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Mahdi Amina
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2020 – today
- 2020
- [j4]Mahdi Amina, Javad Yazdani, Stefano Rovetta, Francesco Masulli:
Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder. Artif. Intell. Medicine 106: 101819 (2020)
2010 – 2019
- 2016
- [c5]Wasiq Khan, Darren Ansell, Kaya Kuru, Mahdi Amina:
Automated aircraft instrument reading using real time video analysis. IEEE Conf. on Intelligent Systems 2016: 416-420 - 2014
- [c4]Mahdi Amina, Francesco Masulli, Stefano Rovetta:
Genetic algorithm-based neural error correcting output classifier. CIEL 2014: 62-67 - 2013
- [j3]Vassilis S. Kodogiannis, Mahdi Amina, Ilias Petrounias:
A Clustering-Based Fuzzy Wavelet Neural Network Model for Short-Term Load Forecasting. Int. J. Neural Syst. 23(5) (2013) - 2012
- [j2]Mahdi Amina, Vassilis S. Kodogiannis, Ilias Petrounias, John N. Lygouras, George-John E. Nychas:
Identification of the Listeria monocytogenes survival curves in UHT whole milk utilising local linear wavelet neural networks. Expert Syst. Appl. 39(1): 1435-1450 (2012) - 2011
- [b1]Mahdi Amina:
Dynamic non-linear system modelling using wavelet-based soft computing techniques. University of Westminster, London, UK, 2011 - [j1]Vassilis S. Kodogiannis, Mahdi Amina, John N. Lygouras:
Power load forecasting using extended normalised radial basis function networks. J. Comput. Methods Sci. Eng. 11(4): 243-255 (2011) - [c3]Mahdi Amina, Vassilis S. Kodogiannis:
Load forecasting using fuzzy wavelet neural networks. FUZZ-IEEE 2011: 1033-1040 - 2010
- [c2]Mahdi Amina, Vassilis S. Kodogiannis, Efstathios Z. Panagou, George-John E. Nychas:
Modeling the Listeria monocytogenes survival/death curves using wavelet neural networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c1]Mahdi Amina, Vassilis Kodogiannis, Andrzej Tarczynski:
Predictive modeling in food mycology using adaptive neuro-fuzzy systems. AICCSA 2009: 821-828
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