| Indian summer monsoon rainfall prediction using artificial neural network P Singh, B Borah Stochastic environmental research and risk assessment 27, 1585-1599, 2013 | 165 | 2013 |
| A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches P Singh, G Dhiman Journal of computational science 27, 370-385, 2018 | 141 | 2018 |
| Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization P Singh, B Borah International Journal of Approximate Reasoning 55 (3), 812-833, 2014 | 119 | 2014 |
| A brief review of modeling approaches based on fuzzy time series P Singh International Journal of Machine Learning and Cybernetics 8, 397-420, 2017 | 99 | 2017 |
| High-order fuzzy-neuro expert system for time series forecasting P Singh, B Borah Knowledge-based systems 46, 12-21, 2013 | 91 | 2013 |
| An efficient time series forecasting model based on fuzzy time series P Singh, B Borah Engineering Applications of Artificial Intelligence 26 (10), 2443-2457, 2013 | 88 | 2013 |
| Uncertainty representation using fuzzy-entropy approach: special application in remotely sensed high-resolution satellite images (RSHRSIs) P Singh, G Dhiman Applied Soft Computing 72, 121-139, 2018 | 70 | 2018 |
| Indian summer monsoon rainfall (ISMR) forecasting using time series data: a fuzzy-entropy-neuro based expert system P Singh Geoscience Frontiers 9 (4), 1243-1257, 2018 | 60 | 2018 |
| Rainfall and financial forecasting using fuzzy time series and neural networks based model P Singh International Journal of Machine Learning and Cybernetics 9 (3), 491-506, 2018 | 59 | 2018 |
| A quantum approach for time series data based on graph and Schrödinger equations methods P Singh, G Dhiman, A Kaur Modern Physics Letters A 33 (35), 1850208, 2018 | 57 | 2018 |
| A fuzzy-LP approach in time series forecasting P Singh, G Dhiman International conference on pattern recognition and machine intelligence …, 2017 | 56 | 2017 |
| FQTSFM: A fuzzy-quantum time series forecasting model P Singh Information Sciences 556, 57–79, 2021 | 54 | 2021 |
| Ambiguous D-means fusion clustering algorithm based on ambiguous set theory: Special application in clustering of CT scan images of COVID-19 P Singh, SS Bose Knowledge-Based Systems 231, 107432, 2021 | 44 | 2021 |
| A quantum-clustering optimization method for COVID-19 CT scan image segmentation P Singh, SS Bose Expert Systems With Applications 185, 115637, 2021 | 44 | 2021 |
| High-order fuzzy-neuro-entropy integration-based expert system for time series forecasting P Singh Neural Computing and Applications 28 (12), 3851-3868, 2017 | 42 | 2017 |
| A four-way decision-making system for the Indian summer monsoon rainfall P Singh, K Rabadiya, G Dhiman Modern Physics Letters B 32 (25), 1850304, 2018 | 41 | 2018 |
| An effective neural network and fuzzy time series-based hybridized model to handle forecasting problems of two factors P Singh, B Borah Knowledge and information systems 38, 669-690, 2014 | 36 | 2014 |
| A hybrid fuzzy clustering approach for the recognition and visualization of MRI images of Parkinson’s disease YP Huang, P Singh, HC Kuo IEEE Access 8, 25041-25051, 2020 | 32 | 2020 |
| A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease P Singh, A Singla ARTIFICIAL INTELLIGENCE IN MEDICINE 109, 2020 | 31 | 2020 |
| A type-2 neutrosophic-entropy-fusion based multiple thresholding method for the brain tumor tissue structures segmentation P Singh Applied Soft Computing 103, 107119, 2021 | 29 | 2021 |
Bhogeswar BorahProfessor, Department of Computer Science and Engineering, Tezpur UniversityDirección de correo verificada de tezu.ernet.in
