Year |
Citation |
Score |
2017 |
Bhatt D, Babu SR, Chudgar HS. A novel approach towards utilizing Dempster Shafer fusion theory to enhance WiFi positioning system accuracy Pervasive and Mobile Computing. 37: 115-123. DOI: 10.1016/J.Pmcj.2016.06.014 |
0.311 |
|
2015 |
Adusumilli S, Bhatt D, Wang H, Devabhaktuni V, Bhattacharya P. A novel hybrid approach utilizing principal component regression and random forest regression to bridge the period of GPS outages Neurocomputing. 166: 185-192. DOI: 10.1016/J.Neucom.2015.03.080 |
0.628 |
|
2015 |
Gummadi J, Bhatt D, Adusumilli S, Devabhaktuni V, Acosta W, Kumar A. Interpolation techniques for modeling and estimating indoor radon concentrations in Ohio: Comparative study Environmental Progress and Sustainable Energy. 34: 169-177. DOI: 10.1002/Ep.11937 |
0.615 |
|
2014 |
Bhatt D, Aggarwal P, Devabhaktuni V, Bhattacharya P. A novel hybrid fusion algorithm to bridge the period of GPS outages using low-cost INS Expert Systems With Applications. 41: 2166-2173. DOI: 10.1016/J.Eswa.2013.09.015 |
0.652 |
|
2013 |
Aggarwal P, Bhatt D, Devabhaktuni V, Bhattacharya P. Dempster Shafer neural network algorithm for land vehicle navigation application Information Sciences. 253: 26-33. DOI: 10.1016/J.Ins.2013.08.039 |
0.618 |
|
2013 |
Adusumilli S, Bhatt D, Wang H, Bhattacharya P, Devabhaktuni V. A low-cost INS/GPS integration methodology based on random forest regression Expert Systems With Applications. 40: 4653-4659. DOI: 10.1016/J.Eswa.2013.02.002 |
0.653 |
|
2013 |
Yerrabolu P, Mareddy L, Bhatt D, Aggarwal P, Kumar A, Devabhaktuni V. Correction model based ANN modeling approach for the estimation of radon concentrations in Ohio Environmental Progress. 32: 1223-1233. DOI: 10.1002/Ep.11731 |
0.617 |
|
2012 |
Bhatt D, Aggarwal P, Bhattacharya P, Devabhaktuni V. An enhanced MEMS error modeling approach based on Nu-Support Vector Regression. Sensors (Basel, Switzerland). 12: 9448-66. PMID 23012552 DOI: 10.3390/S120709448 |
0.63 |
|
2012 |
Bhatt D, Aggarwal P, Devabhaktuni V, Bhattacharya P. A new source difference artificial neural network for enhanced positioning accuracy Measurement Science and Technology. 23: 105101. DOI: 10.1088/0957-0233/23/10/105101 |
0.643 |
|
2012 |
Akkala A, Bhatt D, Devabhaktuni V, Kumar A. Knowledge-based neural network approaches for modeling and estimating radon concentrations Environmental Progress & Sustainable Energy. 32: 355-364. DOI: 10.1002/Ep.11617 |
0.62 |
|
2011 |
Akkala A, Devabhaktuni V, Kumar A, Bhatt D. Development of an ANN Interpolation Scheme for Estimating Missing Radon Concentrations in Ohio The Open Environmental & Biological Monitoring Journal. 4: 21-31. DOI: 10.2174/1875040001104010021 |
0.63 |
|
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