Risk-averse stochastic programming approach for microgrid planning under uncertainty A Narayan, K Ponnambalam Renewable energy 101, 399-408, 2017 | 133 | 2017 |
Learning graph dynamics using deep neural networks A Narayan, PHON Roe Ifac-Papersonline 51 (2), 433-438, 2018 | 64 | 2018 |
Long Short Term Memory Networks for Short-Term Electric Load Forecasting A Narayan, KW Hipel | 54 | 2017 |
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing M Ramezankhani, B Crawford, A Narayan, H Voggenreiter, R Seethaler, ... Journal of Manufacturing Systems 59, 345-354, 2021 | 48 | 2021 |
Author Correction: The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome N Kazemian, M Ramezankhani, A Sehgal, FM Khalid, AHZ Kalkhoran, ... Scientific Reports 11, 2021 | 41* | 2021 |
A stochastic programming approach for the planning and operation of a power to gas energy hub with multiple energy recovery pathways U Mukherjee, A Maroufmashat, A Narayan, A Elkamel, M Fowler Energies 10 (7), 868, 2017 | 35 | 2017 |
Mining timed regular specifications from system traces A Narayan, G Cutulenco, Y Joshi, S Fischmeister ACM Transactions on Embedded Computing Systems (TECS) 17 (2), 1-21, 2018 | 27 | 2018 |
Adversarial patch attacks and defences in vision-based tasks: A survey A Sharma, Y Bian, P Munz, A Narayan arXiv preprint arXiv:2206.08304, 2022 | 22 | 2022 |
Mining timed regular expressions from system traces G Cutulenco, Y Joshi, A Narayan, S Fischmeister Proceedings of the 5th international workshop on software mining, 3-10, 2016 | 20 | 2016 |
A novel quantum evolutionary algorithm for quadratic knapsack problem A Narayan, C Patvardhan 2009 IEEE International Conference on Systems, Man and Cybernetics, 1388-1392, 2009 | 18 | 2009 |
Enhanced quantum evolutionary algorithms for difficult knapsack problems C Patvardhan, A Narayan, A Srivastav Pattern Recognition and Machine Intelligence: Second International …, 2007 | 18 | 2007 |
An active transfer learning (ATL) framework for smart manufacturing with limited data: case study on material transfer in composites processing M Ramezankhani, A Narayan, R Seethaler, AS Milani 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 16 | 2021 |
A data-driven multi-fidelity physics-informed learning framework for smart manufacturing: a composites processing case study M Ramezankhani, A Nazemi, A Narayan, H Voggenreiter, M Harandi, ... 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems …, 2022 | 13 | 2022 |
Machine learning directed aptamer search from conserved primary sequences and secondary structures J Perez Tobia, PJJ Huang, Y Ding, R Saran Narayan, A Narayan, J Liu ACS Synthetic Biology 12 (1), 186-195, 2023 | 12 | 2023 |
Deep learning for system trace restoration I Sucholutsky, A Narayan, M Schonlau, S Fischmeister 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 10 | 2019 |
Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts AM Fuentes, A Narayan, K Milligan, JJ Lum, AG Brolo, JL Andrews, ... Scientific Reports 13 (1), 1530, 2023 | 9 | 2023 |
Light weight dilated CNN for time series classification and prediction P Khanna, A Narayan 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 9 | 2020 |
TREM: a tool for mining timed regular specifications from system traces L Schmidt, A Narayan, S Fischmeister 2017 32nd IEEE/ACM International Conference on Automated Software …, 2017 | 9 | 2017 |
Spiking approximations of the maxpooling operation in deep SNNs R Gaurav, B Tripp, A Narayan 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 8 | 2022 |
Mining time for timed regular specifications A Narayan, S Fischmeister 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 63-69, 2019 | 7 | 2019 |