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Shao Xuan Seah and Sutthiphong Srigrarom
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ...
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Chengpeng Jiang, Shuai Chen, Jinglin Li, Haoran Wang, Jing Wang, Taian Xu and Wendong Xiao
Wireless energy transfer technology (WET)-enabled mobile charging provides an innovative strategy for energy replenishment in wireless rechargeable sensor networks (WRSNs), where the mobile charger (MC) can charge the sensors sequentially by WET accordin...
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Wanlu Zhu, Tianwen Gu, Jie Wu and Zhengzhuo Liang
In instances where vessels encounter impacts or other factors leading to communication impairments, the status of electrical equipment becomes inaccessible through standard communication lines for the controllers. Consequently, the shipboard power system...
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Mubbashar Nazeer, Waqas Ali and Farooq Hussain
Problem statement: The study offers theoretical formulations for high-viscosity particulate flows in inclined reservoirs, taking into account the presence of homogeneous spheroidal particles of various types to produce discrete two-phase suspensions. Pur...
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Lidao Chen and Yong Liu
In this paper, a differential quadrature method of high-order precision (DQ-Pade), which is equivalent to the generalized Pade approximation for approximating the end of a time or spatial interval, is used to solve nonlinear fully intrinsic equations of ...
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