| Diagnosis of diabetes type-II using hybrid machine learning based ensemble model A Sarwar, M Ali, J Manhas, V Sharma International Journal of Information Technology 12, 419-428, 2020 | 89 | 2020 |
| Performance evaluation of machine learning techniques for mustard crop yield prediction from soil analysis V Pandith, H Kour, S Singh, J Manhas, V Sharma Journal of scientific research 64 (2), 394-398, 2020 | 85 | 2020 |
| A review on the applications of neuro-fuzzy systems in business S Rajab, V Sharma Artificial Intelligence Review 49, 481-510, 2018 | 74 | 2018 |
| An interpretable neuro-fuzzy approach to stock price forecasting S Rajab, V Sharma Soft Computing 23, 921-936, 2019 | 68 | 2019 |
| Performance based evaluation of various machine learning classification techniques for chronic kidney disease diagnosis S Sharma, V Sharma, A Sharma arXiv preprint arXiv:1606.09581, 2016 | 67 | 2016 |
| Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and developments P Rani, S Kotwal, J Manhas, V Sharma, S Sharma Archives of Computational Methods in Engineering 29 (3), 1801-1837, 2022 | 63 | 2022 |
| Comparative analysis of machine learning techniques in prognosis of type II diabetes A Sarwar, V Sharma AI & society 29, 123-129, 2014 | 58 | 2014 |
| Intelligent Naïve Bayes approach to diagnose diabetes Type-2 A Sarwar, V Sharma International Journal of Computer Applications and Challenges in Networking …, 2012 | 56 | 2012 |
| Hybrid ensemble learning technique for screening of cervical cancer using Papanicolaou smear image analysis A Sarwar, V Sharma, R Gupta Personalized Medicine Universe 4, 54-62, 2015 | 51 | 2015 |
| Analysis of soil and prediction of crop yield (Rice) using Machine Learning approach. V Singh, A Sarwar, V Sharma International Journal of Advanced Research in Computer Science 8 (5), 2017 | 42 | 2017 |
| Usage and implementation of neuro-fuzzy systems for classification and prediction in the diagnosis of different types of medical disorders: a decade review H Kour, J Manhas, V Sharma Artificial Intelligence Review 53, 4651-4706, 2020 | 35 | 2020 |
| Novel benchmark database of digitized and calibrated cervical cells for artificial intelligence based screening of cervical cancer A Sarwar, J Suri, M Ali, V Sharma Journal of Ambient Intelligence and Humanized Computing 7, 593-606, 2016 | 30 | 2016 |
| Segmentation of cervical cells for automated screening of cervical cancer: a review A Sarwar, AA Sheikh, J Manhas, V Sharma Artificial Intelligence Review 53, 2341-2379, 2020 | 23 | 2020 |
| Artificial neural network based screening of cervical cancer using a hierarchical modular neural network architecture (HMNNA) and novel benchmark uterine cervix cancer database M Ali, A Sarwar, V Sharma, J Suri Neural Computing and Applications 31, 2979-2993, 2019 | 23 | 2019 |
| Screening of cervical cancer by artificial intelligence based analysis of digitized papanicolaou-smear images R Gupta, A Sarwar, V Sharma Int. J. Contemp. Med. Res 4 (5), 2454-7379, 2017 | 23 | 2017 |
| Comparative analysis of machine learning techniques in sale forecasting SK Sharma, V Sharma International Journal of Computer Applications 53 (6), 51-54, 2012 | 21 | 2012 |
| Performance evaluation of ANN and neuro-fuzzy system in business forecasting S Rajab, V Sharma 2015 2nd international conference on computing for sustainable global …, 2015 | 16 | 2015 |
| Performance evaluation of machine learning techniques for screening of cervical cancer A Sarwar, M Ali, J Suri, V Sharma 2015 2nd International Conference on Computing for Sustainable Global …, 2015 | 14 | 2015 |
| Performance evaluation of svm and random forest for the diagnosis of thyroid disorder HK Shivastuti, J Manhas, V Sharma Int. J. Res. Appl. Sci. Eng. Technol 9, 945-947, 2021 | 13 | 2021 |
| Digital divide in education–a concern for J&K state V Sharma, V Mansotra, GS Sambyal INDIACom-2009, 2009 | 13 | 2009 |
Dr. Jatinder ManhasUniversity of JammuVerified email at jammuuniversity.ac.in
