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Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía-Oller, Miguel Martínez-Comesaña and Sérgio Ramos
Characterizing the electric energy curve can improve the energy efficiency of existing buildings without any structural change and is the basis for controlling and optimizing building performance. Artificial Intelligence (AI) techniques show much potenti...
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Oleg M. Alifanov, Margarita O. Salosina, Sergey A. Budnik and Aleksey V. Nenarokomov
Highly porous open-cell carbon materials have great potential for use as high-temperature thermal insulation for space vehicles due to a unique combination of properties: low density, high rigidity, sufficient compressive strength, and low thermal conduc...
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Joseph Isabona, Agbotiname Lucky Imoize, Stephen Ojo, Olukayode Karunwi, Yongsung Kim, Cheng-Chi Lee and Chun-Ta Li
Modern cellular communication networks are already being perturbed by large and steadily increasing mobile subscribers in high demand for better service quality. To constantly and reliably deploy and optimally manage such mobile cellular networks, the ra...
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Markus Baumann, Christian Koch and Stephan Staudacher
Model-based predictive maintenance using high-frequency in-flight data requires digital twins that can model the dynamics of their physical twin with high precision. The models of the twins need to be fast and dynamically updatable. Machine learning offe...
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SK Safdar Hossain, Bamidele Victor Ayodele, Zaid Abdulhamid Alhulaybi and Muhammad Mudassir Ahmad Alwi
This study explored the feasibility of various multilayer perceptron configurations for modeling biohydrogen production from biodiesel production waste. Based on the best model, knowledge of how various parameters influence biohydrogen production can be ...
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