pritpal Singh 002 (Inf. Sci., 2021)

Analysis of fMRI Signals from Working Memory Tasks and Resting-State of Brain: Neutrosophic-Entropy-Based Clustering Algorithm. - Pritpal Singh 002; Marcin Watorek; Anna Ceglarek; Magdalena Fafrowicz; Koryna Lewandowska; Tadeusz Marek; Barbara Sikora-Wachowicz; Pawel Oswiecimka (Int. J. Neural Syst., 2022)

Solving multi-objective optimization problem of convolutional neural network using fast forward quantum optimization algorithm: Application in digital image classification. - Pritpal Singh 002; Monoj Kumar Muchahari (Adv. Eng. Softw., 2023)

Membership Functions, Set-Theoretic Operations, Distance Measurement Methods Based on Ambiguous Set Theory: A Solution to a Decision-Making Problem in Selecting the Appropriate Colleges. - Pritpal Singh 002; Yo-Ping Huang (Int. J. Fuzzy Syst., 2023)

A Four-Valued Ambiguous Logic: Application in Designing Ambiguous Inference System for Control Systems. - Pritpal Singh 002; Yo-Ping Huang (Int. J. Fuzzy Syst., 2023)

Quantum wavefunction optimization algorithm: application in solving traveling salesman problem. - Pritpal Singh 002 (Int. J. Mach. Learn. Cybern., 2025)