| Polymer selection for SAW sensor array based electronic noses by fuzzy c-means clustering of partition coefficients: Model studies on detection of freshness and spoilage of … P Verma, RDS Yadava Sensors and Actuators B: Chemical 209, 751-769, 2015 | 90 | 2015 |
| Metal-phthalocyanine modified doped polyaniline for VOC sensing applications M Sinha, P Verma, S Panda Flexible and Printed Electronics 5 (1), 014014, 2020 | 20 | 2020 |
| Structural, dielectric and ferroelectric properties of multilayer lithium tantalate thin films prepared by sol–gel technique S Satapathy, P Verma, PK Gupta, C Mukherjee, VG Sathe, KBR Varma Thin Solid Films 519 (6), 1803-1808, 2011 | 18 | 2011 |
| Fuzzy c-Means Clustering-Based Novel Threshold Criteria for Outlier Detection in Electronic Nose P Verma, M Sinha, S Panda IEEE Sensors Journal 21 (2), 1975-1981, 2020 | 12 | 2020 |
| A Data Mining Procedure for Polymer Selection for Making Surface Acoustic Wave Sensor Array P Verma, RDS Yadava SENSOR LETTERS 11 (10), 1903–1918, 2013 | 12 | 2013 |
| Fuzzy Subtractive Clustering for Polymer Data Mining for SAW Sensor Array Based Electronic Nose TS Singh, P Verma, RDS Yadava Proceedings of Sixth International Conference on Soft Computing for Problem …, 2017 | 10 | 2017 |
| Fuzzy c-means clustering based outlier detection for SAW electronic nose P Verma, P Singh, RDS Yadava 2017 2nd International Conference for Convergence in Technology (I2CT), 513-519, 2017 | 8 | 2017 |
| Fuzzy c-means clustering based uncertainty measure for sample weighting boosts pattern classification efficiency P Verma, RDS Yadava 2012 2nd National Conference on Computational Intelligence and Signal …, 2012 | 8 | 2012 |
| Application of fuzzy c-means clustering for polymer data mining for making SAW electronic nose P Verma, RDS Yadava Proceedings of the International Conference on Frontiers of Intelligent …, 2014 | 6 | 2014 |
| Polymer selection approaches for designing electronic noses: A comparative study P Verma, S Panda Sensors and Actuators B: Chemical 273, 365-376, 2018 | 5 | 2018 |
| Genetic algorithm assisted enhancement in pattern recognition efficiency of radial basis neural network P Verma, RDS Yadava International Conference on Swarm, Evolutionary, and Memetic Computing, 257-264, 2011 | 5 | 2011 |
| Evidence generation for Dempster-Shafer fusion using feature extraction multiplicity and radial basis network P Verma, RDS Yadava 2011 International Conference on Emerging Trends in Electrical and Computer …, 2011 | 3 | 2011 |
| A fuzzy-GRNN classifier for pattern recognition P Verma, P Singh, RDS Yadava 2015 2nd International Conference on Signal Processing and Integrated …, 2015 | 2 | 2015 |
| On genetic algorithm and multiple preprocessor assisted feature boosting for electronic nose signal processing P Verma, D Somvanshi, RDS Yadava International Journal of Computational Intelligence Research 7 (3), 271-294, 2011 | 2 | 2011 |
| Enhancing Sensor Array Intelligence by Bayesian Fusion of Information Multiplicity Generated by Multiple Processors P Verma, RDS Yadava Sensors & Transducers 182 (11), 42, 2014 | 1 | 2014 |
| Quantitative recognition of volatile organics by fuzzy inference system based on discrete wavelet transform of SAW sensor transients P Singh, VK Verma, P Verma, RDS Yadava Signal Propagation and Computer Technology (ICSPCT), 2014 International …, 2014 | 1 | 2014 |
| Wavelet-Assisted Phase Space Analysis for Improved VOCs Discrimination Using SAW Sensor Transients P Singh, P Verma, S Panda Advances in Intelligent Systems and Computing 1118, 403-411, 2020 | | 2020 |
| Fuzzy-Assisted PLS Regression for Enhancing Quantification Efficiency of Electronic Nose P Verma, P Singh, S Panda Advances in Intelligent Systems and Computing 1118, 393-401, 2020 | | 2020 |
| Signal processing for electronic nose intelligence P Verma Banaras Hindu University, 2015 | | 2015 |
R D S YadavaBanaras Hindu University, Varanasi; Solid State Physics Laboratory, DelhiVerified email at bhu.ac.in
