Assessing circularity of multi-sectoral systems under the Water-Energy-Food-Ecosystems (WEFE) nexus CE Nika, V Vasilaki, D Renfrew, M Danishvar, A Echchelh, E Katsou Water Research 221, 118842, 2022 | 28 | 2022 |
Automatically identified EEG signals of movement intention based on CNN network (End-To-End) N Shahini, Z Bahrami, S Sheykhivand, S Marandi, M Danishvar, ... Electronics 11 (20), 3297, 2022 | 22 | 2022 |
Zero defect manufacturing of microsemiconductors–an application of machine learning and artificial intelligence Z Huang, VC Angadi, M Danishvar, A Mousavi, M Li 2018 5th International Conference on Systems and Informatics (ICSAI), 449-454, 2018 | 19 | 2018 |
EventiC: A real-time unbiased event-based learning technique for complex systems M Danishvar, A Mousavi, P Broomhead IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (5), 1649-1662, 2018 | 18 | 2018 |
Cost-based decision support system: a dynamic cost estimation of key performance indicators in manufacturing F Psarommatis, M Danishvar, A Mousavi, D Kiritsis IEEE Transactions on Engineering Management 71, 702-714, 2022 | 17 | 2022 |
Classification cardiac beats using arterial blood pressure signal based on discrete wavelet transform and deep convolutional neural network R Arvanaghi, S Danishvar, M Danishvar Biomedical Signal Processing and Control 71, 103131, 2022 | 16 | 2022 |
Real-time event-driven learning in highly volatile systems: A case for embedded machine learning for scada systems M Goncalves, P Sousa, J Mendes, M Danishvar, A Mousavi Ieee Access 10, 50794-50806, 2022 | 14 | 2022 |
Energy-aware flowshop scheduling: A case for AI-driven sustainable manufacturing M Danishvar, S Danishvar, E Katsou, SA Mansouri, A Mousavi IEEE Access 9, 141678-141692, 2021 | 14 | 2021 |
Boosting iris recognition by margin-based loss functions R Alinia Lat, S Danishvar, H Heravi, M Danishvar Algorithms 15 (4), 118, 2022 | 13 | 2022 |
EGEP: An Event Tracker Enhanced Gene Expression Programming for Data Driven System Engineering Problems ZW Z.Huang, M.Li, A. Mousavi, M. Danishvar IEEE Transactions on Emerging Topics in Computational Intelligence 3 (2 …, 2018 | 10* | 2018 |
Multispectral and panchromatic images fusion based on integrating feedback retina and IHS model S Daneshvar, M Elyasi, M Danishvar Lecture Notes in Engineering and Computer Science: Proceedings of The World …, 2011 | 10 | 2011 |
Coarse return prediction in a cement industry’s closed grinding circuit system through a fully connected deep neural network (FCDNN) model M Danishvar, S Danishvar, F Souza, P Sousa, A Mousavi Applied Sciences 11 (4), 1361, 2021 | 8 | 2021 |
EventClustering for improved real time input variable selection and data modelling M Danishvar, A Mousavi, P Sousa 2014 IEEE Conference on Control Applications (CCA), 1801-1806, 2014 | 6 | 2014 |
Event-clustering for real-time data modeling M Danishvar, A Mousavi, P Sousa, R Araujo 2013 IEEE International Conference on Automation Science and Engineering …, 2013 | 6 | 2013 |
Combination of feature and pixel level image fusion with feedback retina and IHS model S Daneshvar, H Pourghassem, M Danishvar, H Ghassemian IAENG International Journal of Computer Science 38 (3), 302-308, 2011 | 5 | 2011 |
A PdM framework through the event-based genomics of machine breakdown M Danishvar, VC Angadi, A Mousavi 2020 Asia-Pacific International Symposium on Advanced Reliability and …, 2020 | 4 | 2020 |
The Genomics of Industrial Process Through the Qualia of Markovian Behavior M Danishvar, A Mousavi, S Danishvar IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (11), 7173-7184, 2022 | 3 | 2022 |
Simulation of Event-Based Technique for Harmonic Failures FZM Fadzil, A Mousavi, M Danishvar 2019 IEEE/SICE International Symposium on System Integration (SII), 66-72, 2019 | 3 | 2019 |
Application of Data Driven techniques to Predict N2O Emission in Full-scale WWTPs M Danishvar, V Vasilaki, Z Huang, E Katsou, A Mousavi 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 3 | 2018 |
Application of Event-Based Real-Time Analysis for Long-Term N2O Monitoring in Full-Scale WWTPs V Vasilaki, M Danishvar, Z Huang, A Mousavi, E Katsou Frontiers in Wastewater Treatment and Modelling: FICWTM 2017 1, 436-443, 2017 | 3 | 2017 |