| Crop yield forecasting using fuzzy logic and regression model B Garg, S Aggarwal, J Sokhal Computers & Electrical Engineering 67, 383-403, 2018 | 55 | 2018 |
| Enhanced accuracy of fuzzy time series model using ordered weighted aggregation B Garg, R Garg Applied Soft Computing 48, 265-280, 2016 | 45 | 2016 |
| Stock market forecast using sentiment analysis R Ahuja, H Rastogi, A Choudhuri, B Garg 2015 2nd international conference on computing for sustainable global …, 2015 | 36 | 2015 |
| Impact of prehypertension on left ventricular structure, function and geometry JK Bajpai, AP Sahay, AK Agarwal, AK De, B Garg, A Goel Journal of Clinical and Diagnostic Research: JCDR 8 (4), BC07, 2014 | 35 | 2014 |
| Big data innovation for sustainable cognitive computing A Haldorai, A Ramu, CO Chow Mobile networks and applications 24, 221-223, 2019 | 26 | 2019 |
| A new computational fuzzy time series model to forecast number of outpatient visits B Garg, MMS Beg, AQ Ansari 2012 Annual Meeting of the North American Fuzzy Information Processing …, 2012 | 26 | 2012 |
| Fingerprint recognition using gabor filter B Garg, A Chaudhary, K Mendiratta, V Kumar 2014 International Conference on Computing for Sustainable Global …, 2014 | 23 | 2014 |
| Fuzzy time series prediction model B Garg, MM Sufyan Beg, AQ Ansari, BM Imran Information Intelligence, Systems, Technology and Management: 5th …, 2011 | 22 | 2011 |
| Fuzzy time series model to forecast rice production B Garg, MMS Beg, AQ Ansari 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013 | 19 | 2013 |
| Soft computing model to predict average length of stay of patient B Garg, MM Sufyan Beg, AQ Ansari, BM Imran Information Intelligence, Systems, Technology and Management: 5th …, 2011 | 19 | 2011 |
| Optimizing number of inputs to classify breast cancer using artificial neural network B Garg, MMS Beg, AQ Ansari Journal of Computer Science & Systems Biology, JCSB, 247-254, 2009 | 18 | 2009 |
| Evaluation of biliary complications on magnetic resonance cholangiopancreatography and comparison with direct cholangiography after living-donor liver transplantation B Garg, R Rastogi, S Gupta, H Rastogi, H Garg, V Chowdhury Clinical Radiology 72 (6), 518. e9-518. e15, 2017 | 15 | 2017 |
| A performance comparison of different back propagation neural networks methods for forecasting wheat production TS Bindu Garg, Neha Kirar, Suraj Menon CSI Transactions on ICT, Springer 4, Pg: 305-311, 2016 | 13* | 2016 |
| A robust and novel regression based fuzzy time series algorithm for prediction of rice yield A Garg, B Garg 2017 international conference on intelligent communication and computational …, 2017 | 12 | 2017 |
| Employing genetic algorithm to optimize OWA-fuzzy forecasting model B Garg, MMS Beg, AQ Ansari 2011 Third World Congress on Nature and Biologically Inspired Computing, 285-290, 2011 | 12 | 2011 |
| Applying decision tree for hiding data in binary images for secure and secret information flow GJ Chhajed, BR Garg Cybersecurity measures for e-government frameworks, 175-186, 2022 | 11 | 2022 |
| Employing OWA to optimize fuzzy predicator B Garg, MMS Beg, AQ Ansari World Conference on Soft Computing (WConSC 2011), San Francisco State …, 2011 | 11 | 2011 |
| OWA based fuzzy time series forecasting model B Garg, MMS Beg, AQ Ansari World Conference on Soft Computing, 141-177, 2011 | 11 | 2011 |
| Inferential historical survey of time series predication using artificial neural network B Garg, MMS Beg, AQ Ansari, BM Imran International. Conference on Data Management IMT Ghazibad, India, Pg, 158-172, 2010 | 10 | 2010 |
| Neutrophilic dermatosis of dorsal hands S Kaur, D Gupta, B Garg, N Sood Indian Dermatology Online Journal 6 (1), 42-45, 2015 | 9 | 2015 |
