Agrawal, Anand Kumar, Narasimhan Swaminathan, and Umair Hussain. ”Probabilistic modelling
batteries using optimally tuned Gaussian process regression models.” Journal of The Electrochemical
Society, vol. 172, p.013501 (2024).
Agrawal, Anand Kumar and Goutam Chakraborty, “Neighborhood component analysis to leverage
Structures, Vol. 57, p. 105174, Elsevier (2023), November.
Agrawal, Anand Kumar and Goutam Chakraborty. ”Semi-supervised implementation of SVM-
based error-correcting output code for damage-type identification in structures.” Structural Control
and Health Monitoring (2022): e2967.
Agrawal, Anand Kumar and Goutam Chakraborty. ”On the use of acquisition function-based
Bayesian optimization method to efficiently tune SVM hyperparameters for structural damage detec-
tion.” Structural Control and Health Monitoring 28, no. 4 (2021): e2693.
Agrawal, Anand Kumar and Goutam Chakraborty. ”Dynamics of a cracked cantilever beam
subjected to a moving point force using discrete element method.” Journal of Vibration Engineering
& Technologies 9, no. 5 (2020): 803-815.
Karan, S.K., Maiti, S., Agrawal, Anand Kumar, et al. “Designing high energy conversion efficient
energy harvester with remarkable power density”. Nano Energy, 59 (2019), pp.169-183.
Agrawal, Anand Kumar and Surendra Kumar. ”Fatigue life prediction of a Hoop-Wrapped com-
posite CNG cylinder containing surface flaw.” Int. J. Emerg. Technol. Adv. Eng 4 (2014): 790-796.
Agrawal, Anand Kumar, and G. Chakraborty. ”Structural damage detection by integrating short
time Fourier transform, principal component analysis, and logistic regression.” In Safety and Relia-
bility–Safe Societies in a Changing World, pp. 971-976. CRC Press, 2018.