Format: Paper Name, Author(s) Name, Journal Name, Vol(Issue), page, Year, Page

44. Global O(t−α) Synchronization of Fractional-Order Non-autonomous Neural Network Model with Time Delays Through Centralized Data-Sampling Approach, M. Chowdhury, P. Das and A. Das, Mediterranean Journal of Mathematics, Springer, 17:3, Feb. 2020, Online: 06 Nov. 2019. DOI: 10.1007/s00009-019-1432-9

43. Dynamics of two-prey one-predator non-autonomous type-III stochastic model with effect of climate change and harvesting, Sampurna Sengupta and Pritha Das, Nonlinear Dynamics, Springer, Volume 97, Issue 4, pp 2777–2798, Sep. 2019, Online: 31 July 2019. https://doi.org/10.1007/s11071-019-05163-7

42. An investigation on Michaelis - Menten kinetics based complex dynamics of tumor - immune interaction, ParthasakhaDas, Sayan Mukherjee and PrithaDas, Chaos, Solitons & Fractals, Elsevier, Vol 128, 297-305, Nov. 2019. DOI: 10.1016/j.chaos.2019.08.006

41. An investigation on Monod–Haldane immune response based tumor-effector–interleukin-2 interactions with treatments, Parthasakha Das, Pritha Das and Samhita DasApplied Mathematics and Computation, Elsevier, 361: 536–551, June 2019. DOI: 10.1016/j.amc.2019.05.032

40. Sustainability of Orange Roughy Population, Sampurna Sengupta and Pritha Das, Differential Equations and Dynamical Systems, Springer, 1–15, Online: 09 March 2019 https://doi.org/10.1007/s12591-019-00465-z

39.     Stability and Permanence of a Discrete-time Two-Prey One-Predator System with Holling Type-III Functional Response, Ritwick Banerjee, Pritha Das and Debasis Mukherjee, Chaos, Solitons & Fractals, Elsevier, 117, 240–248, 2018. DOI: 10.1016/j.chaos.2018.10.032

38.     Stochastic Non-Autonomous Holling Type-III Prey-Predator Model with Predator's Intra-Specific Competition, Sampurna Sengupta, Pritha Das and Debasis Mukherjee, Discrete and Continuous Dyn. Sys. Series B, AIMS, 23, 8, 3275-3296, 2018. DOI: 10.3934/dcdsb.2018244

37.     Effect of environmental variation in a prey-predator fishery with harvesting in presence of toxicity, Partha Ghosh,  Pritha Das, Debasis Mukherjee, World Journal of Modelling and Simulation, 14, 3, 181-191, 2018.

36.     Delayed Feedback Controller based Finite-time Synchronization of Discontinuous Neural Networks with  Mixed Time-varying Delays, Parthasakha Das, Pritha Das and Amitava Kundu  , Neural Processing Letters, Springer, Online 17/05/2018, Vol 49, Issue 2, pp 693–709, April 2019. DOI: 10.1007/s11063-018-9850-4

35.     Chaos to order: effect of random predation in a Holling type IV tri-trophic food chain system with closure terms, Partha Ghosh, Pritha Das and Debasis Mukherjee, Int. J. Biomathematics, World Scientific, 9,5, 18, 2016. DOI: 10.1142/S179352451650073X

34.     Impulsive Effect on Tri-Trophic Food Chain Model with Mixed Functional Responses under Seasonal Perturbations, Chandrima Banerjee and Pritha Das , Differential Equations and Dyn. Sys., Springer, 2016, 20, 2016. 10.1007/s12591-016-0328-4

33.     Persistence and stability of a seasonally perturbed three species stochastic model of Salmonoid aquaculture, Partha Ghosh, Pritha Das and Debashis Mukherjee, Differential Equations and Dyn. Sys., Springer, 2016, 1-17, 2016. 10.1007/s12591-016-0283-0

32.     Impulsive Control on Seasonally Perturbed General Holling Type Two-Prey One-Predator Model, Chandrima Banerjee and Pritha Das, Discrete Dynamics in Nature and Society, Hindawi, 2016, 20, 2016. DOI: 10.1155/2016/9268257

31.     Stability, bifurcations and synchronization in a delayed neural network model of n-identical neurons, Amitava Kundu and Pritha Das, Math. & Computers in Simulation, Elsevier, 212, 12-33, 2016. DOI: 10.1016/j.matcom.2015.07.006

30.     Stability, bifurcations and chaotic dynamics in a delayed hybrid tri-trophic food chain model with Holling type-II and Leslie-Gower type functional responses, Chandrima Banerjee, Pritha Das and A. B. Roy, World J. Modelling and Simulation, Academic, 11 (3) , 174-198, 2015.

29.     Complex dynamics of a four neuron network model having a pair of short-cut connections with multiple delays, Pritha Das, Amitava Kundu and A. B. Roy, Nonlinear Dynamics, Springer, 72 (3) , 643-662, 2013. DOI: 10.1007/s11071-012-0742-2

28.     Fractal Analysis of songs: Performer's preference, Pritha Das and A Das, Non-Lin Analysis: Real world Appli, 11, 1790-1794, 2010. DOI: 10.1016/j.nonrwa.2009.04.004

27.     Chaotic analysis of the foreign exchange rates, Pritha Das and A Das, Applied Math. & Computation, Elsevier, 185(1), 388-396, 2007. DOI: 10.1016/j.amc.2006.06.106

26.     Fractal Analysis of Different Eastern and Western Musical Instruments, A Das and Pritha Das, Fractals, World Scientific, 14 (3), 165-170, 2006. DOI: 10.1142/S0218348X06003192

25.     Does Composite Index Of NYSE Represents Chaos In The Long Time Scale?, Pritha Das, A Das, Applied Math. & Computation, Elsevier, 7(3),  483-489, 2006. DOI: 10.1016/j.amc.2005.04.096

24.     Nonlinear Data Analysis: A Comparison Between Experimental [EEG] Data and Theoretical [ANN] Data, Pritha Das, A Das and A B Roy, Complexity, Wiley,  174 (1), 30-40, 2006. https://doi.org/10.1002/cplx.10024

23.     Delay between online and offline issue of journals: A critical analysis, Pritha Das and A Das, Lib. & and Info. Sc. Research, Elsevier, 28(3), 453-459, 2006. DOI: 10.1016/j.lisr.2006.03.019

22.     Classification of Different Indian Songs Based on Fractal Analysis, Pritha Das and A Das, Complex Systems, Complex Sys. Pub., 15(3), 253-259, 2005.

21.     Nonlinearity in EEG: Investigation by surrogate data analysis, Pritha Das and A Das, Complexity International, 2004. DOI: 10.1002/cplx.10024

20.     Applicability of Lyapunov exponent in EEG data analysis, Pritha Das, A Das and A B Roy, Complexity International, 2002.

19.     Chaos in Three Dimensional General Model of Neural Network, Pritha Das, A Das and A B Roy, Intl. J. of Bifur. & Chaos, World Scientific, 12 (10), 2271-2281, 2001. DOI: 10.1142/S0218127402005820

18.     Chaos in Three Dimensional Neural Network, Pritha Das, A Das and A B Roy, Appl. Math. Modeling, Elsevier, 24, 511-522, 2000. DOI: 10.1016/S0307-904X(99)00046-3

17.     The Role of Four Regulatory Hormones in Controlling Testicular Function in A Delay Model, Pritha Das and  A B Roy, Comput.Modelling, Pergamon, 25 (5), 101-116, 1997. DOI: 10.1016/S0895-7177(97)00033-2

16.     Stability and Oscillations of a Negative Feedback Delay Model for The Control of Testosterone Secretion, Pritha Das and  A B Roy, BioSystems, Elsevier, 32, 61-69, 1994. DOI: 10.1016/0303-2647(94)90019-1

15.     Oscillation in Delay Differential Equation Model of Reproductive Hormones In Men with Computer Simulation Delay Model, Pritha Das and  A B Roy, J.of Biological Systems, World Scientific , 2(1), 73-90, 1994. DOI: https://doi.org/10.1142/S0218339094000076

14.     Global exponential stability of non-autonomous Cellular Neural network model with time varying delays, Madhusree Chowdhury and Pritha Das, Math. Analysis and Appl. in Modeling,  Springer, In Print , 2018.

13.     Global stability and chaos-control in delayed N-cellular neural network model, Amitava Kundu, Pritha Das and A. B. Roy, Springer Proceedings in Mathematics and Statistics, 146, 251-256, 2015.

12.     Nonlinear analysis of daily temperature data, Pritha Das, Int. Conf. on Future Computer and Communication, IEEE , 2009. DOI: 10.1109/FCC.2009.79

11.     Comparison of the Nature of Chaos in Experimental [EEG] Data and Theoretical [ANN] Data, Pritha Das and A Das, AIP Conference Proceedings, 676(367), 2003.

10.    Environmental Vulnerabilities Index Formulation in Fragile Ecosystem of the Indian Sundarbans, Pritha Das and A. Das, Matter: Int. J. Sc. & Tech., 3(1), 36-58, 2017.

9.     Shrimp Fry (meen) Farmers of Sundarban Mangrove Forest (India): A Tale of Ecological Damage and Economic Hardship, Pritha Das A. Das and Souvanik Roy,  International J. Agri. & Food Res., 5(2), 28-41, 2016. 10.1007/s12591-016-0328-4

8.    Revisiting the Asian crisis (1997) in the light of present global recession: A chaotic analysis paradigm, Pritha Das and A Das, Comp. & Appl. Math. J., 1(2), 16-20, 2015,

7.     Investigating the Existence of Chaos in Inflation Data in Relation to Chaotic Foreign Exchange Rate, Pritha Das and A Das,  Economics Research International, 2014,  Article ID 783505, 2014. DOI: 10.1155/2014/783505

6.     Bifurcation and chaos in delayed cellular neural network model, Pritha Das and Amitava Kundu, J. Appl. Math &Phy., 2, 219-224, 2014.

5.     Is There Chaos in Inflation Data? Pritha Das, J. Appl. Math & Phy., 2(5), 2014. DOI: 10.4236/jamp.2014.25026

4.     Global stability bifurcation and chaos control in a delayed neural network model, Amitava Kundu and Pritha Das,  Advances in Artificial Neural Systems, 2014, Article ID 369230, 2014.

3.     Comparison of Recession During 2008 - 2009 and 2009-2013 Through Chaotic Analysis of The Foreign Exchange Rates, Pritha Das, A.Das and Gursan Coban, J. Contemp. Manag., 2013.

2.     The Chaotic Analysis of Financial Time Series: Classification of Foreign Exchange Rates Series via Their Exponential Divergence Curves, Pritha Das and Atin Das, Chaotic Modeling and Simulation (CMSIM),  3,   509-517, 2012.

1.     Chaotic analysis of the foreign exchange rates during 2008 to 2009 recession,     A. Das, Pritha Das and Gursan Coban, AJBM, 6(15), 5226-5233, 2012.

1. Stability and permanent co-existence of a discrete-time two-prey one-predator system with harvesting effort, Ritwick Banerjee, Pritha Das, and Debasis Mukherjee, AIP Conference Proceedings 2159, 030002 (2019) Sixth International Conference on New Trends in the Applications of Differential Equations in Sciences (NTADES’19), Bulgaria,  1–4 July 2019.

2. Control of Chaos in a New Family of Four-DCNNs, Amitava Kundu and Pritha Das, National Conf Nonlinear Dyn, Analysis & Optim. JU UGC- DSA, 2014.

3. Investigating Diabetes Risk Factors in A Model of Glucose, Insulin and Beta-Cell, Amitava Kundu and Pritha Das, Int. Conf. IMBIC on Math. Sc. Adv. of Sc. & Tech.,    2013.                    

4. A Model of Glucose, Insulin and Beta-Cell: Search for Diabetes Risk Factors    Amitava Kundu and Pritha Das, National Sem. on Math Modelling of Natural Phenomena, JU, 2010.

5. Nonlinear Analysis of Daily Temperature Data, Pritha Das, ESIAT 2009, Cairo, Egypt, 2009, 1599-1605, 2009.

6. A dynamical model of immune system-malignant tumor interaction with ultimate eradication, Parthasakha Das and Pritha Das, Int conf on Math Analysis in modelling, JU ISI, 2018,  99, 2018.

7. Role of delay in a chaotic cellular neural network model, A Kundu and Pritha Das, Saha Institute of Nuclear Physics, 2014, 2014.

8. Number of short term memory: parametric conditions for ANN model, Pritha Das and A Das, Int workshop on complex dynamics of Psysio. system: Heart to brain, 2007, 545, 2007.

9. Random versus Chaotic Data Identification using Surrogate Method, Pritha Das, European Complex System Society, Paris, 2005.