Titolo | Pubblicato in | Anno |
---|---|---|
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification | NEUROCOMPUTING | 2015 |
Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms | NEUROCOMPUTING | 2015 |
Prediction of telephone calls load using Echo State Network with exogenous variables | NEURAL NETWORKS | 2015 |
Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2015 |
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach | Proc. of IJCNN 2015 - International Joint Conference on Neural Networks | 2015 |
Short-term electric load forecasting using echo state networks and PCA decomposition | IEEE ACCESS | 2015 |
Non-linear circuits and systems, Soft Computing, Pattern Recognition, Computational Intelligence, Granular Computing and Knowledge Discovery, Complex Systems modelling and control, Supervised and unsupervised data driven modeling techniques, neural networks, fuzzy systems, evolutionary algorithms. Design of automatic modeling systems, clustering, classification, function approximation, prediction.Computational Intelligence techniques for Smart Grids and Micro Grids modelling, monitoring and control, Intelligent Systems for Sustainable Mobility, Energy Storage Systems modeling and control, Predictive Diagnostc systems for Condition Based Maintenance, Big Data for Industrial Applications, Classification and clustering systems in structured domains, Machine learning in non-metric spaces, graph and sequence matching, agent-based clustering and substructures mining, parallel and distributed computing. Machine learning for natural language processing, cybersecurity, bioinformatics, medical diagnosis.
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