Journal Research Article:

1. 1. Jagadish, D.N., Chauhan, A. & Mahto, L. Conditional Variational Autoencoder Networks for Autonomous Vehicle Path Prediction. Neural Process Lett 54, 3965–3978 (2022). https://doi.org/10.1007/s11063-022-10802-z ISSN: 370-4621.

   2. Abbas S., Mahto L. (2019) Piecewise Continuous Stepanov-Like Almost Automorphic Functions with Applications to Impulsive Systems. In: Dutta H., Kočinac L., Srivastava H. (eds) Current Trends in Mathematical Analysis and Its Interdisciplinary Applications. Birkhäuser, Cham 

   3. Mahto, L.; Abbas, S., Hafayed, M., Srivastava, H.M., Approximate Controllability of Sub-Diffusion Equation with Impulsive Condition. Mathematics 2019, 7, 190. 

   4. Abbas, S., Mahto, L., Favini, A., Hafayed, M., Dynamical study of a fractional model of phytoplankton allelopathy, Differential Equations and Dynamical Systems, Springer, July 2016, vol. 24, 3, 267-280, (2016).

   5. Mahto, L., Abbas, S., PC-almost automorphic solution of impulsive fractional functional differential equations, Mediterranean Journal of Mathematics, Springer, 12 (3) (2015).

   6. Abbas, S., Mahto, L., Hafayed, M., Alemi, A.M., Asymptotic almost automorphic solution of impulsive neural network with almost automorphic coefficients, Neurocomputing, Elsevier, vol. 142, 22 October, 326-334 (2014).

   7. Mahto, L., Abbas, S., Approximate controllability and optimal control of impulsive fractional functional differential equations, J. Abstr. Differ. Equ. Appl., 4 (2), 44-59 (2013).

   8. Mahto, L., Abbas, S., Favini, A., Analysis of Caputo impulsive fractional order differential equations with applications, Int. J. Differ. Equ., 2013, Art. ID 704547, 11 pp, (2013).

Conference proceedings:

1. 9. Chauhan, A., Jagadish, D.N. and Mahto, L., 2021, December. Multimodality Data Fusion for COVID-19 Diagnosis. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 4659-4666),15 Dec, 2021, doi:10.1109/BigData52589.2021.9671302, ISBN: 978-1-6654-3902-2.

   10. Jagadish D.N., Chauhan A., Mahto L. (2021) Autonomous Vehicle Path Prediction Using Conditional Variational Autoencoder Networks. In: Karlapalem K. et al. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science, vol 12712. Springer, Cham. 

   11. A. Chauhan, S. Kumar, L. Mahto and J. D. N, "Detection of Reckless Driving using Deep Learning," 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2020, pp. 853-858, 

   12. J. D. N, L. Mahto and A. Chauhan, "Density Based Clustering Methods for Road Traffic Estimation," 2020 IEEE REGION 10 CONFERENCE (TENCON), Osaka, Japan, 2020, pp. 885-890.

   13. Jagadish, D. N., Mahto, L., Chauhan A. (2021) Deep Learning and Density Based Clustering Methods for Road Traffic Prediction. In: Singh S.K., Roy P., Raman B., Nagabhushan P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1378. Springer, Singapore.  

   14. Mahto, L., Abbas, S, Existence and uniqueness of solution of Caputo fractional differential equations, AIP Conf. Proc. 1479, 896-899, (2012).

   15. Abbas, S., Mahto, L., Existence of almost periodic solution of a model of phytoplankton allelopathy with delay"", AIP Conf. Proc. 1479, 900-904, (2012).

Workshop proceedings:

1. 16. Jagadish D N, Arun Chauhan, Lakshman Mahto, Deep Learning Techniques for Autonomous Vehicle Path Prediction, AAAI workshop on the AI for Urban Mobility Workshop (AI4UM 2021).

   17. L Mahto, A Chauhan, An approximate gradient based hyper-parameter optimization in a neural network architecture, NeurIPS 12th workshop on Optimization in Machine Learning (OPT2020) 12, 6

Preprint:

Book:

1. 18. L Mahto, Introduction to Probability and Statistics: a computational framework of randomness.