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Patients Classification on Weaning Trials Using Neural Networks and Wavelet Transform.

, , , and . ICIMTH, volume 202 of Studies in Health Technology and Informatics, page 107-110. IOS Press, (2014)

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Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks., , , and . Expert Syst. Appl., 41 (11): 5296-5307 (2014)Patients Classification on Weaning Trials Using Neural Networks and Wavelet Transform., , , and . ICIMTH, volume 202 of Studies in Health Technology and Informatics, page 107-110. IOS Press, (2014)Brain tumour classification using Gaussian decomposition and neural networks., , , and . EMBC, page 5645-5648. IEEE, (2011)Frequency Selection for the Diagnostic Characterization of Human Brain Tumours., , and . CCIA, volume 202 of Frontiers in Artificial Intelligence and Applications, page 391-398. IOS Press, (2009)Analysis of Respiratory Flow Signals to Identify Success of Patients on Weaning Trials., , and . IWBBIO, page 789-797. Copicentro Editorial, (2014)Design and Experimental Validation of Adaptive Fuzzy PID Controller for a Three Degrees of Freedom Helicopter., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2018)Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks., , and . Expert Syst. Appl., 39 (5): 5223-5232 (2012)Nonlinear dynamic analysis of the cardiorespiratory system in patients undergoing the weaning process., , , , and . EMBC, page 3493-3496. IEEE, (2017)Current-Mode Winner-Take-All Circuit with Improved Dynamic Response., , , and . CSSP, 34 (2): 625-639 (2015)