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Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction.

, and . EANN, volume 311 of Communications in Computer and Information Science, page 71-80. Springer, (2012)

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Intelligent hybrid modelling towards the prognosis of abdominal pain., and . Int. J. Hybrid Intell. Syst., 6 (4): 245-255 (2009)An Artificial Neural Network model for mountainous water-resources management: The case of Cyprus mountainous watersheds., and . Environ. Model. Softw., 22 (7): 1066-1072 (2007)Special issue on Industrial Applications of Neural Networks.. Inf. Sci., 178 (20): 3799-3801 (2008)Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros., and . EANN, volume 43 of Communications in Computer and Information Science, page 55-66. (2009)Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement., and . EANN, volume 43 of Communications in Computer and Information Science, page 1-16. (2009)Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data., and . Evol. Syst., 4 (4): 221-233 (2013)Emerging applications of Deep Learning and Spiking ANN., and . Neural Comput. Appl., 32 (23): 17119-17124 (2020)A deep spiking machine-hearing system for the case of invasive fish species., , and . INISTA, page 23-28. IEEE, (2017)Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms., , and . AIAI, volume 559 of IFIP Advances in Information and Communication Technology, page 647-659. Springer, (2019)Extreme deep learning in biosecurity: the case of machine hearing for marine species identification., , and . J. Information Telecommunication, 2 (4): 492-510 (2018)