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Shichang Xiao, Jinshan Huang, Hongtao Hu and Yuxin Gu
Automatic guided vehicles (AGVs) in the horizontal area play a crucial role in determining the operational efficiency of automated container terminals (ACTs). To improve the operational efficiency of an ACT, it is essential to decrease the impact of batt...
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Touraj Farsadi, Majid Ahmadi, Melin Sahin, Hamed Haddad Khodaparast, Altan Kayran and Michael I. Friswell
In the field of aerospace engineering, the design and manufacturing of high aspect ratio composite wings has become a focal point of innovation and efficiency. These long, slender wings, constructed with advanced materials such as carbon fiber and employ...
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Daudi Mashauri Migayo, Shubi Kaijage, Stephen Swetala and Devotha G. Nyambo
Applying deep learning models requires design and optimization when solving multifaceted artificial intelligence tasks. Optimization relies on human expertise and is achieved only with great exertion. The current literature concentrates on automating des...
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Minh Tran, Duc Pham-Hi and Marc Bui
In this paper, we propose a novel approach to optimize parameters for strategies in automated trading systems. Based on the framework of Reinforcement learning, our work includes the development of a learning environment, state representation, reward fun...
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Duc-Tien Bui, Hexuan Li, Francesco De Cristofaro and Arno Eichberger
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle?s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characteristics an...
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