Professor Saeid Nahavandi
Professor Saeid Nahavandi
IEEE Fellow, Director, Institute for Intelligent Systems Research and Innovation (IISRI), Deakin
Verified email at - Homepage
Cited by
Cited by
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
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
Systems of systems engineering: principles and applications
M Jamshidi
CRC press, 2017
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
Comments on'Information measure for performance of image fusion'
M Hossny, S Nahavandi, D Creighton
Electronics letters 44 (18), 1066-1067, 2008
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
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
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
Characterization of conducting polymer coated synthetic fabrics for heat generation
E Hakansson, A Kaynak, T Lin, S Nahavandi, T Jones, E Hu
Synthetic Metals 144 (1), 21-28, 2004
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
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
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
Bag-of-words representation for biomedical time series classification
J Wang, P Liu, MFH She, S Nahavandi, A Kouzani
Biomedical Signal Processing and Control 8 (6), 634-644, 2013
Automatic inspection of metallic surface defects using genetic algorithms
H Zheng, LX Kong, S Nahavandi
Journal of materials processing technology 125, 427-433, 2002
Prediction intervals to account for uncertainties in travel time prediction
A Khosravi, E Mazloumi, S Nahavandi, D Creighton, JWC Van Lint
IEEE Transactions on Intelligent Transportation Systems 12 (2), 537-547, 2011
Electromagnetic interference shielding and radiation absorption in thin polypyrrole films
E Håkansson, A Amiet, S Nahavandi, A Kaynak
European polymer journal 43 (1), 205-213, 2007
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
Classification of healthcare data using genetic fuzzy logic system and wavelets
T Nguyen, A Khosravi, D Creighton, S Nahavandi
Expert Systems with Applications 42 (4), 2184-2197, 2015
Optimal H/sup/spl infin//insulin injection control for blood glucose regulation in diabetic patients
F Chee, AV Savkin, TL Fernando, S Nahavandi
IEEE Transactions on Biomedical Engineering 52 (10), 1625-1631, 2005
Coordinated energy management of vehicle air conditioning system
H Khayyam, AZ Kouzani, EJ Hu, S Nahavandi
Applied thermal engineering 31 (5), 750-764, 2011
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