1) Mandal, S., Dutta, P. (2024). A Review of Computational Approach for S-system-based Modeling of Gene Regulatory Network. In: Mandal, S. (eds) Reverse Engineering of Regulatory Networks. Methods in Molecular Biology, vol 2719. pp. 133-152. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3461-5_8. [DOP: 07 October 2023, Online ISBN: 978-1-0716-3461-5, Scopus Indexed]
2) Mondal, N., Mandal, S., Mandal, M.C., Das, S., Haldar, B. (April, 2022). ANN-FPA Based Modelling and Optimization of Drilling Burrs Using RSM and GA. In: Batako, A., Burduk, A., Karyono, K., Chen, X., Wyczółkowski, R. (eds) Advances in Manufacturing Processes, Intelligent Methods and Systems in Production Engineering. GCMM 2021. Lecture Notes in Networks and Systems, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-90532-3_15 [Scopus Indexed]
3) S. Mandal, G. Saha, and R.K. Pal, “Inference of Gene Regulatory Networks with Neural-Cuckoo Hybrid,” Book chapter of Advanced Computing and Systems for Security (Springer India), pp. 87-97, 2015, ISBN: 978-81-322-2650-5, DOI: 10.1007/978-81-322-2650-5_6. [Scopus Indexed]