Dr. Sangeeta Ahuja

ICAR-Indian Agricultural Statistics Research Institute, India

Email: [email protected]

Qualifications

2013 Ph.D. (Computer Science), University of Delhi, India

Publications (Selected)

1. Ahuja, S. (2017), Chickpea germplasm evaluation using kernel density based cluster ensemble, International Journal of Bio-resource and stress management.
2. Ghosh, D.K. and Ahuja, S (2017), On Variance Balance Block Designs, 2017, J. Modern Applied Statistical Methods, 16, 2.
3. Ghosh, D.K. and Ahuja, S (2017), Kaplan Meier Method for Survival of Breast Cancer Patients, IEEE Explore 2017, New Delhi.
4. Ahuja, S (2017), Expert System for Farm Power and Machinery Selection (MechFarm), 2017, IEEE Explore 2017, New Delhi.
5. Ahuja, S and Ranga, K.K (2017), Y3K38 Problems and its Solutions, journal Pub.
6. Ghosh, D.K and Ahuja, S (2016), On Balanced Incomplete Designs and pairwise balanced designs NSV 12, Special issue, Sankhya Vignan 29-35.
7. Ahuja, S, Raiger, H.L., Ghosh, D.K., Kernel Density based Germplasm evaluation using cluster ensemble, IJERCSE (International Journal of Engineering Research in Computer Science and Engineering) Vol. 3(12), Dec 2016.
8. Joni, Birla, Shreyta Raj, Kamal Kumar Ranga, Mahesh Kumar, Ajay Kumar, Sangeeta Ahuja (2016), Performance evaluation of energy efficient routing protocols in ad-hoc network using different metrics, published in IEEE Explore, PP.1732-1735.
9. Jain, Abhishek, Jain Animesh, Kamal Kumar Ranga, Sangeeta Ahuja (2016), Solar Cell: A new era, published in IEEE Explore, PP.1728-1731.
10. Patlae, G.T and Ahuja, S. (2016), Analysis of Rainfall and Temperature Variability and Trend Detection: A Non-Parametric Mann Kendall Test Approach, published in IEEE Explore, PP.1723-1727.
11. Ahuja, et. al. (2016), Germplasm Evaluation using Cluster Ensemble, published in IEEE Explore, PP.1741-1742.
12. Selvan, M.M. and Ahuja, S (2015), Algorithms for Bulldozer Overhauling thorough Software based Management Techniques (PERT and CPM), International Journal of Agricultural Sciences.
13. Ahuja, et. al. (2015), Optimum Growth Ensemble in Agroforestry, published in IEEE Explore, PP.1741-1742.
14. Ahuja, et. al. (2015), Kernel Density Based Bayesian Cluster Ensemble, Int. J. Agril. Stat. Sci. Vol 11, No. 2, pp. 473-479.
15. Ghosh, D. K., Shah, J. N. and Ahuja, S. (2015). Complete Diallel Crosses plans through Mutually Orthogonal Latin Squares Designs. Indian J. of Statistics and Applications, 3, 1 & 2, 10 – 17.
16. Ghosh, D. K., Gupta, V.K. and Ahuja, S. (2015). A study of Survival Analysis of Breast Cancer and its Statistical Analysis, Indian J. of Statistics and Applications 4, 1, 31 – 51.97.
17. Ghosh, D. and Ahuja, S. (2015), Construction of Partially Efficiency Balanced Designs. Sankhya Vignan. 1, pp.1-6.
18. Vasudha Bhatnagar, Sangeeta Ahuja, Sharanjit Kaur, Discriminant Analysis based Cluster Ensemble, International Journal for Data Mining, Modeling and Management, Inderscience Publications (2013).
19. Sangeeta Ahuja, Regionalization of River Basins Using Cluster Ensemble, Journal of Water Resource and Protection, USA 2012, Vol. 4, Pg. 560-566.
20. S. Ahuja and C. Dhanya (2012), Regionalization of Rainfall Using RCDA Cluster Ensemble Algorithm in India, Journal of Software Engineering and Applications, USA, Vol. 5 No. 8, 2012, pp. 568-573.