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Rebecca Zahn and Christian Breitsamter
In the present work, a reduced-order modeling (ROM) framework based on a recurrent neuro-fuzzy model (NFM) that is serial connected with a multilayer perceptron (MLP) neural network is applied for the computation of transonic aileron buzz. The training d...
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Khishigsuren Davagdorj, Jong Seol Lee, Van Huy Pham and Keun Ho Ryu
Smoking is one of the major public health issues, which has a significant impact on premature death. In recent years, numerous decision support systems have been developed to deal with smoking cessation based on machine learning methods. However, the ine...
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Zulfiqar Ahmad Khan, Amin Ullah, Waseem Ullah, Seungmin Rho, Miyoung Lee and Sung Wook Baik
Smart grid technology based on renewable energy and energy storage systems are attracting considerable attention towards energy crises. Accurate and reliable model for electricity prediction is considered a key factor for a suitable energy management pol...
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Paloma Tirado-Martin, Judith Liu-Jimenez, Jorge Sanchez-Casanova and Raul Sanchez-Reillo
Currently, machine learning techniques are successfully applied in biometrics and Electrocardiogram (ECG) biometrics specifically. However, not many works deal with different physiological states in the user, which can provide significant heart rate vari...
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Gerben Peeters, Muhammad Raheel Afzal, Maarten Vanierschot, René Boonen and Peter Slaets
The European Watertruck+
Watertruck
+
project introduced a new fleet of self-propelled inland cargo barges to the European waters, in order to induce more sustainable freight transport in the European hinterland. An augmentation of the automation level ...
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