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Mehdi Ghatee
Mehdi Ghatee
Associate Professor of Computer Science Department, Amirkabir University of Technology, Tehran, Iran
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Titre
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Année
Computational methods for solving fully fuzzy linear systems
M Dehghan, B Hashemi, M Ghatee
Applied mathematics and computation 179 (1), 328-343, 2006
3122006
Solution of the fully fuzzy linear systems using iterative techniques
M Dehghan, B Hashemi, M Ghatee
Chaos, Solitons & Fractals 34 (2), 316-336, 2007
1962007
A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data
MM Bejani, M Ghatee
Transportation Research Part C: Emerging Technologies 89, 303-320, 2018
942018
An inference engine for smartphones to preprocess data and detect stationary and transportation modes
HR Eftekhari, M Ghatee
Transportation Research Part C: Emerging Technologies 69, 313-327, 2016
542016
Ranking function-based solutions of fully fuzzified minimal cost flow problem
M Ghatee, SM Hashemi
Information Sciences 177 (20), 4271-4294, 2007
492007
Optimal network design and storage management in petroleum distribution network under uncertainty
M Ghatee, SM Hashemi
Engineering Applications of Artificial Intelligence 22 (4-5), 796-807, 2009
482009
Generalized minimal cost flow problem in fuzzy nature: an application in bus network planning problem
M Ghatee, SM Hashemi
Applied Mathematical Modelling 32 (12), 2490-2508, 2008
482008
Hybrid of discrete wavelet transform and adaptive neuro fuzzy inference system for overall driving behavior recognition
HR Eftekhari, M Ghatee
Transportation research part F: traffic psychology and behaviour 58, 782-796, 2018
472018
Preemptive priority-based algorithms for fuzzy minimal cost flow problem: An application in hazardous materials transportation
M Ghatee, SM Hashemi, M Zarepisheh, E Khorram
Computers & Industrial Engineering 57 (1), 341-354, 2009
462009
A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors
HR Eftekhari, M Ghatee
Journal of Intelligent Transportation Systems 23 (1), 72-83, 2019
442019
Traffic assignment model with fuzzy level of travel demand: An efficient algorithm based on quasi-Logit formulas
M Ghatee, SM Hashemi
European Journal of Operational Research 194 (2), 432-451, 2009
442009
Three-phases smartphone-based warning system to protect vulnerable road users under fuzzy conditions
RB Zadeh, M Ghatee, HR Eftekhari
IEEE Transactions on Intelligent Transportation Systems 19 (7), 2086-2098, 2017
422017
Application of fuzzy minimum cost flow problems to network design under uncertainty
M Ghatee, SM Hashemi
Fuzzy sets and systems 160 (22), 3263-3289, 2009
412009
Motion planning in order to optimize the length and clearance applying a Hopfield neural network
M Ghatee, A Mohades
Expert Systems with Applications 36 (3), 4688-4695, 2009
412009
Convolutional neural network with adaptive regularization to classify driving styles on smartphones
MM Bejani, M Ghatee
IEEE transactions on intelligent transportation systems 21 (2), 543-552, 2019
382019
Convolution neural network joint with mixture of extreme learning machines for feature extraction and classification of accident images
A Pashaei, M Ghatee, H Sajedi
Journal of Real-Time Image Processing 17, 1051–1066, 2020
342020
Multimodal K-shortest viable path problem in Tehran public transportation network and its solution applying ant colony and simulated annealing algorithms
M Niksirat, M Ghatee, SM Hashemi
Applied Mathematical Modelling 36 (11), 5709-5726, 2012
332012
Inverse of a fuzzy matrix of fuzzy numbers
M Dehghan, M Ghatee, B Hashemi
International Journal of Computer Mathematics 86 (8), 1433-1452, 2009
302009
An LP-based approach to outliers detection in fuzzy regression analysis
E Nasrabadi, SM Hashemi, M Ghatee
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2007
272007
Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification
S Abpeykar, M Ghatee, H Zare
Computational Statistics & Data Analysis 131, 12-36, 2019
262019
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