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Deepak Bhatt, D.E.M.E. - Publications

Affiliations: 
2014 Electrical Engineering The University of Toledo 
Area:
Electronics and Electrical Engineering, Computer Engineering, Computer Science
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11 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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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