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Íñigo Manuel Iglesias-Sanfeliz Cubero, Andrés Meana-Fernández, Juan Carlos Ríos-Fernández, Thomas Ackermann and Antonio José Gutiérrez-Trashorras
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María Paz Comech, José F. Sanz-Osorio, Julio J. Melero and Oscar García-Izquierdo
The electric vehicle deployment, due to the plans defined according to the energy transition objectives, produces new challenges for the electrical system. These challenges are associated with the charging infrastructure of these vehicles since they requ...
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Hyeon-Kyu Noh and Hong-June Park
A convolutional neural network (CNN) transducer decoder was proposed to reduce the decoding time of an end-to-end automatic speech recognition (ASR) system while maintaining accuracy. The CNN of 177 k parameters and a kernel size of 6 generates the proba...
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Guilherme Ramos Milis, Christophe Gay, Marie-Cécile Alvarez-Herault and Raphaël Caire
In the context of increasingly necessary energy transition, the precise modeling of profiles for low-voltage (LV) network consumers is crucial to enhance hosting capacity. Typically, load curves for these consumers are estimated through measurement campa...
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Lígia Conceição, Gonçalo Homem de Almeida Correia, Bart van Arem and José Pedro Tavares
Once trusted, automated vehicles (AVs) will gradually appear in urban areas. Such a transition is an opportunity in transport planning to control undesired impacts and possibly mitigate congestion at a time when both conventional vehicles (CVs) and AVs c...
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Ferhat Karaca, Aidana Tleuken, Rocío Pineda-Martos, Sara Ros Cardoso, Daniil Orel, Rand Askar, Akmaral Agibayeva, Elena Goicolea Güemez, Adriana Salles, Huseyin Atakan Varol and Luis Braganca
Due to its intricate production processes, complex supply chains, and industry-specific characteristics, the construction industry faces unique challenges in adopting circular economy (CE) principles that promote resource equity. To address this issue, t...
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Qian Zhang, Chang Liu, Wenhui Zhu and Shiqi Mei
Given the challenges of innovation and adaptation to change, Construction 4.0 (C4.0) is triggering a revolution within construction and industry firms from automation to a greater level of digitalization. Despite the plethora of advantages and growing re...
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Abdullah F. Al-Aboosi, Aldo Jonathan Muñoz Vazquez, Fadhil Y. Al-Aboosi, Mahmoud El-Halwagi and Wei Zhan
Accurate prediction of renewable energy output is essential for integrating sustainable energy sources into the grid, facilitating a transition towards a more resilient energy infrastructure. Novel applications of machine learning and artificial intellig...
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Ru Ye, Hongyan Xing and Xing Zhou
Addressing the limitations of manually extracting features from small maritime target signals, this paper explores Markov transition fields and convolutional neural networks, proposing a detection method for small targets based on an improved Markov tran...
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Yi Wang and Chunxin Yang
The application of the Kane equation in analyzing airdrop dynamics problems is rare. The main objective of this paper is to apply the Kane equation dynamics model to the analysis of the status continuity problem during the out-of-cabin process and the li...
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