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Ioannis G. Tsoulos and V. N. Stavrou
In the current research, we consider the solution of dispersion relations addressed to solid state physics by using artificial neural networks (ANNs). Most specifically, in a double semiconductor heterostructure, we theoretically investigate the dispersi...
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Wenyong Li, Zhenyu Zhang, Guizheng Qu, Xiaolong Cao, Wankai Shi and Guozhen Li
Rail transportation is still quite competitive according to studies on hybrid diesel engines used for rail freight propulsion. Increase the economy and the dynamics.
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Herbert Palm and Lorin Arndt
The multi-objective optimization (MOO) of complex systems remains a challenging task in engineering domains. The methodological approach of applying MOO algorithms to simulation-enabled models has established itself as a standard. Despite increasing in c...
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Faeiz Alserhani and Alaa Aljared
With the increased sophistication of cyber-attacks, there is a greater demand for effective network intrusion detection systems (NIDS) to protect against various threats. Traditional NIDS are incapable of detecting modern and sophisticated attacks due to...
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Ali Aghazadeh Ardebili, Antonio Ficarella, Antonella Longo, Adem Khalil and Sabri Khalil
Autonomous aircraft are the key enablers of future urban services, such as postal and transportation systems. Digital twins (DTs) are promising cutting-edge technologies that can transform the future transport ecosystem into an autonomous and resilient s...
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Yazeed S. Jweihan, Mazen J. Al-Kheetan and Musab Rabi
Moisture susceptibility is a complex phenomenon that induces various distresses in asphalt pavements and can be assessed by the Retained Stability Index (RSI). This study proposes a robust model to predict the RSI using a hybrid machine learning techniqu...
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Wongwan Jung and Daejun Chang
This study proposed a deep reinforcement learning-based energy management strategy (DRL-EMS) that can be applied to a hybrid electric ship propulsion system (HSPS) integrating liquid hydrogen (LH2) fuel gas supply system (FGSS), proton-exchange membrane ...
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Marc Zarnekow, Thomas Grätsch and Frank Ihlenburg
This paper proposes an efficient hybrid analytical-computational approach for the simulation of mechanical vibrations and sound radiation in wind turbine drive trains.The computational procedure encompasses the detailed modeling of vibrational sources an...
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Fan Huang, Haiping Zhang, Qiaofeng Wu, Shanqing Chi and Mingqing Yang
The proper dispatching of hydraulic structures in water diversion projects is a desirable way to maximize project benefits. This study aims to provide a reliable, optimal scheduling model for hydraulic engineering to improve the regional water environmen...
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Yizheng Yu, Pengxiang Lv, Xiao Liu and Xiang Liu
The flow-induced vibration characteristic of the U-section rubber outer windshield structure of high-speed train is the key factor to limit its high-speed movement. Accurate and effective flow-induced vibration analysis of windshield structures is an imp...
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