The results lead to three major conclusions: (1) The MINLP model for LEO long-duration multi-spacecraft rendezvous mission is effective, and the proposed hybrid optimization strategy can obtain good solutions that satisfy time window constraints; (2) The derived linear dynamic equations are good ...
Their methodology employed a hybrid model, combining convolutional neural networks (CNNs) with long short-term memory (LSTM) networks, to significantly enhance prediction accuracy. The versatile application of deep learning in sensory systems was further highlighted by Lu et al.19 who developed a ...
Flow chart of the hybrid optimization algorithm. Step 1. According to the (iS, ΩS) of the space station, the trans-Earth window is estimated based on the pseudo perilune longitude rule in Equation (6) and the pseudo argument of latitude rule in Equation (7). Step 2. Set the initial...
To gas industry, can be produced with new hybrid take advantage of these kinds of technology materials compositions that take their durability breakthroughs, the whole company needs to to a new level. collaborate much more closely — and emerging There's really no limit to the benefits that ...
The routing protocol proposed in Ref.[14] employs a hybrid method that uses the geographic-based routing and the shortest path routing with limited scope. The MLSR[15] and SGRP[16] are two new proposals for multi-layered hierarchical satellite networks. Based on the delay reports sent by the...
Multi-disciplinary design optimization with fuzzy uncertainties and its application in hybrid rocket motor powered launch vehicle Chin J Aeronaut, 33 (5) (2020), pp. 1454-1467 View PDFView articleCrossrefView in ScopusGoogle Scholar 25 A. Arias-Montaño, C.A.C. Coello, E. Mezura-Montes Mu...
[13] introduced a computation offloading scheme for a hybrid cloud and edge computing LEO satellite network to minimize the overall energy consumption of ground users. By leveraging the alternating direction method of multipliers, a distributed algorithm was proposed to provide a near-optimal solution....
Guided by the space information graph, the model-based DRL employs a hybrid attention mechanism to mitigate beam-level interference through beam hopping and pointing optimization. Meanwhile, the model-free DRL optimizes channel allocation and power control to achieve user-level spectrum sharing, aiming...
说明:本文已经提交到github,地址:https://github.com/asxinyu/awesome-R,由于个人知识和能力限制,部分组件特别是机器学习方面比较专业的术语无法翻译,如果有懂的朋友可以留言或者在github直接修改。一起完善。 这里有很多非常不错的R包和工具. 该想法来自于awesome-machine-learning. ...
In recent years, data scheduling in satellite networks has drawn much attention. The nodes in the satellite network change dynamically, and there is no con