Papers in refereed journals

1.  Kaur, G., Dhar, J. and Guha, R. K. 2016. Minimal variability OWA operator combining ANFIS and Fuzzy c-means for forecasting BSE index, Mathematics and Computers in Simulation 122:69-80. (ISSN: 0378-4754) (I.F: 1.218).

2. Janak Raj Sharma & Rangan K. Guha, Simple yet efficient Newton-like method for systems of nonlinear equations, International Journal of Calcolo, 53(2016)  pp-451-473, ISSN 0008-0624. (I.F: 1.407).

3.  Kaur, G., Dhar, J. and Guha, R.K. ‘A hybrid approach to forecast stock market index’, Int. J. Artificial Intelligence and Soft Computing. Vol. 5, No. 2 (2015) pp. 165-176.(ISSN-1755-4969).

4. G. Kaur, J. Dhar, R. K. Guha, Stock market forecasting using ANFIS with OWA operators, International Journal of Artificial Intelligence, 12(2014), 102-114. ISSN 0974-0635. 

5.  G. Kaur, J. Dhar, R. K. Guha, ‘An adaptive network-based fuzzy inference system for the prediction of stock market: BSE30 and IBOVESPA’, Journal of Combinatorics, Information & System Sciences, 38(2013), 183-190.ISSN: 0250-9628

6. Janak Raj Sharma, Rangan K. Guha and Puneet Gupta, Improved King’s methods with optimal order of convergence based on rational approximations, Applied Mathematics Letters, Vol.26 (2013), pp 473-480. (I.F: 2.233).

7. Janak Raj Sharma, Rangan Kumar Guha, Rajni Sharma, An efficient fourth order weighted-Newton method for systems of nonlinear equations, Numerical Algorithms,  Vol. 62 (2013), pp 307-323. (I.F: 1.241).

8.  Janak Raj Sharma, Rangan K. Guha and Puneet Gupta, Some efficient derivative free methods with memory for solving nonlinear equations, Applied Mathematics and Computation, Vol. 219 (2012), pp 699 – 707. (I.F: 1.738).

9.  J.R. Sharma, R.K. Guha and R. Sharma, A Unified approach to generate weighted Newton third order methods for solving nonlinear equations, Journal of Numerical Mathematics and Stochastics, Vol. 4 No. 1  (2012) pp 48 – 58.  

10.  Janak Raj Sharma, Rangan Kumar Guha, Rajni Sharma, Improved Ostrowski-Like Methods Based on Cubic Curve Interpolation, Applied Mathematics Vol. 2 (2011) pp 816 – 823.

11. J.R. Sharma, R.K. Guha and Rajni Sharma, Some modified Newton’s methods with fourth-order convergence, Advances in Applied Science Research, 2011, 2(1), pp 240 – 247.

12. J.R. Sharma & R.K. Guha, Second-derivative free methods of third and fourth  order for solving nonlinear equations, International Journal of Computer Mathematics, Vol. 88,  No. 1, (2011), pp 163 – 170.

13. J.R. Sharma, R.K. Guha & Rajni Sharma, Some variants of Hansen-Patrick method with third and fourth order convergence, Applied Mathematics and Computation, Vol. 214 (2009), pp 171 – 177. (I.F: 1.738).

14. J.R. Sharma and R.K. Guha,  A family of modified Ostrowski methods with accelerated sixth order convergence., Applied Mathematics and Computation, Vol. 190 (2007), pp 111 – 115. (I.F: 1.738).

15. V. Kanwar, Sukhjit Singh, R. K. Guha and Mamta : On method of osculating circle for solving nonlinear equations,  Applied Mathematics and Computation, Vol. 176 (2006), pp 379 – 382. (I.F: 1.738).

16. Sharma, AK, Sarkar, BC, Sharma, HK, and Guha, RK., Energy and Peak Force  Requirement in Carrot Slicing, Journal Of Food Science & Technology, Vol. 42 (2005) pp 174 – 178.

17. Guha, R.K., Linear Programming Problem associated with a Bisubmodular Polyhedron.  The Mathematics Education, Vol. 44 (3) Sept. (2010) pp 162-170.

 
                              Papers in conference
 
 
1.       R.K. Guha, S.N. Kabadi and P. Sharma, Bisubmodular  Polyhedra : Facets, Adjacency  and a Greedy Algorithm, 15th International Symposium on ‘Mathematical Programming’, August 15th – 19th, 1994, University of Michigan, Ann Arbor, USA.
2.       D.P. Jena, R.K. Guha, R.K. Yadav and Rajesh Kumar, Phase Determination in Low Carbon Steel Metallographic Images, National Seminar on ‘Recent Advances in Manufacturing Technologies (RAMT – 2005)’, October 22nd – 23rd, 2005, NIT, Rourkela.
3.       Guha, R.K., Optimal Solution of Bisubmodular Polyhedron,‘International Symposium on Recent Advances in Mathematics & its Applications (ISRAMA-2005)’, December 17th – 19th, 2005. Calcutta Mathematical Society, AE  – 374, Sector –1, Salt Lake City, Calcutta.
4.       Joydip Dhar and R.K.Guha,,  A Network Stochastic Model of B Cell Affinity Maturation, ‘National Seminar on Statistics and Its Applications – 2007 (NSSA – 07)’, January 19 – 20, 2007, Department of Mathematics, SLIET, Longowal.
5.       R.K. Guha, R.K. Goyal and S.S.Verma, Growing domains of Statistics, ‘National Seminar on Statistics and Its Applications – 2007 (NSSA – 07)’, January 19 – 20, 2007, Department of Mathematics, SLIET, Longowal.
6.       J.R. Sharma, R.K. Guha and Rajni Sharma, Some modified Newton’s methods with fourth-order convergence, National Conference on Mathematical Modeling And Simulation (NCMMAS – 2009) organized jointly by Jiwaji University & ABV-Indian Institute of Information Technology & Management, Gwalior from January 09-11, 2009.
7.       J.R. Sharma, R.K. Guha & Rajni Sharma, Some fifth and sixth order iterative methods for solving nonlinear equations, National Conference on Mathematical Modeling And Simulation (NCMMAS – 2009) organized jointly by Jiwaji University & ABV-Indian Institute of Information Technology & Management, Gwalior from January 09-11, 2009.
8.       J.R. Sharma & R.K. Guha,  An Efficient Root-finding Method with Eighth-order Convergence, International Congress of Mathematicians, organized by University of Hyderabad, Hyderabad, from August 19 – 27, 2010.
9.        J.R. Sharma, R.K. Guha & Rajni  Sharma, Improved Ostrowski-like methods based on
cubic curve interpolation, 14th Punjab Science Congress, organized by Sant Longowal Institute of Engineering & Technology, Longowal, from February 7 – 9, 2011.
10.      J.R. Sharma, R.K. Guha & Punit Gupta, Geometrically Constructed Families of Fourth-Order Methods for Solving Nonlinear Equations, 14th Punjab Science Congress, organized by Sant Longowal Institute of Engineering & Technology, Longowal, from February 7 – 9, 2011.
11.   Gurbinder Kaur, R. K. Guha and J. Dhar,  An Adaptive Network-based Fuzzy Inference System for the prediction of stock market: BSE30 and IBOVESPA,
International Conference of FIM interdisciplinary Mathematics, Statistics and computational Techniques (IMSCT 2012-FIM XXI), organized by Department of Mathematics & Statistics, Panjab University, Chandigarh
12.   Gurbinder Kaur, Joydip Dhar and Rangan K Guha , ‘Stock market prediction from sectoral indices using an adaptive network based fuzzy inference system’ , In proceedings of 11th International conference of Management and Behavioural Sciences, 28 – 29th June, 2014, at University of Calgary, Alberta, Canada
13.   Sonu Chugh, Joydip Dhar and Rangan K. Guha, ‘An Innovation Diffusion Model with Two Innovations for a Partial Competitive and Cooperative Market ‘, in International conference held during December 01 – 03, 2018, at Department of Mathematics, South Asian University, New Delhi.