Conference

• Lone, T. M. (2024, June).
  Development of an open-source library for supply chain modeling and optimization. In Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (pp. 73-74). (Read it here)


• Lone T, P Lekshmi, and Karanjkar, N. (2023).
  An Open Tool-Set for Simulation, Design-Space Exploration and Optimization of Supply Chains and Inventory Problems. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, ISBN 978-989-758-668-2, ISSN 2184-2841, pages 432-439. (Read it here)


• P Lekshmi; Lone, T. and Karanjkar, N. (2023).
  DataFITR: An Open, Guided Input Modeling Tool for Creating Simulation-Based Digital Twins. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, ISBN 978-989-758-668-2, ISSN 2184-2841, pages 279-286. (Read it here)

Journal

• Edla, D.R., Lone, T., Tapas, N. and Kuppili, V., 2020.
  Analysis of high dimensional brain data using prototype based fuzzy clustering. Clinical Epidemiology and Global Health, 8(4), pp.1110-1118. (Read it here)


• Tripathi, D., Sharma, Y., Lone, T. and Dwivedi, S., 2018.
  Credit card fraud detection using local outlier factor. International Journal of Pure and Applied Mathematics, 118(7), pp.229-234. (Read it here)


• Tapas, N., Lone, T., Reddy, D. and Kuppili, V., 2017.
  Prediction of cardiac arrest recurrence using ensemble classifiers. Sādhanā, 42(7), pp.1135-1141. (Read it here)