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Distinguished Professor Saeid Nahavandi
Distinguished Professor Saeid Nahavandi
IEEE Fellow, Swinburne University of Technology, Harvard University
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ...
Information fusion 76, 243-297, 2021
20852021
Industry 5.0—A human-centric solution
S Nahavandi
Sustainability 11 (16), 4371, 2019
12742019
Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications
TT Nguyen, ND Nguyen, S Nahavandi
IEEE transactions on cybernetics 50 (9), 3826-3839, 2020
10602020
Lower upper bound estimation method for construction of neural network-based prediction intervals
A Khosravi, S Nahavandi, D Creighton, AF Atiya
IEEE transactions on neural networks 22 (3), 337-346, 2010
7302010
Comprehensive review of neural network-based prediction intervals and new advances
A Khosravi, S Nahavandi, D Creighton, AF Atiya
IEEE Transactions on neural networks 22 (9), 1341-1356, 2011
7012011
Deep learning for deepfakes creation and detection: A survey
TT Nguyen, QVH Nguyen, DT Nguyen, DT Nguyen, T Huynh-The, ...
Computer Vision and Image Understanding 223, 103525, 2022
6602022
Dielectrophoretic platforms for bio-microfluidic systems
K Khoshmanesh, S Nahavandi, S Baratchi, A Mitchell, K Kalantar-zadeh
Biosensors and Bioelectronics 26 (5), 1800-1814, 2011
4762011
Comments on'Information measure for performance of image fusion'
M Hossny, S Nahavandi, D Creighton
Deakin University, 2008
4702008
Epileptic seizures detection using deep learning techniques: a review
A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, ...
International journal of environmental research and public health 18 (11), 5780, 2021
3252021
Synchronization of an inertial neural network with time-varying delays and its application to secure communication
S Lakshmanan, M Prakash, CP Lim, R Rakkiyappan, P Balasubramaniam, ...
IEEE transactions on neural networks and learning systems 29 (1), 195-207, 2016
3242016
A review of vision-based gait recognition methods for human identification
J Wang, M She, S Nahavandi, A Kouzani
2010 international conference on digital image computing: techniques and …, 2010
2922010
Prediction intervals for short-term wind farm power generation forecasts
A Khosravi, S Nahavandi, D Creighton
IEEE Transactions on sustainable energy 4 (3), 602-610, 2013
2812013
Construction of optimal prediction intervals for load forecasting problems
A Khosravi, S Nahavandi, D Creighton
IEEE Transactions on Power Systems 25 (3), 1496-1503, 2010
2712010
Neural network-based uncertainty quantification: A survey of methodologies and applications
HMD Kabir, A Khosravi, MA Hosen, S Nahavandi
IEEE access 6, 36218-36234, 2018
2632018
Automated detection and forecasting of covid-19 using deep learning techniques: A review
A Shoeibi, M Khodatars, M Jafari, N Ghassemi, D Sadeghi, P Moridian, ...
Neurocomputing, 127317, 2024
2622024
Efficient road detection and tracking for unmanned aerial vehicle
H Zhou, H Kong, L Wei, D Creighton, S Nahavandi
IEEE transactions on intelligent transportation systems 16 (1), 297-309, 2014
2582014
Machine learning-based coronary artery disease diagnosis: A comprehensive review
R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, PM Kebria, ...
Computers in biology and medicine 111, 103346, 2019
2522019
A new fuzzy-based combined prediction interval for wind power forecasting
A Kavousi-Fard, A Khosravi, S Nahavandi
IEEE Transactions on Power Systems 31 (1), 18-26, 2015
2502015
Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
M Khodatars, A Shoeibi, D Sadeghi, N Ghaasemi, M Jafari, P Moridian, ...
Computers in biology and medicine 139, 104949, 2021
2272021
Interval type-2 fuzzy logic systems for load forecasting: A comparative study
A Khosravi, S Nahavandi, D Creighton, D Srinivasan
IEEE Transactions on Power Systems 27 (3), 1274-1282, 2012
2192012
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