Apurva Narayan
Apurva Narayan
Western University, University of British Columbia and University of Waterloo
Verified email at - Homepage
Cited by
Cited by
Risk-averse stochastic programming approach for microgrid planning under uncertainty
A Narayan, K Ponnambalam
Renewable energy 101, 399-408, 2017
Learning graph dynamics using deep neural networks
A Narayan, PHON Roe
Ifac-Papersonline 51 (2), 433-438, 2018
Long Short Term Memory Networks for Short-Term Electric Load Forecasting
A Narayan, KW Hipel
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
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 10 (1), 18349, 2020
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
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
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
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
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
Enhanced quantum evolutionary algorithms for difficult knapsack problems
C Patvardhan, A Narayan, A Srivastav
Pattern Recognition and Machine Intelligence: Second International …, 2007
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
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
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
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
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
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
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
Mining time for timed regular specifications
A Narayan, S Fischmeister
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 63-69, 2019
Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system
L Singh, A Narayan, S Kumar
2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on …, 2008
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